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 Duration 14 hours

Course Outline

Lesson 1 - Fundamentals of SQL:

  • Select statements
  • Types of joins
  • Indexes
  • Views
  • Subqueries
  • Union operations
  • Table creation
  • Data loading
  • Data dumping
  • NoSQL concepts

Lesson 2 - Data Modeling:

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

Lesson 3 - Indexing in the NoSQL and Data Science Context

  • Primary constraints
  • Index-based scanning techniques
  • Performance tuning

Lesson 4 - NoSQL and Unstructured Data

  • Scenarios for using NoSQL
  • Eventually consistent data
  • Schema-on-read versus Schema-on-write

Lesson 5 - SQL for Data Analytics

  • Windowing functions
  • Lateral joins
  • Lead and Lag functions

Lesson 6 - HiveQL

  • SQL support features
  • External and internal tables
  • Join operations
  • 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

  • A foundational understanding of databases.
  • Prior experience with SQL is advantageous.

Target Audience

  • Business analysts
  • Software developers
  • Database developers

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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