SQL Big Data Convergence – The Big Picture
Level: Intermediate | Duration: 1h 21m | Released: 2013 | Authored by: Andrew Brust | 123 MB
An investigation into the convergence of relational SQL database technologies from several vendors and Big Data technologies like Apache Hadoop.
This course explains what Big Data, Hadoop and Massively Parallel Processing (MPP) data warehouse technologies are, and how the latter two are converging technologically.
Products from Hadapt, Teradata, ParAccel, Microsoft and Cloudera — all of which integrate with Apache Hadoop — are investigated.
Introduction
Introduction
Concepts and Background
What are Big Data and Hadoop?
What is Hive?
What is MapReduce?
What are Data Warehousing and MPP?
Convergence/Hybridization of Hadoop and MPP
Introduction, MapReduce vs. MPP
Facets of Convergence
Vendors and Their Approaches
Introduction, Apache Hive
Apache Hive Demo
Cloudera Impala
Cloudera Impala Demo
Hadapt, RainStor and Teradata
ParAccel, Microsoft and Apache Sqoop
Benefits to You
Introduction, Customer Benefits
Convergence and Big Data Initiatives
Strategy: What Should You Do?
Introduction, Purity vs. Pragmatism
The Waiting Game
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