Rating 4.2 out of 5 (40 ratings in Udemy)
What you'll learn- 1. The fundamentals concepts of Big Data and Hadoop
- 2. What is Apache PIG and its Use Cases
- 3. How to set up PIG in Local and MapReduce mode
- 4. What is PIG Latin Language
- 5. Working and implementation of PIG Latin Statements
- 6. How to create a directory and different ways of inserting the Data
- 7. PIG Latin operators and the supported data types
- 8. Concepts of PIG Streaming
- 9. How to write and execute PIG Scripts
- 10.Built-in …
Rating 4.2 out of 5 (40 ratings in Udemy)
What you'll learn- 1. The fundamentals concepts of Big Data and Hadoop
- 2. What is Apache PIG and its Use Cases
- 3. How to set up PIG in Local and MapReduce mode
- 4. What is PIG Latin Language
- 5. Working and implementation of PIG Latin Statements
- 6. How to create a directory and different ways of inserting the Data
- 7. PIG Latin operators and the supported data types
- 8. Concepts of PIG Streaming
- 9. How to write and execute PIG Scripts
- 10.Built-in Functions and User Defined Functions
- 11.The structuring of PIG scripts and how they are executed
- 12.How to write PIG Macros and perform Parameter substitution
- 13.The use of PIG's Shell and Utility Commands to run your programs
- 14.How to compress files(input/output/intermediate results)
- 15.Testing and Diagnostics tools to examine and/or debug your programs
DescriptionIn this Apache Pig course, you will learn about Pig platform and how to use it to process a large volume of data sets in a parallel way. This includes an overview of Big Data and Hadoop, what data looks like before, during and after a dataflow, what data is supported, and the different forms it can take; how Pig can transform data, and advanced topics on debugging flows, flow optimization and some enterprise-level features of Apache Pig. This course on Apache Pig shows how Pig platform provides an abstraction over the MapReduce model to make the programming easier.
