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Big Data Analysis with Scala and Spark
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Big Data Analysis with Scala and Spark

This course is part of Functional Programming in Scala Specialization.

Course Cost

Free course

Intermediate

Skill Level

26 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Functional Programming in Scala Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.6

1,00,491 Enrolled

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English

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olive-leaves-logo

4.6

1,00,491 Enrolled

olive-leaves-logo

English

What you'll learn

  • Load and manipulate large-scale data with Apache Spark

  • Optimize distributed computations for performance

  • Implement data analysis algorithms using functional programming

  • Work with structured data using Spark SQL and DataFrames

  • Handle data partitioning and avoid unnecessary shuffling

Skills you'll gain

Apache Spark
Scala Programming
Big Data Processing
Distributed Computing
Data Analysis
SQL
RDD Operations
Data Partitioning
Performance Optimization
Spark SQL

This course includes:

5.83 Hours PreRecorded video

Access on Mobile, Desktop, Tablet

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course focuses on big data analysis using Scala and Apache Spark. Students learn to manipulate distributed datasets using functional programming concepts, optimize performance through data partitioning and shuffling, and work with structured data using Spark SQL. The curriculum covers essential topics including RDDs, transformations and actions, cluster topology, and advanced features like DataFrames and Datasets, providing hands-on experience with real-world data analysis.

Getting Started + Spark Basics

Module 1 · 11 Hours to complete

Reduction Operations & Distributed Key-Value Pairs

Module 2 · 6 Hours to complete

Partitioning and Shuffling

Module 3 · 56 Minutes to complete

Structured data: SQL, Dataframes, and Datasets

Module 4 · 8 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Functional Programming in Scala Specialization

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Big Data Analysis with Scala and Spark

Intermediate

Skill Level

26 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.