Get in Touch

Course Outline

Lesson 1 - SQL Fundamentals: 

  • Select statements
  • Join types
  • Indexes
  • Views
  • Subqueries
  • Union
  • Table creation
  • Data loading
  • Data dumping
  • NoSQL

Lesson 2 - Data Modeling:

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

Lesson 3 - Indexing in NoSQL and Data Science

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

Lesson 4 - NoSQL and Unstructured Data

  • Scenarios for NoSQL usage
  • Eventually consistent data
  • Schema-on-read vs. Schema-on-write

Lesson 5 - SQL for Data Analytics

  • Windowing functions
  • Lateral Joins
  • Lead & Lag

Lesson 6 - HiveQL

  • SQL Support
  • External and Internal Tables
  • Joins
  • Partitions
  • Correlated subqueries
  • Nested queries
  • Use cases for Hive

Lesson 7 - Redshift

  • Design and structure
  • Locks and shared resources
  • Differences from Postgres
  • Use cases for Redshift

Requirements

  • Foundational knowledge of databases
  • Prior experience with SQL is beneficial.

Target Audience

  • Business analysts
  • Software developers
  • Database developers
 14 Hours

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories