Books & Videos

Table of Contents

  1. Chapter 1 Enterprise Analytics Fundamentals

    1. The Analytics Data Pipeline

    2. Data Lakes

    3. Lambda Architecture

    4. Kappa Architecture

    5. Choosing Between Lambda and Kappa

    6. The Azure Analytics Pipeline

    7. Introducing the Analytics Scenarios

    8. Example Code and Example Data Sets

    9. What You Will Need

    10. Summary

  2. Chapter 2 Getting Data into Azure

    1. Ingest Loading Layer

    2. Bulk Data Loading

    3. Stream Loading

    4. Summary

  3. Chapter 3 Storing Ingested Data in Azure

    1. File-Oriented Storage

    2. Queue-Oriented Storage

    3. Summary

  4. Chapter 4 Real-Time Processing in Azure

    1. Stream Processing

    2. Tuple-at-a-Time Processing in Azure

    3. Summary

  5. Chapter 5 Real-Time Micro-Batch Processing in Azure

    1. Micro-Batch Processing in Azure

    2. Summary

  6. Chapter 6 Batch Processing in Azure

    1. Batch Processing with MapReduce on HDInsight

    2. Batch Processing with Hive on HDInsight

    3. Batch Processing with Pig on HDInsight

    4. Batch Processing with Spark on HDInsight

    5. Batch Processing with SQL Data Warehouse

    6. Batch Processing with Data Lake Analytics

    7. Batch Processing with Azure Batch

    8. Orchestrating Batch Processing Pipelines with Azure Data Factory

    9. Summary

  7. Chapter 7 Interactive Querying in Azure

    1. Interactive Querying with Azure SQL Data Warehouse

    2. Interactive Querying with Hive and Tez

    3. Interactive Querying with Spark SQL

    4. Interactive Querying with USQL

    5. Summary

  8. Chapter 8 Hot and Cold Path Serving Layer in Azure

    1. Azure Redis Cache

    2. Document DB

    3. SQL Database

    4. SQL Data Warehouse

    5. HBase on HDInsight

    6. Azure Search

    7. Summary

  9. Chapter 9 Intelligence and Machine Learning

    1. Azure Machine Learning

    2. R Server on HDInsight

    3. SQL R Services

    4. Microsoft Cognitive Services

    5. Summary

  10. Chapter 10 Managing Metadata in Azure

    1. Managing Metadata with Azure Data Catalog

    2. Summary

  11. Chapter 11 Protecting Your Data in Azure

    1. Identity and Access Management

    2. Data Protection

    3. Auditing

    4. Summary

  12. Chapter 12 Performing Analytics

    1. Analytics with Power BI

    2. Batch Analytics Reporting with Power BI in the Blue Yonder Scenario

    3. A Look Ahead