Data Engineering on Microsoft Azure HDInsight

This Book offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to successfully administer and provision HDInsight clusters, and implement effective Big Data processing solutions with HDInsight. Coverage includes:

Deploy and configure HDInsight clusters, deploy and secure multi-user HDInsight clusters, ingest data for processing, and manage and debug HDInsight jobs

Implement Big Data batch solutions with Hive and Apache Pig, design batch ETL solutions with Spark, and operationalize Hadoop and Spark

Create and implement interactive queries with Spark SQL and Interactive Hive; perform exploratory analyses with Spark SQL and Hive, Jupyter, and Apache Zeppelin; perform interactive processing with Apache Phoenix on HBase

Implement real-time processing: create Spark streaming applications (including structured streaming); leverage Apache Storm, Kafka, and HBase