Training- Cloudera Hadoop – 5 days
Training- Cloudera Hadoop – 5 days
Cloudera Certification Oriented Hadoop & Spark Training
Prerequisites: Basics of Java and working knowledge of Linux
(It Is mandatory to accomplish the training prerequisite conditions before nominating for the session)
Please go through the links before attending the session, this will help you to understand the concept easily.
Course Outline:
Big Data [4 hours]
- What is Big Data?
- Big Data Characteristics
- Evolution of Data Storages
- Need of Hadoop
Hadoop Generation 1 [12 hours]
- Hadoop Introduction
- History
- Architecture
- Job Process
- Installation
Map Reduce [4 hours]
- Introduction
- Programming Model
- Phases
- Examples
Apache Sqoop [4 hours]
- Introduction
- Working
- Default Import
- Sequential Import
- Selective Import
- Incremental Import
- Export
Apache Hive [4 hours]
- Introduction
- Configuration
- Basic Operations
- Create As Select
- Insert In To
- Partition
- Bucketing
- Transactions
Apace Pig [6 hours]
- Introduction
- Latin Commands
- Aggregation
- Scripts
- UDF
- XML Parsing
Apache Flume [1 hour]
- Introduction
- Configuration
- Working
Hadoop Generation 2 [4 hours]
- Limitation of Generation 1
- Introduction to Generation 2
- YARN
- Federation
- High Availability
Apache Spark [8 hours]
- Introduction
- RDD Introduction
- RDD Operations
- Functional Programming
Spark SQL [4 hours]
- Introduction
- Data Frames and SQL Context
- CRUD
- Aggregation
- Joins
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