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Updated in [April 29th, 2023]
What does this course tell?
(Please note that the following overview content is from the original platform)
Databricks can be made much easier to adopt if it can be seamlessly integrated into a development environment. This course looks into how this can be accomplished for the SQL Workbench/J client and the Prophecy service.
For any organization which uses Databricks, integrating this big data platform into their own tool environments can prove a complex task. In this course, Integrating SQL and ETL Tools with Databricks, you'll learn how Databricks looks into two specific tools - SQL Workbench/J and Prophecy - and links them within the Databricks workspace. First, you'll discover the need or tool integrations, how these can help engineers be more productive, and how these can avoid adding to the complexity of a tooling environment. Then, you'll explore linking an Azure Databricks workspace with a popular SQL client - namely SQL Workbench/J. Finally, you'll learn the steps involved in integrating a Prophecy workflow with Databricks. Once you complete this course, you will be well-versed with the types of integrations which are possible with Databricks, and how to link up two popular tools with this big data service.
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire skills and knowledge in integrating SQL and ETL tools with Databricks, understanding the need for tool integrations, how these can help engineers be more productive, and how these can avoid adding to the complexity of a tooling environment. Learners will also gain knowledge in linking an Azure Databricks workspace with a popular SQL client, such as SQL Workbench/J, and integrating a Prophecy workflow with Databricks. Additionally, learners can gain knowledge and skills in SQL and ETL through online learning and skill training.
How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with the knowledge and skills to integrate SQL and ETL tools with Databricks, a big data platform. Learners will gain an understanding of the need for tool integrations, how they can help engineers be more productive, and how they can avoid adding complexity to the tooling environment. Additionally, learners can gain knowledge and skills in SQL and ETL through online learning and skill training. This course can help learners develop the skills necessary to pursue a career in data engineering, data science, data architecture, or business intelligence analysis. It can also help learners pursue a Bachelor of Science in Computer Science, a Master of Science in Data Science, a Master of Science in Business Analytics, or a Doctor of Philosophy in Data Science.
Is this course suitable for preparing further education?
This course is suitable for preparing further education in the field of big data and analytics. It covers topics such as SQL and ETL tools, cloud-based data warehouses, machine learning, artificial intelligence, and natural language processing. Learners will gain knowledge and skills in SQL and ETL through online learning and skill training. Additionally, learners can apply the knowledge gained to integrate SQL and ETL tools with Databricks. This course is ideal for those looking to develop their skills in the field of big data and analytics and pursue a career in data engineering, data science, data architecture, or business intelligence.
