Hadoop and Spark Fundamentals: Unit 2

$49
ENROLL NOWCourse Overview
What You'll Learn
- You will learn the basics of Hadoop MapReduce, including how it works, how to compile and run Java MapReduce programs, and how to debug and extend them using other languages.
- By the end of the course, you will have practical skills to work with big data in various environments.
This course introduces the fundamentals of modern data processing for data engineers, analysts, and IT professionals. You will learn the basics of Hadoop MapReduce, including how it works, how to compile and run Java MapReduce programs, and how to debug and extend them using other languages. The course includes practical exercises such as word counts across multiple files, log file analysis, and large-scale text processing with datasets like Wikipedia. You will also cover advanced MapReduce features and use tools like Yarn and the Job Browser. The course then covers higher-level tools such as Apache Pig and Hive QL for managing data workflows and running SQL-like queries. Finally, you will work with Apache Spark and PySpark to gain experience with modern data analytics platforms. By the end of the course, you will have practical skills to work with big data in various environments.
Course FAQs
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To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Hadoop and Spark Fundamentals: Unit 2' on the Pearson online class platform, where you can complete your registration.




