Building Open Source Software (OSS) Analytics Solutions with Azure HDInsight

At the end of this module, you will understand:

• What HDInsight is
• How HDInsight works
• When to use HDInsight

At the end of this module, you will understand:

• The correct HDInsight configuration options
• Decision criteria for selecting the correct HDInsight configuration option
• Analyze a scenario and map it to an HDInsight configuration option
• Cost Optimization strategies for HDInsight clusters

In this module you will:

• Create an HDInsight Spark Cluster
• Execute queries on an HDInsight Spark Cluster
• Monitor an HDInsight Spark Cluster
• Learn how to fix common provisioning issues

• Introduction
• Use HDInsight HBase clusters
• Describe HBase Architecture Patterns
• Exercise - Provisioning a HDInsight HBase cluster
• Exercise – Run benchmarks in HBase
• Understand HBase Best Practices
• Summary
• Knowledge Check

At the end of this module you will understand:

• When to use Apache Spark and Kafka with HDInsight
• How Spark Structured Streaming works
• The architecture of a Kafka and Spark solution
• How to provision HDInsight, create a Kafka producer, and stream Kafka data to a Jupyter notebook
• How to replicate data to a secondary cluster

In this module you will learn the following:

• Appropriate scenarios to deploy HDInsight Interactive Query clusters
• Learn about architectural patterns
• Deploy a cluster for your real-estate app and query the data
• Learn how to integrate Apache Spark and Hive LLAP queries using the Hive Warehouse Connector
• Create a large-scale interactive query dashboard to evaluate real estate values and locations

1. Introduction
2. Describe HDInsight security areas
3. Implement Network Security
4. Understand Operating system security
5. Manage Application/ Middleware security
6. Implement Data Access security
7. Knowledge Check
8. Summary