Big Data Hadoop and Spark Basics

Course Feature

Cost

Free
Provider

Edx
Certificate

Paid Certification
Language

English
Start Date

13th Sep, 2021
Learners

No Information
Duration

3.00
Instructor

/

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3.0

96 Ratings

This course provides an introduction to Big Data, Hadoop, and Spark. It equips practitioners with the skills to analyze unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery. This enables them to identify trends and patterns, and make informed decisions.

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Course Overview

❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge to understand Big Data concepts and practices, as well as the features, benefits, and limitations of Big Data. Learners will gain practical skills in analyzing data in Spark using PySpark and Spark SQL, creating a streaming analytics application using Spark Streaming, and understanding how Resilient Distributed Datasets (RDDs) enable parallel processing across the nodes of a Spark cluster. Additionally, learners will gain an understanding of how Hadoop, Hive, and Spark can help organizations overcome Big Data challenges and reap the rewards of its acquisition.

How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with an introduction to Big Data concepts and practices. Learners will gain an understanding of the characteristics, features, benefits, and limitations of Big Data and explore some of the Big Data processing tools. They will also gain practical skills when they learn how to analyze data in Spark using PySpark and Spark SQL and how to create a streaming analytics application using Spark Streaming. Finally, they will gain an understanding of how Resilient Distributed Datasets (RDDs) enable parallel processing across the nodes of a Spark cluster. This knowledge and skill set can be applied to a variety of professional roles, allowing learners to become more competitive in the job market and advance their careers.

Is this course suitable for preparing further education?
This course provides a comprehensive introduction to Big Data concepts and practices, as well as practical skills in data analysis and streaming analytics. It is suitable for those looking to prepare for further education in the field of Big Data and related technologies.

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