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BIG DATA FUNDAMENTALS

This course is a survey of big data – the landscape, the technology behind it, business drivers, and strategic possibilities. “Big data” is a hot buzzword, but most organizations struggle to put it to practical use. Without assuming any prior knowledge of Apache Hadoop or big data management, this course teaches you how to use and manage the benefits of big data. 
 

WHAT YOU’LL LEARN

On this course you will learn how to:
  • Navigate the technology stacks and tools used to work with big data
  • Establish a common vocabulary on your teams for applying big data practices
  • Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME
  • Design both functional and non-functional requirements for working with big data
  • Understand common business cases for big data
  • Differentiate between hype and what’s truly possible
  • Look at examples of real-world big data use cases
  • Select initiatives and projects that have high potential to benefit from big data applications
  • Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data

MORE ABOUT THIS COURSE

The course outline is as follows:
  • Introduction to big data
  • Sources eg Hadoop – the free platform for working with big data
  • The concepts
  • The basics
  • Introduction to HDFS
  • MapReduce – the core big data function
  • YARN
  • PIG
  • Processing Data
  • HIVE
  • OOZIE
  • FLUME – stream, collect, store and analyze high-volume log data
  • SPARK
  • HBASE
  • Using External Tools

WHAT THE TUTOR SAYS

“This course is aimed at software developers, machine learning engineers, data scientists, business intelligence developers, research scientists, data engineers, programmers and project managers.”
 

WHAT YOU’LL NEED BEFORE STARTING THIS COURSE

There are no prerequisites for this course.
 

"Companies that partner with elev8 understand having an engaged and talented workforce is crucial to their success. They recognise that everyone is not the same, but each person has skills that can be enhanced to deliver better results. "

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