Tag Archive: data
Complete Data Science Certification Training Bundle for $49
KEY FEATURES
There is currently a huge wave of demand for strong analytics professionals across a range of industries, and this bundle has been designed to give you all the conceptual and technical skills to succeed in this field. You’ll get an in-depth introduction to R programming, Hadoop, Python, and Tableau – some of the most important tools for today’s data scientists.
- Access over 85 hours of high-quality content 24/7
- Understand data mining, exploration, visualization, & hypothesis testing
- Master the R programming language, R-studio, & R packages
- Learn the various types of apply functions including DPYR
- Explore statistical concepts like linear & logistic regression, cluster analysis, & forecasting
- Supercharge your analytics career by learning powerful new Excel skills
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: 12 months
- Access options: web streaming, mobile streaming
- Certification of completion included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
The online courses at Certs School give folks the chance to throw their careers into overdrive without ever leaving their cubicle. Designed to let students learn at their own pace, the courses give people the chance to learn everything from analyzing big data to using business tools such as Salesforce. Every course is designed by industry insiders with years of experience. For more details on this course and instructor, click here.
June 21, 2018 / by Marco / Architect, Bundle, Business', data, deals, design, entrepreneur, Infrastructure, ultimate, website
The Ultimate Data Infrastructure Architect Bundle for $36
KEY FEATURES
Compared to Hadoop, Spark is a significantly more simple way to process Big Data at speed. It is increasing in popularity with data analysts and engineers everywhere, and in this course you’ll learn how to use Spark with minimum fuss. Starting with the fundamentals, this ebook will help you take your Big Data analytical skills to the next level.
- Access 274 pages of content 24/7
- Get to grips w/ some simple APIs before investigating machine learning & graph processing
- Learn how to use the Spark shell
- Load data & build & run your own Spark applications
- Discover how to manipulate RDD
- Understand useful machine learning algorithms w/ the help of Spark MLlib & R
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Krishna Sankar is a Senior Specialist—AI Data Scientist with Volvo Cars focusing on Autonomous Vehicles. His earlier stints include Chief Data Scientist at http://cadenttech.tv/, Principal Architect/Data Scientist at Tata America Intl. Corp., Director of Data Science at a bioinformatics startup, and as a Distinguished Engineer at Cisco. He has been speaking at various conferences including ML tutorials at Strata SJC and London 2016, Spark Summit, Strata-Spark Camp, OSCON, PyCon, and PyData, writes about Robots Rules of Order, Big Data Analytics—Best of the Worst, predicting NFL, Spark, Data Science, Machine Learning, Social Media Analysis as well as has been a guest lecturer at the Naval Postgraduate School. His occasional blogs can be found at https://doubleclix.wordpress.com/. His other passion is flying drones (working towards Drone Pilot License (FAA UAS Pilot) and Lego Robotics—you will find him at the St.Louis FLL World Competition as Robots Design Judge.
KEY FEATURES
Apache Kafka is simple describe at a high level bust has an immense amount of technical detail when you dig deeper. This step-by-step, practical guide will help you take advantage of the power of Kafka to handle hundreds of megabytes of messages per second from multiple clients.
- Access 120 pages of content 24/7
- Set up Kafka clusters
- Understand basic blocks like producer, broker, & consumer blocks
- Explore additional settings & configuration changes to achieve more complex goals
- Learn how Kafka is designed internally & what configurations make it most effective
- Discover how Kafka works w/ other tools like Hadoop, Storm, & more
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Nishant Garg has over 14 years of software architecture and development experience in various technologies, such as Java Enterprise Edition, SOA, Spring, Hadoop, Hive, Flume, Sqoop, Oozie, Spark, Shark, YARN, Impala, Kafka, Storm, Solr/Lucene, NoSQL databases (such as HBase, Cassandra, and MongoDB), and MPP databases (such as GreenPlum).
He received his MS in software systems from the Birla Institute of Technology and Science, Pilani, India, and is currently working as a technical architect for the Big Data R&D Group with Impetus Infotech Pvt. Ltd. Previously, Nishant has enjoyed working with some of the most recognizable names in IT services and financial industries, employing full software life cycle methodologies such as Agile and SCRUM.
Nishant has also undertaken many speaking engagements on big data technologies and is also the author of HBase Essestials, Packt Publishing.
KEY FEATURES
Apache Flume is a distributed, reliable, and available service used to efficiently collect, aggregate, and move large amounts of log data. It’s used to stream logs from application servers to HDFS for ad hoc analysis. This ebook start with an architectural overview of Flume and its logical components, and pulls everything together into a real-world, end-to-end use case encompassing simple and advanced features.
- Access 178 pages of content 24/7
- Explore channels, sinks, & sink processors
- Learn about sources & channels
- Construct a series of Flume agents to dynamically transport your stream data & logs from your systems into Hadoop
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Steve Hoffman has 32 years of experience in software development, ranging from embedded software development to the design and implementation of large-scale, service-oriented, object-oriented systems. For the last 5 years, he has focused on infrastructure as code, including automated Hadoop and HBase implementations and data ingestion using Apache Flume. Steve holds a BS in computer engineering from the University of Illinois at Urbana-Champaign and an MS in computer science from DePaul University. He is currently a senior principal engineer at Orbitz Worldwide (http://orbitz.com/).
KEY FEATURES
MongoDB is a high-performance, feature-rich, NoSQL database that forms the backbone of the systems that power many organizations. Packed with easy-to-use features that have become essential for a variety of software professionals, MongoDB is a vital technology to learn for any aspiring data scientist or systems engineer. This cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities.
- Access 274 pages of content 24/7
- Initialize the server in three different modes w/ various configurations
- Get introduced to programming language drivers in Java & Python
- Learn advanced query operations, monitoring, & backup using MMS
- Find recipes on cloud deployment, including how to work w/ Docker containers along MongoDB
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Amol Nayak is a MongoDB certified developer and has been working as a developer for over 8 years. He is currently employed with a leading financial data provider, working on cutting-edge technologies. He has used MongoDB as a database for various systems at his current and previous workplaces to support enormous data volumes. He is an open source enthusiast and supports it by contributing to open source frameworks and promoting them. He has made contributions to the Spring Integration project, and his contributions are the adapters for JPA, XQuery, MongoDB, Push notifications to mobile devices, and Amazon Web Services (AWS). He has also made some contributions to the Spring Data MongoDB project. Apart from technology, he is passionate about motor sports and is a race official at Buddh International Circuit, India, for various motor sports events. Earlier, he was the author of Instant MongoDB, Packt Publishing.
Cyrus Dasadia always liked tinkering with open source projects since 1996. He has been working as a Linux system administrator and part-time programmer for over a decade. He works at InMobi, where he loves designing tools and platforms. His love for MongoDB started in 2013, when he was amazed by its ease of use and stability. Since then, almost all of his projects are written with MongoDB as the primary backend. Cyrus is also the creator of an open source alert management system called CitoEngine. He likes spending his spare time trying to reverse engineer software, playing computer games, or increasing his silliness quotient by watching reruns of Monty Python.
KEY FEATURES
ElasticSearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. Through this ebook, you’ll be guided through comprehensive recipes covering what’s new in ElasticSearch 5.x as you create complex queries and analytics. By the end, you’ll have an in-depth knowledge of how to implement the ElasticSearch architecture and be able to manage data efficiently and effectively.
- Access 696 pages of content 24/7
- Perform index mapping, aggregation, & scripting
- Explore the modules of Cluster & Node monitoring
- Understand how to install Kibana to monitor a cluster & extend Kibana for plugins
- Integrate your Java, Scala, Python, & Big Data apps w/ ElasticSearch
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Alberto Paro is an engineer, project manager, and software developer. He currently works as freelance trainer/consultant on big data technologies and NoSQL solutions. He loves to study emerging solutions and applications mainly related to big data processing, NoSQL, natural language processing, and neural networks. He began programming in BASIC on a Sinclair Spectrum when he was eight years old, and to date, has collected a lot of experience using different operating systems, applications, and programming languages.
In 2000, he graduated in computer science engineering from Politecnico di Milano with a thesis on designing multiuser and multidevice web applications. He assisted professors at the university for about a year. He then came in contact with The Net Planet Company and loved their innovative ideas; he started working on knowledge management solutions and advanced data mining products. In summer 2014, his company was acquired by a big data technologies company, where he worked until the end of 2015 mainly using Scala and Python on state-of-the-art big data software (Spark, Akka, Cassandra, and YARN). In 2013, he started freelancing as a consultant for big data, machine learning, Elasticsearch and other NoSQL products. He has created or helped to develop big data solutions for business intelligence, financial, and banking companies all over the world. A lot of his time is spent teaching how to efficiently use big data solutions (mainly Apache Spark), NoSql datastores (Elasticsearch, HBase, and Accumulo) and related technologies (Scala, Akka, and Playframework). He is often called to present at big data or Scala events. He is an evangelist on Scala and Scala.js (the transcompiler from Scala to JavaScript).
In his spare time, when he is not playing with his children, he likes to work on open source projects. When he was in high school, he started contributing to projects related to the GNOME environment (gtkmm). One of his preferred programming languages is Python, and he wrote one of the first NoSQL backends on Django for MongoDB (Django-MongoDBengine). In 2010, he began using Elasticsearch to provide search capabilities to some Django e-commerce sites and developed PyES (a Pythonic client for Elasticsearch), as well as the initial part of the Elasticsearch MongoDB river. He is the author of Elasticsearch Cookbook as well as a technical reviewer of Elasticsearch Server-Second Edition, Learning Scala Web Development, and the video course, Building a Search Server with Elasticsearch, all of which are published by Packt Publishing.
KEY FEATURES
Hadoop emerged in response to the proliferation of masses and masses of data collected by organizations, offering a strong solution to store, process, and analyze what has commonly become known as Big Data. It comprises a comprehensive stack of components designed to enable these tasks on a distributed scale, across multiple servers and thousand of machines. In this course, you’ll learn Hadoop 2, introducing yourself to the powerful system synonymous with Big Data.
- Access 19 lectures & 1.5 hours of content 24/7
- Get an overview of the Hadoop component ecosystem, including HDFS, Sqoop, Flume, YARN, MapReduce, Pig, & Hive
- Install & configure a Hadoop environment
- Explore Hue, the graphical user interface of Hadoop
- Discover HDFS to import & export data, both manually & automatically
- Run computations using MapReduce & get to grips working w/ Hadoop’s scripting language, Pig
- Siphon data from HDFS into Hive & demonstrate how it can be used to structure & query data sets
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Randal Scott King is the Managing Partner of Brilliant Data, a consulting firm specialized in data analytics. In his 16 years of consulting, Scott has amassed an impressive list of clientele from mid-market leaders to Fortune 500 household names. Scott lives just outside Atlanta, GA, with his children.
KEY FEATURES
Apache Spark is one of the most widely-used large-scale data processing engines and runs at extremely high speeds. It’s a framework that has tools that are equally useful for app developers and data scientists. This book starts with the fundamentals of Spark 2 and covers the core data processing framework and API, installation, and application development setup.
- Access 45 lectures & 5.5 hours of content 24/7
- Learn the Spark programming model through real-world examples
- Explore Spark SQL programming w/ DataFrames
- Cover the charting & plotting features of Python in conjunction w/ Spark data processing
- Discuss Spark’s stream processing, machine learning, & graph processing libraries
- Develop a real-world Spark application
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Rajanarayanan Thottuvaikkatumana, Raj, is a seasoned technologist with more than 23 years of software development experience at various multinational companies. He has lived and worked in India, Singapore, and the USA, and is presently based out of the UK. His experience includes architecting, designing, and developing software applications. He has worked on various technologies including major databases, application development platforms, web technologies, and big data technologies. Since 2000, he has been working mainly in Java related technologies, and does heavy-duty server-side programming in Java and Scala. He has worked on very highly concurrent, highly distributed, and high transaction volume systems. Currently he is building a next generation Hadoop YARN-based data processing platform and an application suite built with Spark using Scala.
Raj holds one master’s degree in Mathematics, one master’s degree in Computer Information Systems and has many certifications in ITIL and cloud computing to his credit. Raj is the author of Cassandra Design Patterns – Second Edition, published by Packt.
When not working on the assignments his day job demands, Raj is an avid listener to classical music and watches a lot of tennis.
KEY FEATURES
Businesses today have access to more data than ever before, and a key challenge is ensuring that data can be easily accessed and used efficiently. MongoDB makes it possible to store and process large sets of data in a ways that drive up business value. Learning MongoDB will give you the flexibility of unstructured storage, combined with robust querying and post processing functionality, making you an asset to enterprise Big Data needs.
- Access 64 lectures & 40 hours of content 24/7
- Master data management, queries, post processing, & essential enterprise redundancy requirements
- Explore advanced data analysis using both MapReduce & the MongoDB aggregation framework
- Delve into SSL security & programmatic access using various languages
- Learn about MongoDB’s built-in redundancy & scale features, replica sets, & sharding
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Daniel Watrous is a 15-year veteran of designing web-enabled software. His focus on data store technologies spans relational databases, caching systems, and contemporary NoSQL stores. For the last six years, he has designed and deployed enterprise-scale MongoDB solutions in semiconductor manufacturing and information technology companies. He holds a degree in electrical engineering from the University of Utah, focusing on semiconductor physics and optoelectronics. He also completed an MBA from the Northwest Nazarene University. In his current position as senior cloud architect with Hewlett Packard, he focuses on highly scalable cloud-native software systems.
KEY FEATURES
Learn how to use ElasticSearch in combination with the rest of the Elastic Stack to ship, parse, store, and analyze logs! You’ll start by getting an understanding of what ElasticSearch is, what it’s used for, and why it’s important before being introduced to the new features of Elastic Search 5.0.
- Access 35 lectures & 3 hours of content 24/7
- Go through each of the fundamental concepts of ElasticSearch such as queries, indices, & aggregation
- Add more power to your searches using filters, ranges, & more
- See how ElasticSearch can be used w/ other components like LogStash, Kibana, & Beats
- Build, test, & run your first LogStash pipeline to analyze Apache web logs
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Ethan Anthony is a San Francisco based Data Scientist who specializes in distributed data centric technologies. He is also the Founder of XResults, where the vision is to harness the power of data to innovate and deliver intuitive customer facing solutions, largely to non-technical professionals. Ethan has over 10 combined years of experience in cloud based technologies such as Amazon webservices and OpenStack, as well as the data centric technologies of Hadoop, Mahout, Spark and ElasticSearch. He began using ElasticSearch in 2011 and has since delivered solutions based on the Elastic Stack to a broad range of clientele. Ethan has also consulted worldwide, speaks fluent Mandarin Chinese and is insanely curious about human cognition, as related to cognitive dissonance.
KEY FEATURES
Amazon Web Services (AWS) provides trusted, cloud-based solutions to help businesses meet all of their needs. Running solutions in the AWS Cloud can help you (or your company) get applications up and running faster while providing the security needed to meet your compliance requirements. This course leaves no stone unturned in getting you up to speed with administering AWS.
- Access 19 lectures & 2 hours of content 24/7
- Familiarize yourself w/ the key capabilities to architect & host apps, websites, & services on AWS
- Explore the available options for virtual instances & demonstrate launching & connecting to them
- Design & deploy networking & hosting solutions for large deployments
- Focus on security & important elements of scalability & high availability
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Wayde Gilchrist started moving customers of his IT consulting business into the cloud and away from traditional hosting environments in 2010. In addition to consulting, he delivers AWS training for Fortune 500 companies, government agencies, and international consulting firms. When he is not out visiting customers, he is delivering training virtually from his home in Florida.
Pay What You Want: The Big Data Encyclopedia Bundle for $1
KEY FEATURES
This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was design to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages. If you’re a technologist who wants to expand your knowledge to perform data science operations in Spark, or a data scientist who wants to understand how algorithms are implemented in Spark, or a newbie with minimal development experience, this book is for you.
- Consolidate, clean, & transform your data acquired from various data sources
- Perform statistical analysis of data to find hidden insights
- Explore graphical techniques to see what your data looks like
- Use machine learning techniques to build predictive models
- Build scalable data products & solutions
- Start programming using the RDD, DataFrame & Dataset APIs
- Become an expert by improving your data analytical skills
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Spark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. This book is for novice and intermediate level data science professionals and data analysts who want to solve data science problems with a distributed computing framework.
- Explore the topics of data mining, text mining, Natural Language Processing, information retrieval, & machine learning
- Solve real-world analytical problems w/ large data sets
- Address data science challenges w/ analytical tools on a distributed system like Spark
- Get hands-on experience w/ algorithms like Classification, regression, & recommendation on real datasets using Spark MLLib package
- Learn about numerical & scientific computing using NumPy & SciPy on Spark
- Use Predictive Model Markup Language (PMML) in Spark for statistical data mining models
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Spark is one of the most widely-used large-scale data processing engines and runs extremely fast. It is a framework that has tools that are equally useful for application developers as well as data scientists. This book starts with the fundamentals of Spark 2 and covers the core data processing framework and API, installation, and application development setup. By the end of this book, you will have all the knowledge you need to develop efficient large-scale applications using Apache Spark.
- Get to know the fundamentals of Spark 2 & the Spark programming model using Scala and Python
- Know how to use Spark SQL & DataFrames using Scala and Python
- Get an introduction to Spark programming using R
- Perform Spark data processing, charting, & plotting using Python
- Get acquainted w/ Spark stream processing using Scala & Python
- Be introduced to machine learning using Spark MLlib
- Get started with graph processing using the Spark GraphX
- Bring together all that you’ve learned & develop a complete Spark application
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations.
- Understand how basic analytics is affected by big data
- Deep dive into effective & efficient ways of visualizing big data
- Get to know various approaches (using various technologies) to address the challenges of visualizing big data
- Comprehend the concepts & models used to visualize big data
- Know how to visualize big data in real time & for different use cases
- Understand how to integrate popular dashboard visualization tools such as Splunk & Tableau
- Get to know the value & process of integrating visual big data with BI tools such as Tableau
- Make sense of the visualization options for big data, based upon the best suited visualization techniques for big data
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Big Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. In this book, you’ll discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensics experts.
- Understand Hadoop internals & file storage
- Collect & analyze Hadoop forensic evidence
- Perform complex forensic analysis for fraud & other investigations
- Use state-of-the-art forensic tools
- Conduct interviews to identify Hadoop evidence
- Create compelling presentations of your forensic findings
- Understand how Big Data clusters operate
- Apply advanced forensic techniques in an investigation, including file carving, statistical analysis, & more
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and its current industry standards, before progressing towards coverage of major R functions for data management and transformations.
- Learn about current state of Big Data processing using R programming language & its powerful statistical capabilities
- Deploy Big Data analytics platforms w/ selected Big Data tools supported by R in a cost-effective & time-saving manner
- Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster
- Explore the compatibility of R with Hadoop, Spark, SQL & NoSQL databases, and H2O platform
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Big data is the current requirement. Most organizations produce huge amount of data every day. With the arrival of Hadoop-like tools, it has become easier for everyone to solve big data problems with great efficiency and at minimal cost. Grasping machine learning techniques can help you greatly in building predictive models, and this book will give you insights into mastering Big Data via machine learning to make better business decisions.
- Install & maintain Hadoop 2.X cluster & its ecosystem
- Write advanced Map Reduce programs & understand design patterns
- Perform advanced data analysis using the Hive, Pig, & Map Reduce programs
- Import & export data from various sources using Sqoop & Flume
- Understand data storage in various file formats such as Text, Sequential, Parquet, ORQ, & RC Files
- Discuss machine learning principles w/ libraries such as Mahout
- Explore Batch & Stream data processing using Apache Spark
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
If you are interested in building efficient business solutions using Hadoop, this is the book for you. Here, you’ll build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, thereby taking your knowledge of Hadoop to the next level.
- Learn about the evolution of Hadoop as the big data platform
- Understand the basics of Hadoop architecture
- Build a 360 degree view of your customer using Sqoop & Hive
- Create & run classification models on Hadoop using BigML
- Use Spark & Hadoop to build a fraud detection system
- Develop a churn detection system using Java & MapReduce
- Build an IoT-based data collection and visualization system
- Learn about the coexistence of NoSQL & In-Memory databases in the Hadoop ecosystem
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
This book will teach you how to deploy large-scale dataset in deep neural networks with Hadoop for optimal performance. Starting with an exploration of what deep learning is, and what the various models associated with deep neural networks are, this book will then show you how to set up the Hadoop environment for deep learning.
- Explore Deep Learning & various models associated with it
- Understand the challenges of implementing distributed deep learning w/ Hadoop & how to overcome it
- Implement Convolutional Neural Network (CNN) w/ deeplearning4j
- Delve into the implementation of Restricted Boltzmann Machines (RBM)
- Discover the mathematical explanation for implementing Recurrent Neural Networks (RNN)
- Get hands on practice of deep learning and their implementation w/ Hadoop
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt Publishing’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
Todo Backup Home + Data Recovery Wizard Pro for Windows for $49
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Todo Backup Home + Data Recovery Wizard Pro for Windows for $49
KEY FEATURES
Todo Backup Home is the simple backup software that protects your PC system and data against damage, and gets everything recovered fast when catastrophe does strike. Data loss is far more common than you think, and the rise of ransomware attacks worldwide makes it more important than ever to keep your information backed up and ready to be recovered. Todo Backup Home is your insurance policy against disaster and works quietly in the background to ensure you’re always covered.
4/5 Stars, PCWorld
“The easiest way to protect your data and system files.” 4/5 Stars, TechRadar
4/5 Stars, CNET Editors’ Rating
- Conducts full, differential, incremental, & scheduled backups that ensure data security
- Backs up entire Windows system files & keeps it running without breakdowns
- Helps to restore systems, disks, partitions, files or Outlook emails to original state within minutes
- Safeguards specific document, photo, music, video, audio, file folders or network shared files
- Makes disk cloning easy from an old disk to a new disk, or between different sized hard drives
- Allows you to migrate Windows 10 to SSD without reinstallation
PRODUCT SPECS
Details & Requirements
- Version 10.5
- Able to store backups to hard drive, external device, FTP server, network shared location, NAS, DVD, etc.
- Compatible with GPT/UEFI
- Minor updates and major upgrades included
Compatibility
- Windows 10/8.1/8/7/Vista/XP
- CPU: at least with X86 or compatible CPU with main frequency 500 MHz
- RAM: 1GB
- At least A standard PC system with mouse, keyboard and color monitor
- CD-R/RW, DVD-R/RW, DVD+R/RW or DVD+R DL drive for bootable media creation
SOFTWARE LICENSE DETAILS
- Redemption: must redeem within 30 days of purchase
- Length of access: lifetime
KEY FEATURES
Data Recovery Wizard recovers lost data from deleting, formatting, partition loss, OS crash, virus attacks, and other data loss cases. Whether your computer falls victim to age, ransomware, or literal spilled milk, Data Recovery Wizard ensures you can get all of your information back within minutes. This all-in-one system saves crucial files from PCs, laptops, servers, memory cards, USB drives, SD cards, digital cameras, and more, so you’ll never have to worry about any data loss accident.
“An impressive piece of data recovery software that will even impress IT professionals looking to sharpen their edge, EaseUS Data Recovery Wizard is one of our top recommendations.” 85%, Cloudwards
4/5 Stars, CNET Editors’ Rating
- Launch, scan, & recover in just three simple steps
- Recover data from accidentally deleted, damaged, or hidden partitions
- Recover deleted files from PC, laptop, servers & other storage media easily and quicly
- Restore inaccessible, hidden or severely corrupt data that is usually caused by file system damage, RAW hard drive, RAW partition or partition loss
- Specify file types to recover before scanning, filter search results clearly & preview all recoverable files
PRODUCT SPECS
Details & Requirements
- Version 11.6
- Languages: English, German, Japanese, French, Brazilian Portuguese, Spanish, Italian, Dutch, Chinese (Traditional), Chinese (Simplified), Swedish, Danish, Russian, Norwegian, Polish, Hungarian, Arabic, Turkish, Korean and Indonesian
- File types supported:
- Document: DOC/DOCX, XLS/XLSX, PPT/PPTX, PDF, CWK, HTML/HTM, INDD, EPS, etc.
- Graphics: JPG/JPEG, TIFF/TIF, PNG, BMP, GIF, PSD, CRW, CR2, NEF, ORF, SR2, MRW, DCR , WMF, RAW, SWF, SVG , RAF, DNG, etc.
- Video: AVI, MOV, MP4, M4V, 3GP, 3G2, WMV, MKV, ASF, FLV, SWF, MPG, RM/RMVB, MPEG etc.
- Audio: AIF/AIFF, M4A, MP3, WAV, WMA, APE, MID/MIDI, RealAudio, VQF,FLV, MKV, MPG, M4V, RM/RMVB, OGG, AAC, WMV, APE etc.
- Email: PST, DBX, EMLX, etc. (from Outlook, Outlook Express)
- Others: ZIP, RAR, SIT, ISO, HTML, SITX
- Updates included
Compatibility
- Windows 10/8.1/8/7/Vista/XP
- Windows Server 2016, Windows Server 2012, Windows Server 2008, Windows Server 2003
- File system: FAT(FAT12,FAT16,FAT32), exFAT, NTFS, NTFS5, ext2/ext3, HFS+, ReFS
- Devices supported: PC/laptop, hard drive, external disk, SSD, USB drive, micro card, memory card, camcorder, digital camera, mobile devices, music players, video players, iPod, RAID, CF/SD card, zip drive, pen drive
- CPU: at least with X86
- RAM: 128MB
- Hard disk space: 32MB
SOFTWARE LICENSE DETAILS
- Redemption: must redeem within 30 days of purchase
- Length of access: lifetime
Complete Data Science Certification Training Bundle for $49
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Machine Learning and Data Science eBook and Course Bundle for $34
KEY FEATURES
Ansible is an open source automation platform that assists organizations with tasks such as configuration management, application deployment, orchestration, and task automation. In this book, you’ll learn about the fundamentals and practical aspects of Ansible 2, getting accustomed to new features and learning how to integrate with cloud platforms like Amazon Web Services. By the end, you’ll be able to leverage Ansible parameters to expedite tasks for your organization. Or yourself.
- Access 240 pages of content 24/7
- Set up Ansible 2 & an Ansible 2 project in a future-proof way
- Perform basic operations w/ Ansible 2 such as creating, copying, moving, changing, & deleting files
- Deploy complete cloud environments using Ansible 2 on AWS & DigitalOcean
- Explore complex operations w/ Ansible 2
- Develop & test Ansible playbooks
- Write a custom module & test it
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments, stressing cooperation between different roles and how they can work together more closely. Through this book, you’ll learn how DevOps affects architecture, starting by creating a sample enterprise Java application that you will continue to work with throughout the following chapters.
- Access 240 pages of content 24/7
- Understand how all DevOps systems fit together to form a larger whole
- Set up & familiarize yourself w/ all the tools you need to be efficient w/ DevOps
- Design an application that is suitable for continuous deployment systems
- Store & manage your code effectively using different options such as Git, Gerrit, & Gitlab
- Configure a job to build a sample CRUD application
- Test the code using automated regression testing w/ Jenkins Selenium
- Deploy your code using tools such as Puppet, Ansible, Palletops, Chef, & Vagrant
- Monitor the health of your code w/ Nagios, Munin, & Graphite
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
There has been a recent explosion in tools that allow you to redefine the delivery of infrastructure and applications, using a combination of automation and testing to deliver continuous deployment. This book shows you how to use some of the newest and most exciting tools to revolutionize the way you deliver applications and software. By tackling real-world issues, you’ll be guided through a huge variety of tools.
- Access 334 pages of content 24/7
- Manage, use, & work w/ code in the Git version management system
- Create hosts automatically using a simple combination of TFTP, DHCP, & pre-seeds
- Implement virtual hosts using the ubiquitous VMware ESXi hypervisor
- Control configuration using Ansible
- Develop powerful, consistent, & portable containers using Docker
- Track trends, discover data, & monitor key systems using InfluxDB, syslog, & Sensu
- Deal efficiently w/ powerful cloud infrastructures using AWS Infrastructure & the Heroku Platform as services
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Machine learning is transforming the way businesses operate, and being able to understand trends and patterns in complex data is becoming critical for success. Python can help you deliver key insights into your data by running unique algorithms and statistical models. Covering a wide range of powerful Python libraries, this book will get you up to speed with machine learning.
- Access 454 pages of content 24/7
- Find out how different machine learning techniques can be used to answer different data analysis questions
- Learn how to build neural networks using Python libraries & tools such as Keras & Theano
- Write clean & elegant Python code to optimize the strength of machine learning algorithms
- Discover how to embed your machine learning model in a web application
- Predict continuous target outcomes using regression analysis
- Uncover hidden patterns & structures in data w/ clustering
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for data scientists. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide will help you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science.
- Access 294 pages of content 24/7
- Manage data & perform linear algebra in Python
- Derive inferences from the analysis by performing inferential statistics
- Solve data science problems in Python
- Create high-end visualizations using Python
- Evaluate & apply the linear regression technique to estimate the relationships among variables
- Build recommendation engines w/ the various collaborative filtering algorithms
- Apply ensemble methods to improve your predictions
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Data analysis is more important in business than ever and data scientists are getting paid the big bucks to help companies make better informed decisions. This book explains basic data algorithms using hands-on machine learning techniques. You’ll perform data-driven innovation processing for several types of data such as text, images, social network graphs, documents, and more.
- Access 338 pages of content 24/7
- Acquire, format, & visualize your data
- Build an image-similarity search engine
- Generate meaningful visualizations that anyone can understand
- Get started w/ analyzing social network graphs
- Find out how to implement sentiment text analysis
- Install data analysis tools such as Pandas, MongoDB, & Apache Spark
- Implement machine learning algorithms such as classification or forecasting
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
KEY FEATURES
Every business wants to gain insights from data to make more informed decisions. Data mining provides a way of finding these insights, and Python is one of the most popular languages with which to perform it. In this course, you will discover the key concepts of data mining and learn how to apply different techniques to gain insight to real-world data. By course’s end, you’ll have a valuable skill that companies are clamoring to hire for.
- Access 21 lectures & 2 hours of content 24/7
- Discover data mining techniques & the Python libraries used for data mining
- Tackle notorious data mining problems to get a concrete understanding of these techniques
- Understand the process of cleaning data & the steps involved in filtering out noise
- Build an intelligent application that makes predictions from data
- Learn about classification & regression techniques like logistic regression, k-NN classifier, & mroe
- Predict house prices & the number of TV show viewers
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.
KEY FEATURES
Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you’ll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects.
- Access 26 lectures & 3 hours of content 24/7
- Work on six independent projects to help you master machine learning in Python
- Cover concepts such as classification, regression, clustering, & more
- Apply various machine learning algorithms
- Master Python’s packages & libraries to facilitate computation
- Implement your own machine learning models
PRODUCT SPECS
Details & Requirements
- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels
Compatibility
- Internet required
THE EXPERT
Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.
Machine Learning and Data Science eBook and Course Bundle for $34
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read moreBig Data Power Tools Bundle for $36
Big Data Power Tools Bundle for $36 DO YOU LIKE WHAT YOU’VE READ?Join our subscription list and receive our content right in your mailbox. If you like to receive some Great deals our Freebies then subscribe now! Name Email
read moreComplete Data Science Certification Training Bundle for $49
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read moreThe Ultimate Data Infrastructure Architect Bundle for $36
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read morePay What You Want: The Big Data Encyclopedia Bundle for $1
deals,entrepreneur,design,business,website DO YOU LIKE WHAT YOU’VE READ?Join our subscription list and receive our content right in your mailbox. If you like to receive some Great deals our Freebies then subscribe now! Name Email
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