Big Data Analyst offers a wide range of scope for the job seekers, data analytics is considered as a backbone of the company, thus, the employees handling the related department should have working knowledge on SQL or basic LINUX commands, the database, SQL, and query language for databases. The Big Data Analyst Training insights on installing, updating and maintaining MongoDB environment. Make them understand Data Volume, Data Evolution, Velocity of Data, MapReduce and the procedure of developing distributed processing of large data sets across clusters of computers and administering Hadoop.
After completing the Big Data Analyst Certification, the candidates would be able to:
- Perform data management and text processing using Hive
- Understand the comparative study of MapReduce, Pig, Hive, Impala, and Relational Databases
- Develop expertise on the basic concepts of Apache Storm and its architecture.
- Demonstrate what is Grouping & Data Insertion in Apache Storm?
- How to develop the skill sets that help in processing a huge amount of data by using MongoDB tools?
- Develop an understanding on Resilient Distributed Dataset and DataFrames
Target audience
- Analytics professionals
- Data Scientists
- IT developers and testers
- Project Managers
- Research professionals
- The software developers, who indulge in processing large amounts of data
Prerequisites
The candidates should have working knowledge of SQL or basic LINUX commands, database and SQL.