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Data Warehousing (DW) – Advanced SQL Queries and Performance
Datawarehousing Training Overview

PLATFORM: Multi-platform: DB2 UDB for z/OS & OS/390, DB2 UDB for Linux/UNIX/Windows, Oracle and SQL Server.

After briefly reviewing DW and BI terms and concepts, the lecturer will develop an understanding of how to use the statistics, analytic and OLAP features in a BI environment. The main features of this presentation are examples, intensive handson exercises, best practices and performance considerations.


Datawarehousing Training Audience

Data warehouse and BI developers, data warehouse architects and DBAs.

Datawarehousing Training Prerequisites

Completion of our ‘Data Warehousing Terms, Concepts & Architecture’ (DWHTCA) course or equivalent knowledge.

Datawarehousing Training Course duration

2 Days

Datawarehousing Training Objectives

Upon completion of this presentation, the participant should be able to code efficient SQL queries to meet both single and multidimensional business requirements.

Datawarehousing Training Course outline

1. SUMMARY – DATA WAREHOUSE (DW) TERMS & CONCEPTS
  • Rationale and beneficiaries
  • DW architecture (including BI considerations)
  • Data warehouse vs. data mart
  • Metadata
  • Normalization vs. denormalization
  • Integrity constraints
  • Schema types
  • DW objects (logical vs. physical)
  • Hardware considerations
  • Partitioning and parallelism options
  • Indexes
  • Summary tables
  • Extract, Transform, Load (ETL)
2. STATISTICS & ANALYTIC QUERY OPTIONS
  • Rationale
  • AVG
  • CORRELATION
  • COUNT/COUNT_BIG
  • COVARIANCE
  • MAX
  • MIN
  • RAND
  • STDDEV
  • SUM
  • VARIANCE
  • Workshop
3. ONLINE ANALYTICAL PROCESSING (OLAP) QUERY OPTIONS
  • Rationale
  • RANK
  • DENSE_RANK
  • ROW_NUMBER
  • PARTITION BY
  • ORDER BY
  • ROWS
  • RANGE
  • GROUP BY
  • GROUPING
  • ROLLUP
  • CUBE
  • OVER
  • Workshop
4. COMMON BUSINESS SCENARIOS
  • Retail
  • Finance
  • Sports
  • Advertising
  • Office supplies

 
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