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Ingesting Data and Computing for Real-time Processing


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
Real-time big data analytics with Microsoft Azure is used in numerous critical applications that require immediate analysis and action. This course covers data ingesting and designing compute resources for real-time processing.

Target Audience
Professionals who are preparing to take the 70-475: Designing and Implementing Big Data Analytics Solutions certification exam, and who are experienced in designing, programming, implementing, automating, and monitoring Microsoft Azure cloud platform solutions. Exam candidates should also be adept at using development tools, techniques, and design methodologies associated with the implementations of cloud-based big data analytics solutions.

Prerequisites
None

Expected Duration (hours)
1.5

Lesson Objectives

Ingesting Data and Computing for Real-time Processing

  • start the course
  • identify some common use cases for real-time analytics
  • recognize the Apache NiFi capabilities for real-time big data analytics
  • identify the Apache NiFi architecture and performance characteristics
  • list key features of Apache NiFi
  • recognize how Azure Event Hubs capabilities are used for real-time big data analytics
  • list key features of Azure Event Hubs
  • create an Event Hub using the Azure portal
  • send messages to Azure Event Hubs in .NET Standard
  • receive messages with the event processor host in .NET Standard
  • receive events from Event Hubs using Apache Storm
  • enable Event Hubs capture using the Azure portal
  • recognize aspects of row key design in HBase
  • recognize various data partitioning schemes
  • design partitions for scalability, query performance, and availability
  • describe fundamental architectural concepts of enterprise analytics
  • recognize key components for real-time event processing
  • create Linux-based clusters in HDInsight using Azure PowerShell
  • manage Hadoop clusters in HDInsight using Azure PowerShell
  • list main phases in setting up a storm cluster
  • use data ingesting tools for real-time analytics
  • Course Number:
    df_dibd_a03_it_enus

    Expertise Level
    Intermediate