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        • Introduction To Data Management
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          • Introduction
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          • Motivation
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          • Introduction to Data Modeling
          • ETL
          • Fact Tables
          • Schema Types
          • Dimension Types
            • Conformed Dimension
            • Degenerated Dimension
            • Junk Dimension
            • Role Playing
            • Outrigger Dimension
            • Snowflake Dimension
            • Slowly Changing Dimension
            • Fast Changing Dimension
            • Shrunken Changing Dimension
            • Multi Valued Dimension
            • Swappable Dimension
            • Heterogeneous Dimension
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      • Introduction To Distributed Systems
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  • Apache Spark
    • Course Introduction
    • Python Vs. Scala
    • Introduction
    • About Databricks
    • Spark In The Data Platforms
    • Running Spark
    • Demo: Running Spark on Linux Ubuntu
    • Demo: Running Spark on MacOS
    • Demo: Running Spark on Windows
    • Demo Running Spark On Databricks
    • From Map Reduce To Spark
    • Spark Characteristics
    • Spark Applications
    • Spark Driver
    • Spark Session
    • Spark Cluster Manager
    • Spark Execution Mode
    • Spark Executors
    • Spark Data Partitioning
    • Spark Operations
    • Transformations Narrow Vs Wide
    • Demo: Immutability In Spark
    • Demo: RDD Text Manipulation
    • Demo: GroupByKey Vs. ReduceByKey
    • Demo: Joining RDDs
    • Demo: RDD Operations Part 1
    • Demo: Repartition Vs. Coalesce
  • Data Modeling
    • Introduction to Data Modeling
    • Fact Tables
    • Schema Types
    • Surrogate vs Natural Keys
    • Partitioning vs Bucketing
    • Kimball vs Inmon
    • Dimension Types
      • Conformed Dimension
      • Degenerated Dimension
      • Junk Dimension
      • Role Playing
      • Outrigger Dimension
      • Snowflake Dimension
      • Slowly Changing Dimension
      • Fast Changing Dimension
      • Shrunken Changing Dimension
      • Multi Valued Dimension
      • Swappable Dimension
      • Heterogeneous Dimension
  • Containerization
    • Short-lived containers
    • Long-lived containers
    • More than 1 container app
  • Big Data Engineering in Depth
    • Course Introduction
      • Introduction
      • Max Benefit
      • Assignments, Labs, & Textbooks
      • Course Content Overview
    • Data Warehouse
      • Introduction To Data Management
      • Data Abstraction
        • Introduction
        • Physical Layer
        • Logical Layer
        • View Layer
        • Data Solution Thinking
      • Data Warehouse Components
        • Motivation
        • DWH VS Transactional DB
        • Business Types
        • Use cases
        • Multi-temperature Storage
        • Characteristics & Components
        • Source System Integration Process
        • Source System Extraction
        • Staging Layer
        • Data Modeling
        • Introduction to Data Modeling
        • ETL
        • Fact Tables
        • Schema Types
        • Dimension Types
          • Conformed Dimension
          • Degenerated Dimension
          • Junk Dimension
          • Role Playing
          • Outrigger Dimension
          • Snowflake Dimension
          • Slowly Changing Dimension
          • Fast Changing Dimension
          • Shrunken Changing Dimension
          • Multi Valued Dimension
          • Swappable Dimension
          • Heterogeneous Dimension
  • Hadoop and Distributed Systems
    • Introduction To Distributed Systems
    • Hadoop
    • HDFS
    • YARN
    • Map Reduce
    • Hive
  • Still need help?
  • Join Discord ↗

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  • Data Abstraction
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  • Data Warehouse Components
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Courses
Big Data Engineering in Depth
Course Introduction

Course Introduction

Topics

  1. Course Introduction and Target
  2. Getting Max Benefit From This Course
  3. Assignments, Labs, & Textbooks
  4. Course Content Overview

Other Chapters

Overview | Ch.02: Data Warehouse

Last updated on Jan 7, 2020

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