Databricks Essentials for Spark Developers (Azure and AWS)

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2019-09-12
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Durga Viswanatha Raju Gadiraju
Next Course
4.1
9,528 Ratings
Are you an experienced Spark Developer looking to understand the Databricks platform? This course will teach you the essentials of Databricks, including different editions such as Community, Databricks (AWS) and Azure Databricks, signing up for the community edition, uploading data to DBFS, developing using Databricks Notebook with Scala, Python and Spark SQL, and configuring jobs using Jar files. With this course, you can leverage the pay-as-you-go model of cloud computing to reduce the costs of infrastructure for Big Data Clusters. Don't miss out on this opportunity to learn the essentials of Databricks!
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Databricks Essentials for Spark Developers (Azure and AWS) Go to class
Course Overview

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

Updated in [August 13th, 2023]

Skills and Knowledge Acquired:
This course will provide participants with the skills and knowledge necessary to understand and work with the Databricks platform. Participants will learn about the different editions of Databricks, such as Community, Databricks (AWS) and Azure Databricks, and how to sign up for the community edition. They will also learn how to upload data to DBFS, develop using Databricks Notebook with Scala, Python, and Spark SQL, and configure jobs using Jar files. Additionally, participants will gain an understanding of the development life cycle using Scala with IntelliJ as an IDE.


Contribution to Professional Growth:
This course contributes to professional growth by providing an understanding of the Databricks platform and how to use it to develop data engineering solutions. It covers topics such as signing up for the community edition, uploading data to DBFS, developing with Databricks Notebook, configuring jobs using Jar files, and more. By learning these skills, professionals can gain a better understanding of the Databricks platform and how to use it to develop data engineering solutions, which can help them to advance their careers.


Suitability for Further Education:
This Databricks Essentials for Spark Developers (Azure and AWS) course is suitable for preparing further education as it covers the essentials of the Databricks platform, including signing up for the community edition, uploading data to DBFS, developing using Databricks Notebook with Scala, Python, and Spark SQL, configuring jobs using Jar files, and more. This course provides a comprehensive overview of the Databricks platform and its capabilities, giving learners the knowledge and skills needed to pursue further education in the field.

Course Syllabus

Getting Started with Databricks

Databricks Notebook using Scala with Spark

Databricks Notebook using Python (pyspark)

Databricks Notebook using Spark SQL

Databricks Jobs and Clusters

Databricks Development and Deployment Life Cycle using Scala

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