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Data Warehouse Academy 

onDemand eLearning | Data Quality | Self-Paced

Data Warehouse Academy 

Course Overview

Data Warehouse Academy is a series that introduces students to processes and technology optimization needed and the required data preparation skills of modern data architecture. Included in the series is an overview on JSON, HParser, Foundation, Parallel Testing, Aggregate Tables, Complex Files and Weblogs.

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Objectives

After successfully completing this course, students should be able to:

  • Describe modern data architecture
  • Prepare data in the required method
  • Review concepts such as JSON, HParser, parallel testing, complex files, etc.


Agenda

Module 1: Introduction

  • Review how to use HADOOP to optimize Data Warehouse
  • People optimization
  • Process optimization
  • Technology – How to apply Hadoop
  • Use Case: Changed Data
  • JSON files, XML Files, Etc. 
  • HParser Overview
  • Parallel Testing Environment

Module 2: Modern Architecture

  • Aggregate Tables – Materialized Views and common queries
  • Complex or Hierarchical Files
  • Pre-Processing Weblogs

 
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onDemand eLearning | Data Quality | Self-Paced

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