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The Big Data Technology Wave


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number



Overview/Description
A number of tools are available for working with Big Data. Many of the tools are open source and Linux distribution based. This course covers the fundamentals of Big Data, including positioning it in a historical IT context, the tools available for working with Big Data, the Big Data stack, and finally, an in-depth look at Apache Hadoop.

Target Audience
IT engineers, programmers, and DBAs working with or interested in Big Data, as well as business decision makers interested in implementing or managing Big Data systems

Prerequisites
None

Expected Duration (hours)
1.8

Lesson Objectives

The Big Data Technology Wave

  • start the course
  • put in Big Data into perspective of supercomputing
  • describe Big Data in context of technology waves and put it into the perspective by comparing to previous technology waves
  • list the six emerging technologies and relate them to Big Data
  • define big data and describe Gartner's Vectors
  • define structured and unstructured data in terms of Gartner's model
  • list the standard sizes used in Big Data to determine sizes of data sets
  • list the three primary key contributors to the origins of Big Data
  • list the primary Big Data distro companies
  • describe the Apache Software Foundation
  • list projects attributable to the Apache Software Foundation
  • list projects attributable to the Apache Software Foundation
  • describe Cascading and MongoDB
  • list the layers of the Big Data Stack
  • list the common Big Data components
  • describe columnar databases and Hbase
  • describe solutions for scaling computing
  • describe the design principles of Hadoop
  • map out the functional view of Hadoop
  • describe the architecture of HDFS
  • describe the architecture of Yarn
  • describe the attributes and processes of MapReduce
  • describe the architecture of Spark
  • describe Big Data in a historical context and the tools available for working with Big Data
  • Course Number:
    df_bgdt_a01_it_enus