HomeCoursesAn Introduction to Spark

4.6

Beginner

2h 50min

An Introduction to Spark

Gain insights into Spark, its architecture, application lifecycle, and APIs. Delve into data frames, datasets, and Spark SQL to effectively manage and query big data.

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Overview

Content

Reviews

Spark has come to dominate the big data processing space in a short span of time since its release and now serves as the de-facto unified big data processing engine in the industry. In this course, you will get a complete introduction to the basics of Spark. You will start by learning about the architecture, the application lifecycle, and its API. From there, you will dive into the data frame data structure and its API as well as the strongly-typed datasets API. Lastly, you’ll get into the Spark SQL engine which will allow you to issue queries on structured data with a schema. By the end of this course, you will have the confidence to use Spark in any of your big data projects.

Spark has come to dominate the big data processing space in a short span of time since its release and now serves as the de-fact...Show More

WHAT YOU'LL LEARN

Basics of Spark

Spark Architecture

Spark SQL

Spark DataFrames

Spark Datasets

Basics of Spark

Content

26 Lessons

Spark Overview

9 Lessons

Get familiar with Spark's platform, architecture, application lifecycle, APIs, and RDDs.

Introduction

Spark Differentiation

Architecture

Spark Application Lifecycle

Spark API

Anatomy of a Spark Application

Execution of a Spark Application

Resilient Distributed Datasets

Spark Application - An Example

DataFrames

5 Lessons

Grasp the fundamentals of Spark DataFrames for efficient, structured data analysis and manipulation.

DataFrames

Working with DataFrames

Columns

Rows

More Operations with DataFrames

Datasets

4 Lessons

Break apart the essentials of Spark Datasets, including creation, schema definitions, and encoder utilization.

Datasets

Working with Datasets

Datasets with Scala Case Class and Java Bean Class

Encoders

Spark SQL

7 Lessons

Grasp the fundamentals of Spark SQL, its engine, views, UDFs, and advanced functions.

Spark SQL Engine

Spark SQL - An Example

Spark SQL Views and Tables

Spark SQL Data Source

Spark User Defined Functions

Higher-Order Function

Joins, Unions, and Window Functions

Summary

1 Lessons

Take a closer look at Spark's integration in Big Data, offering foundational knowledge.

Closing Remarks

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

DataJek

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