Gain insights into Spark Java API, learn about data transformations and SQL operations, and discover how to integrate big data and Java for scalable, high-speed processing.

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DataFrameBasicsRun

SparkDataframeExampleDB

This course serves as a comprehensive introduction to the Spark Java API. Experienced Java developers will use object-oriented programming (OOP) principles to apply theory to Apache Spark and big data practice.

You’ll learn the basic components and architecture of Spark, a leading framework for building big data applications, before implementing them in Java. You’ll also explore data transformations like grouping, sorting, and joining. Further, you’ll learn to support SQL operations in the database and create a big data and batch template application with Java.

By the end of the course, you’ll be familiar with Apache Spark and know how to integrate big data with Java environments through the Spark Java API. You’ll wrap up by learning about monitoring and support functions for a live Spark Java environment.

Combining a leading big data framework with a leading programming language, this course will empower you to work efficiently with large volumes of data, and process at scale and speed.

Mastering Big Data with Apache Spark and Java

The developer has to call the `partition()` method.


Spark partitions the data automatically.


How can a DataFrame be manually partitioned?


How can a DataFrame be manually partitioned?

Shuffling is the action of re-arranging data between partitions and the nodes where those partitions live. 

Shuffling is the action of re-arranging the columns of a *DataFrame*.

**(Select all that apply)** Which of the following transformations might trigger shuffling? 


(Select all that apply) Which of the following transformations might trigger shuffling?

UDFs allow the developer to create custom functions applicable to *DataFrames* that operate in a similar way as transformations.

UDFs allow the developer to create complex objects that provide similar functionality as *DataFrames*.

What are User-defined Functions (UDFs) in Spark?


What are User-defined Functions (UDFs) in Spark?

DataFrame Advanced Operations Quiz


DataFrame Advanced Operations Quiz

Test your knowledge of DataFrame advanced operations.

Course Introduction

Spark Introduction and Basics

Getting Started with Spark

DataFrame Basic Operations

DataFrame Advanced Operations

Spark SQL and Other Functionalities

Building a Big Data Batch Application

Deployment and Cluster Execution

Monitoring and Performance Fundamentals

Conclusion

Apendix

Quiz Yourself: DataFrame Advanced Operations