[LIVE WEBINAR] on Bigdata with Hadoop & Spark Bigdata with Hadoop & Spark Live 
Webinar Upgraded>> Introduction Big Data and Hadoop + Spark Certification 
course is designed to prepare you for your next assignment in the world of Big 
Data. Hadoop is the market leader among Big Data Technologies and it is an 
important skill for every professional in this field. With our online Hadoop 
training, you’ll learn how the components of the Hadoop ecosystem, such as 
Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, 
etc.  To ensure you get a seamless real-world project experience we have 
CloudLabs-a cloud-based Hadoop environment. After completing this training you 
will be in a strong position to embark on your next big data project. Why Learn 
Bigdata Hadoop? Big Data & Hadoop Market is expected to reach $99.31B by 2022 
growing at a CAGR of 42.1% from 2015 - Forbes McKinsey predicts that by 2018 
there will be a shortage of 1.5M data experts - Mckinsey Report Avg salary of 
Big Data Hadoop Developers is $143k ~ Source Download course contents here Who 
should go for this course? Developers and Architects BI /ETL/DW professionals 
Senior IT Professionals Testing professionals Mainframe professionals Freshers 
Here are the few Professional IT groups, who are continuously enjoying the 
benefits moving into Big data domain Objectives 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 After 
completing this training you will be in a strong position to embark on your 
next big data project. **Join us for Live Demo Session** Tuesday, May 29 | 6:00 
pm – 7:00 pm PT | 9:00 pm - 10:00 pm ET Register Now >> Contact us Manas   
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