BigData & Hadoop

BigData & Hadoop

The Big Data Hadoop Certification course is designed to give you in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.

You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.

As a part of the big data course, you will be required to execute real-life industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This Big Data Hadoop training course will prepare you for the Cloudera CCA175 big data certification.

For Whom

Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including :

Software Developers and Architects
Analytics Professionals
Senior IT professionals
Testing and Mainframe Professionals
Data Management Professionals
Business Intelligence Professionals
Project Managers
Aspiring Data Scientists
Graduates looking to build a career in Big Data Analytics. 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.

Benefits
The field of big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill growing job opportunities. After this training, the participants will be able to : Understand the basic concepts of Hadoop and Hadoop Distributed File System, Write Map reduce programs, Understand using Hive for data management and Pig for data analysis.

Prerequisites

• There are no prerequisites for learning this course.  However, knowledge of Core Java and SQL will be beneficial, but certainly not a mandate.

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