MAPREDUCE - Big Data with Hands-on MapReduce

Master concepts and applications of MapReduce in Big Data
4.05 (19 reviews)
Udemy
platform
English
language
Data & Analytics
category
MAPREDUCE - Big Data with Hands-on MapReduce
14β€―281
students
3 hours
content
Jul 2023
last update
$19.99
regular price

Why take this course?

🌟 Course Title: MAPREDUCE - Big Data with Hands-on MapReduce

πŸš€ Course Headline: Master concepts and applications of MapReduce in Big Data!


Course Description:

Dive into the world of big datasets with our comprehensive MAPREDUCE course, designed to equip you with the skills to handle and process large volumes of data efficiently using Hadoop's powerful MapReduce framework. πŸ—‚οΈπŸ’»

Overview: MapReduce is a core component of Hadoop that allows for the distributed processing of large data sets, across clusters of computers using simple programming models. It's the solution to the challenge of reliably handling tremendous amounts of data by breaking down the process into smaller tasks that can run in parallel.

What You Will Learn:

  • Conceptual Understanding: Gain a deep understanding of how MapReduce functions within the Hadoop ecosystem and its importance in processing big data.
  • Hands-On Experience: Implement real-world MapReduce programs, working closely with actual datasets to solidify your theoretical knowledge.
  • Data Processing: Learn to work with both structured and unstructured data, which is a critical skill for today's data professionals.
  • Framework Application: Discover how to use additional Hadoop submodules like PIG and HIVE to simplify complex data processing tasks.
  • Customization Techniques: Understand when and how to choose the right framework or tool for various data analysis requirements.
  • Practical Insights: Get an in-depth look at how data scientists utilize MapReduce to derive meaningful insights from large datasets.

MAPREDUCE Process Breakdown: 🌱

  • Data Division: Learn the process of dividing large datasets, like Flipkart's sales data for an entire year, into more manageable chunks (e.g., by months).
  • Mapping Phase: See how mappers distribute and process this data in parallel to identify where goods were sold within a specified location (e.g., Mumbai).
  • Reducing Phase: Follow the reducers as they collect results from the mappers and consolidate them to calculate, for example, the total sales in Mumbai for the year 2018.

Why enroll in this MapReduce course?

  • Big Data is not just a buzzword; it's an ever-expanding field with vast opportunities.
  • Skills learned in this course are high in demand across industries, from finance to healthcare and beyond.
  • By mastering MapReduce, you will be equipped to handle some of the most complex data challenges.
  • This course is your pathway to becoming a proficient data analyst or scientist with a specialization in big data technologies.

Curriculum Highlights:

  • Develop programs in HIVE and PIG alongside learning the intricacies of MapRedce and Sqoop.
  • Understand when and how to apply these frameworks for optimal results.
  • Gain expertise that will enable you to customize your data analysis according to organizational needs.

Ready to embark on your Big Data journey? Let's Make it Happen! 🌟

Enroll now and unlock the potential of big data with hands-on MapReduce experience! Your future as a data expert awaits!

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4724172
udemy ID
08/06/2022
course created date
16/06/2022
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