Big data and Hadoop development
- Understand Hadoop 2.x Architecture
- Learn to setup Hadoop Cluster and write Complex MapReduce programs
- Learn the data loading techniques using Sqoop and Flume
- Perform Data Analytics using Pig, Hive and YARN
Overview
Course Outline
Key Features
Course Objectives
Overview
Big Data Hadoop training provides in-depth knowledge on Hadoop Ecosystem tools and Big Data. Here you learn HDFS, MapReduce, Hbase, Hive, Pig, Oozie, Flume and Sqoop by working on real-world Big Data Hadoop Projects. Considering this increasing gap in the demand and supply with help of this Big Data Engineering training, IT/ ITES professionals can bag lucrative opportunities and boost their career by gaining sought skills after completing this Big Data Engineering course.
Course outline
- Broad Overview: Data Deluge to Clouds
- Clouds Grids and HPC
- Cloud applications
- Analytics and Parallel Computing on Clouds and HPC
- Data (Analytics) Architectures
- Data Science and Data Analytics
- Hadoop
- Hadoop in Detail
- Map Reduce
- Cassandra, MongoDB, Neo4j
- Clustered File System
Key Features
- 32 hours Instructor led Online Training
- Soft copy of Training Material
- Course Completion Certificate
- 45 CCR PDU Certificate
- Flexibility to choose classes
- Real times Case studies with examples
- Learn with Apache Pig, Hive, Sqoop, Flume and Oozie frameworks
- Course delivered by World-class Trainers
- Post training support
- 100% Money Back Guarantee
- 10% discount on any other Course
Course Objectives
- Master the concepts of HDFS and MapReduce framework
