Explain the fundamentals of Apache Hadoop, Data ETL (extract, transform, load), data processing using Hadoop tools
Performing data analysis and processing complex data using Pig
Perform data management and text processing using Hive
Extending, troubleshooting, and optimizing Pig and Hive performance
Analyze data with Impala
Comparative study of MapReduce, Pig, Hive, Impala, and Relational Databases
Requirements
The candidates with working experience with SQL or basic LINUX commands are ideal for this training.
Description
|| About Hadoop Data Analytics Training Course
Hadoop Data Analytics online training course explains how to apply data analytics and business intelligence skills to Big Data. This Big Data Analytics training lays emphasis on the usage of Apache Pig, Hive, and Cloudera Impala. It will drive you through the process of developing distributed processing of large data sets across clusters of computers and administering Hadoop.The participants will learn how to handle heterogeneous data coming from different sources. This data may be structured, unstructured, communication records, log files, audio files, pictures, and videos. Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.
This course will enable an Analyst to work on Big Data and Hadoop which takes into consideration the burgeoning demands of the industry to process and analyze data at high speeds. This training course will give you the right skills to deploy various tools and techniques to be a Hadoop Analyst working with Big Data. This Hadoop Analyst training will help you be fully proficient in becoming a master Data Analyst in order to collect, analyze and transform huge volumes of data on the Hadoop cluster setup by deploying powerful tools like SQL and other scripting languages.
