HDP Overview: Apache Hadoop Essentials Training

Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators or developers who want to understand the fundamentals of Big Data and the Hadoop ecosystem.

• At the completion of the course students will be able to:
• Describe the case for Hadoop
• Identify the Hadoop Ecosystem architecture
• Data Management - HDFS, YARN
• Data Access - Pig, Hive, HBase, Storm, Solr, Spark
• Data Governance & Integration - Falcon, Flume, Sqoop, Kafka, Atlas
• Security - Kerberos, Falcon, Knox
• Operations - Ambari, Zookeeper, Oozie, Cloudbreak
• Observe popular data transformation and processing engines in action: Apache
• Hive , Apache Pig, Apache Spark
• Detail the architecture and features of YARN
• Describe backup and recovery options
• Describe how to secure Hadoop
• Explain the fundamentals of parallel processing
• Describe data ingestion options and frameworks for batch and real-time streaming
• Detail the HDFS architecture

• Operational overview with Ambari
• Loading data into HDFS
• Data manipulation with Hive
• Risk Analysis with Pig
• Risk Analysis with Spark and Zeppelin
• Securing Hive with Ranger