This is a 8 hours instructor lead crash 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 foundational basics and whole
stack overview.
Bigdata & Hadoop Overview Crash course
Bigdata & Hadoop Overview Crash course
₹22,000.00
Course Overview
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.
Prerequisites
No previous Hadoop or programming knowledge is required. Students will need browser access to the
Internet.
Course Agenda
- Bigdata use case
- HDFS overview
- HDFS Architecture
- HDFS Features
- YARN overview
- YARN Architecture
- Yarn Features
- Describe Data Management services
- Describe Data Access services
- Describe Data Governance & Integration
- Describe Security services
- Describe Operations services
- Ingest data using HDFS command
- Apache Sqoop overview
- Apache Flume Overview
- Apache Hive Overview
- Apache Pig Overview
- Apache Spark Overview
- Apache Hbase Overview
- Apache Ranger Overview
- Apache Knox overview
Spinning up Hadoop cluster, moving data into cluster and processing this with Hive and Pig ,
integrate with zeppelin and secure with Ranger.
Course Duration
8 hours (complete Hadoop coverage and demos)
Cost
- CAD 450 or USD 300 (includes taxes)
- The costs include the training, material and cloud based lab costs.
- Note: Please enquire with us for ongoing promotions, group and early bird prices.
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