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Apache Spark 3 – Databricks Certified Associate Developer

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Apache Spark 3 - Databricks Certified Associate Developer
Apache Spark 3 Databricks Certified Associate Developer

Learn Apache Spark 3 With Scala & Earn the Databricks Associate Certification to prove your skills as data professional

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Udemy Coupon Code for Apache Spark 3 – Databricks Certified Associate Developer Course. Learn Apache Spark 3 With Scala & Earn the Databricks Associate Certification to prove your skills as data professional

Created by Wadson Guimatsa | 4.5 hours on-demand video course

Apache Spark Course Overview

Apache Spark 3 – Databricks Certified Associate Developer

Do you want to learn how to handle massive amounts of data at scale? Learn Apache Spark 3 and pass the Databricks Certified Associate Developer for Apache Spark 3.0. Hi, My name is Wadson, and I’m a Databricks Certified Associate Developer for Apache Spark.

Apache Spark has become the standard big-data cluster processing framework in today’s data-driven world. Apache Spark is used for Data Engineering, Data Science, and Machine Learning. I will teach you everything you need to know about starting with Apache Spark.

You will learn the Architecture of Apache Spark and use its Core APIs to manipulate complex data. You will write queries to perform transformations such as Join, Union, GroupBy, and more. This course is for beginners. You don’t need any previous knowledge of Apache Spark.

Notebooks are available to download so that you can follow along with me in the videos. The Notebooks contain all the source code I use in the course. There are also Quizzes to help you assess your understanding of the topics.

What you’ll learn

  • How to prepare for the Databricks Certified Associate Developer For Apache Spark 3 Certification Exam
  • The Architecture of an Apache Spark Application
  • Learn how Apache Spark runs on a cluster of computer
  • Learn the Execution Hierarchy of Apache Spark
  • Create DataFrame from files and Scala Collections
  • Spark DataFrame API and SQL functions
  • Learn the different techniques to select the columns of a DataFrame
  • How to define the schema of a DataFrame and set the data types of the columns
  • Apply various methods to manipulate the columns of a DataFrame
  • How to filter your DataFrame based on specifics rules
  • Learn how to sort data in a specific order
  • Learn how to sort rows of a DataFrame in a specific order
  • How to arrange the rows of DataFrame as groups
  • How to handle NULL Values in a DataFrame
  • How to use JOIN or UNION to combine two data sets
  • How you can save the result of complex data transformations to an external storage system
  • The different deployment modes of an Apache Spark Application
  • working with UDFs and Spark SQL functions
  • How to use Databricks Community Edition to write Apache Spark Code

Apache Spark Streaming 3.0 with Scala | Rock the JVM

Apache Spark Streaming 3.0 with Scala | Rock the JVM

Stream big data in real time with Apache Spark 3.0 and integrate it with Kafka, JDBC, Cassandra and more

WITH THE LATEST SPARK 3.0 In this course, we will learn how to stream big data with Apache Spark 3. You’ll write 1500+ lines of Spark code yourself, with guidance, and you will become a rockstar. This Apache Spark Streaming 3.0 with Scala | Rock the JVM course is for Spark & Scala programmers who now need to work with streaming data, or who need to process data in real time. This course is for established programmers with experience with both Scala and Spark at least at the level of the Rock the JVM essential courses for Scala and Spark. I already assume a solid understanding of general programming fundamentals.

Taming Big Data with Apache Spark and Python – Hands On!

Taming Big Data with Apache Spark and Python – Hands On!

PySpark tutorial with 20+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!

“Big data” analysis is a hot and highly valuable skill – and this Taming Big Data with Apache Spark and Python – Hands On! course will teach you the hottest technology in big data: Apache Spark and specifically PySpark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think.

Who this course is for

  • Any Developer who wants to start using Apache Spark in their career
  • Beginner Spark Developer seeking Big Data Certification
  • Developer curious about Data Engineering and Data Science

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Taught by Wadson Guimatsa

Josh Smith
Josh Smith

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