Description
| Introduction of Apache Pig with Data Analysis:
Pig Represents Big Data as data flows. Pig is a high-level platform or tool which is used to process the large datasets. It provides a high-level of abstraction for processing over the MapReduce. It provides a high-level scripting language, known as Pig Latin which is used to develop the data analysis codes. First, to process the data which is stored in the HDFS, the programmers will write the scripts using the Pig Latin Language. Internally Pig Engine(a component of Apache Pig) converted all these scripts into a specific map and reduce task. But these are not visible to the programmers in order to provide a high-level of abstraction. Pig Latin and Pig Engine are the two main components of the Apache Pig tool. The result of Pig always stored in the HDFS. |
1: INTRODUCTION1.1 Apache Pig – Overview 1.2 Apache Pig – Architecture 2: ENVIRONMENT2.1 Apache Pig – Installation 2.2 Apache Pig – Execution 2.3 Grunt Shell 3: PIG LATIN3.1 Pig Latin – Basics 4: LOAD AND STORE OPERATORS4.1 Apache Pig – Reading Data 5: DIAGNOSTIC OPERATORS5.1 Diagnostic Operators 6: GROUPING AND JOINING6.1 Group Operator 7: COMBINING AND SPLITTING7.1 Union Operator 8: FILTERING8.1 Filter Operator 9: SORTING9.1 Order By 10: PIG LATIN BUILT-IN FUNCTIONS10.1 Eval Functions 10.2 String Functions 10.3 Date-Time Functions 10.4 Math Functions 11: OTHER MODES OF EXECUTION11.1 User-Defined Functions To conclude; This course provides a comprehensive understanding of Apache Pig, equipping you with essential skills for processing and analyzing large data sets. By mastering Pig Latin and its operators, you will enhance your ability to work with big data efficiently and effectively. If you are looking for customized info, Please contact us here
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