Big Data Mastery with Hadoop Bundle for $46

Tame Massive Data Sets with 44 Hours of Extensive Hadoop Training

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Taming Big Data with MapReduce & Hadoop

KEY FEATURES

Big data is hot, and data management and analytics skills are your ticket to a fast-growing, lucrative career. This course will quickly teach you two technologies fundamental to big data: MapReduce and Hadoop. Learn and master the art of framing data analysis problems as MapReduce problems with over 10 hands-on examples. Write, analyze, and run real code along with the instructor– both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. By course’s end, you’ll have a solid grasp of data management concepts.

Learn the concepts of MapReduce to analyze big sets of data w/ 56 lectures & 5.5 hours of content
Run MapReduce jobs quickly using Python & MRJob
Translate complex analysis problems into multi-stage MapReduce jobs
Scale up to larger data sets using Amazon’s Elastic MapReduce service
Understand how Hadoop distributes MapReduce across computing clusters
Complete projects to get hands-on experience: analyze social media data, movie ratings & more
Learn about other Hadoop technologies, like Hive, Pig & 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

Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

Projects in Hadoop and Big Data: Learn by Building Apps

KEY FEATURES

Hadoop is perhaps the most important big data framework in existence, used by major data-driven companies around the globe. Hadoop and its associated technologies allow companies to manage huge amounts of data and make business decisions based on analytics surrounding that data. This course will take you from big data zero to hero, teaching you how to build Hadoop solutions that will solve real world problems – and qualify you for many high-paying jobs.

Access 43 lectures & 10 hours of content 24/7
Learn how technologies like Mapreduce apply to clustering problems
Parse a Twitter stream Python, extract keywords w/ Apache Pig, visualize data w/ NodeJS, & more
Set up a Kafka stream w/ Java code for producers & consumers
Explore real-world applications by building a relational schema for a health care data dictionary used by the US Department of Veterans Affairs
Log collections & analytics w/ the Hadoop distributed file system using Apache Flume & Apache HCatalog

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: intermediate

Compatibility

Internet required

THE EXPERT

Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.

Learn Hadoop, MapReduce and Big Data from Scratch

KEY FEATURES

Have you ever wondered how major companies, universities, and organizations manage and process all the data they’ve collected over time? Well, the answer is Big Data, and people who can work with it are in huge demand. In this course you’ll cover the MapReduce algorithm and its most popular implementation, Apache Hadoop. Throughout this comprehensive course, you’ll learn essential Big Data terminology, MapReduce concepts, advanced Hadoop development, and gain a complete understanding of the Hadoop ecosystem so you can become a big time IT professional.

Access 76 lectures & 15.5 hours of content 24/7
Learn how to setup Node Hadoop pseudo clusters
Understand & work w/ the architecture of clusters
Run multi-node clusters on Amazon’s Elastic Map Reduce (EMR)
Master distributed file systems & operations including running Hadoop on HortonWorks Sandbok & Cloudera
Use MapReduce w/ Hive & Pig
Discover data mining & filtering
Learn the differences between Hadoop Distributed File System vs. Google File System

PRODUCT SPECS

Details & Requirements

Length of time users can access this course: lifetime
Access options: web streaming
Certification of completion not included
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: beginner

Compatibility

Internet required

THE EXPERT

Website – www.eduonix.com

Introduction to Hadoop

KEY FEATURES

Hadoop is one of the most commonly used Big Data frameworks, supporting the processing of large data sets in a distributed computing environment. This tool is becoming more and more essential to big business as the world becomes more data-driven. In this introduction, you’ll cover the individual components of Hadoop in detail and get a higher level picture of how they interact with one another. It’s an excellent first step towards mastering Big Data processes.

Access 30 lectures & 5 hours of content 24/7
Install Hadoop in Standalone, Pseudo-Distributed, & Fully Distributed mode
Set up a Hadoop cluster using Linux VMs
Build a cloud Hadoop cluster on AWS w/ Cloudera Manager
Understand HDFS, MapReduce, & YARN & their interactions

PRODUCT SPECS

Details & Requirements

Length of time users can access this course: lifetime
Access options: web streaming
Certification of completion not included
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: beginner
IDE like IntelliJ or Eclipse required (free to download)

Compatibility

Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Advanced MapReduce in Hadoop

KEY FEATURES

Take your Hadoop skills to a whole new level by exploring its features for controlling and customizing MapReduce to a very granular level. Covering advanced topics like building inverted indexes for search engines, generating bigrams, combining multiple jobs, and much more, this course will push your skills towards a professional level.

Access 24 lectures & 4.5 hours of content 24/7
Cover advanced MapReduce topics like mapper, reducer, sort/merge, partitioning, & more
Use MapReduce to build an inverted index for search engines & generate bigrams from text
Chain multiple MapReduce jobs together
Write your own customized partitioner
Sort a large amount of data by sampling input files

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
IDE like IntelliJ or Eclipse required (free to download)

Compatibility

Internet required

THE EXPERT

Database Operations via Hadoop and MapReduce

KEY FEATURES

Analyzing data is an essential to making informed business decisions, and most data analysts use SQL queries to get the answers they’re looking for. In this course, you’ll learn how to map constructs in SQL to corresponding design patterns for MapReduce jobs, allowing you to understand how these two programs can be leveraged together to simplify data problems.

Access 49 lectures & 1.5 hours of content 24/7
Master the art of “thinking parallel” to break tasks into MapReduce transformations
Use Hadoop & MapReduce to implement a SQL query like operations
Work through SQL constructs such as select, where, group by, & more w/ their corresponding MapReduce jobs in 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
IDE like IntelliJ or Eclipse required (free to download)

Compatibility

Internet required

THE EXPERT

Recommendation Systems Via Hadoop And MapReduce

KEY FEATURES

You see recommendation algorithms all the time, whether you realize it or not. Whether it’s Amazon recommending a product, Facebook recommending a friend, Netflix, a new TV show, recommendation systems are a big part of internet life. This is done by collaborative filtering, something you can perform through MapReduce with data collected in Hadoop. In this course, you’ll learn how to do it.

Access 4 lectures & 1 hour of content 24/7
Master the art of “thinking parallel” to break tasks into MapReduce transformations
Use Hadoop & MapReduce to implement a recommendations algorithm
Recommend friends on a social networking site using a MapReduce collaborative filtering algorithm

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
IDE like IntelliJ or Eclipse required (free to download)

Compatibility

Internet required

THE EXPERT

K-Means Clustering via Hadoop And MapReduce

KEY FEATURES

Data, especially in enterprise, will often expand at a rapid scale. Hadoop excels at compiling and organizing this data, however, to do anything meaningful with it, you may need to run machine learning algorithms to decipher patterns. In this course, you’ll learn one such algorithm, the K-Means clustering algorithm, and how to use MapReduce to implement it in Hadoop.

Access 7 lectures & 1.5 hours of content 24/7
Master the art of “thinking parallel” to break tasks into MapReduce transformations
Use Hadoop & MapReduce to implement the K-Means clustering algorithm
Convert algorithms into MapReduce patterns

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
IDE like IntelliJ or Eclipse required (free to download)

Compatibility

Internet required

THE EXPERT

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