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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
