Ingesting Data and Computing for Real-time Processing

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

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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