HDP Overview: Apache Hadoop Essentials Training

This course provides a technical overview of Apache Hadoop. It includes high-level information about concepts, architecture, operation, and uses of the Hortonworks Data Platform (HDP) and the Hadoop ecosystem. The course provides an optional primer for those who plan to attend a hands-on, instructor-led course.

This course is offered in both Live Instructor-Led format, or get started now with our FREE self-paced Apache Hadoop Essentials course.

No previous Hadoop or programming knowledge is required.Students will need browser access to the Internet.

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

Upcoming Trainings

Join our public courses in our Istanbul, London and Ankara facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

21 March 2022