Businesses around the world are looking for ways to leverage data for business continuity. Apache Pig was developed to run queries on large data sets stored in HDFS and that runs on Hadoop. It’s best known for its simplistic syntax and ability to save time and so is widely used.
This training will introduce you to the world of Hadoop and MapReduce. You’ll learn through a series of practical hands-on exercises on writing complex MapReduce transformations about HDFS and writing scripts using the advanced features of Pig.
Who Should Attend This Training
- Analytics Professionals
- BI /ETL/DW Professionals
- Project Managers
- Testing Professionals
- Mainframe Professionals
- Software Developers and Architects
- Graduates aiming to build a career in Big Data and Hadoop
What You Will Learn
-
Hadoop Ecosystem
Get introduced to the world of Hadoop. Master the key concepts of Hadoop ecosystem and architecture. -
Analyse Data Sets
Analyse large sets of data in a short time by using Pig Latin scripts. Use MapReduce for data processing. -
Big Data Analytics
Discover the different advantages of Pig and learn how to leverage Pig efficiently for Big Data analytics. -
Implement Pig
Expert-led training to guide learners to efficiently implement the Pig technology for future projects. -
Data Flows with Pig
Ace key Pig configurations and understand Pig use cases to execute data flows with the Pig technology. -
Advanced Pig
Gain a complete understanding of advanced concepts like Pig Latin relational operators, Pig UDF, and more.
We provide the course in English.
