Big Data Analytics: Hadoop, Spark
About Course
Are looking to get Hands-on Training on Bigdata Hadoop and Spark? Work on Industry-specific Use-cases. Get expertise on HDFS, YARN, MapReduce, HBase, Hive, Pig, Oozie, Flume & SqoopDescription
Big data Training
Big Data is a rapidly changing technology space. Techniques such as MapReduce, which were widely used few years back is now not prevalent. We focus on current technologies that are used in big data projects today. We don’t spend time teaching outdated technologies like Java MapReduce and Pig. We focus on Spark, the primary tool used by industry today to solve BigData problems.
Our course gives an outlook towards the various techniques facilitating data analytics on huge datasets. Learners will assess the application of these technologies that provide scalable systems for storing and processing huge amounts of data. This Big Data Hadoop and Spark course help the student understand what Big Data is and how Hadoop solves Big Data problems. Due importance is given to the Hadoop Ecosystem, Hadoop Architecture, HDFS, and the working of MapReduce. This Big Data Hadoop and Spark course will make the aspirant familiar with the installation of Hadoop and Hadoop Ecosystem employed to store and process Big Data. The merits of a distributed batch processing using HDFS are also explained as a part of the course. Students will be comfortable using Apache Pig, Hive, and MapReduce.
Topics for this course
Understanding Big Data and Hadoop
About Big Data
Limitations and Solutions of existing
Data Analytics Architecture
Hadoop
Hadoop Features
Hadoop Ecosystem
Hadoop 2.x core components
Hadoop Storage: HDFS
Hadoop Processing: MapReduce
Framework
Hadoop Different Distributions
Hadoop Architecture and HDFS
Hadoop MapReduce Framework
Advanced MapReduce
Pig
Hive
Advanced Hive and HBase
Advanced HBase
Processing Distributed Data with Apache Spark
Oozie and Hadoop Project
Material Includes
- Study Material
- Training Recorded Video
- Assignments
- Certificate of Completion
Requirements
- Core i3, i5, or i7 with Minimum 8GB Ram
Tags
Target Audience
- Graduates looking to build a career in Big Data Field
- Software Developers, Project Managers
- Software Architects
- ETL and Data Warehousing Professionals
- Data Engineers
- Data Analysts & Business Intelligence Professionals
- DBAs and DB professionals
- Senior IT Professionals
- Mainframe professionals