Duration
1 day
OVERVIEW
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.
PREREQUISITES
No previous Hadoop or programming knowledge is required. Students will need browser access to the Internet.
TARGET AUDIENCE
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.
FORMAT
100% Lecture/Instructor Discussion
COURSE OBJECTIVES
- Describe the case for Hadoop
- Identify the Hadoop Ecosystem and 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
DEMOS
- Operational Overview with Ambari
- Ingesting Data into HDFS
- Data Manipulation with Hive
- Risk Factor Analysis with Pig
- Risk Analysis with Spark
- Securing Hive with Ranger
Programme scope, delivery arrangements and suitability are confirmed during enquiry.