Course Outline

Lesson 1 - SQL Basics for Government:

  • Select statements
  • Join types
  • Indexes
  • Views
  • Subqueries
  • Union
  • Creating tables
  • Loading data
  • Dumping data
  • NoSQL

Lesson 2 - Data Modeling for Government:

  • Transaction-based ER systems
  • Data warehousing
  • Data warehouse models
    • Star schema
    • Snowflake schemas
  • Slowly changing dimensions (SCD)
  • Structured and non-structured data
  • Different table type storage engines:
    • Column-based
    • Document-based
    • In-memory

Lesson 3 - Indexing in the NoSQL/Data Science World for Government:

  • Constraints (Primary)
  • Index-based scanning
  • Performance tuning

Lesson 4 - NoSQL and Non-Structured Data for Government:

  • When to use NoSQL
  • Eventually consistent data
  • Schema on read vs. Schema on write

Lesson 5 - SQL for Data Analytics for Government:

  • Windowing functions
  • Lateral joins
  • Lead & Lag

Lesson 6 - HiveQL for Government:

  • SQL support
  • External and internal tables
  • Joins
  • Partitions
  • Correlated subqueries
  • Nested queries
  • When to use Hive

Lesson 7 - Redshift for Government:

  • Design and structure
  • Locks and shared resources
  • Postgres differences
  • When to use Redshift

Requirements

  • An understanding of databases for government
  • Experience with SQL is beneficial

Audience

  • Business analysts
  • Software developers
  • Database developers
 14 Hours

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