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SQL Big Data Convergence - The Big Picture

Course Summary

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 int


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    Course Syllabus

    ● 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

     


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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