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Kishan Iyer

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.

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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.

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What's inside

Syllabus

Course Overview
Exploring Azure Databricks Integrations
Integrating Azure Databricks with SQL Workbench/J
Linking Azure Databricks with Prophecy
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Integrates SQL Workbench/J and the Prophecy service for enhanced development environment
Taught by Kishan Iyer, an industry expert in SQL and data integration
Explores the benefits of tool integrations for engineers' productivity
Provides step-by-step guidance on integrating Azure Databricks with SQL Workbench/J
Examines the process of connecting Prophecy workflow with Databricks

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Integrating SQL and ETL Tools with Databricks with these activities:
Review SQL and ETL concepts
This course builds on basic SQL and ETL concepts. Reviewing these concepts will help you have a strong foundation and get the most out of the course.
Browse courses on SQL
Show steps
  • Read up on SQL syntax and commands
  • Practice writing SQL queries to extract and manipulate data
  • Review ETL tools and processes
Follow tutorials on integrating SQL Workbench/J with Databricks
This course provides hands-on examples of integrating SQL Workbench/J with Databricks. Following these tutorials will help you gain practical experience and reinforce what you learn in the course.
Show steps
  • Find tutorials on installing and configuring SQL Workbench/J for Azure Databricks
  • Complete the tutorials, following the instructions carefully
  • Experiment with the integration by running your own queries and ETL workflows
Create and run SQL queries to demonstrate integration between SQL Workbench/J and Databricks
Writing and running SQL queries is essential for working with Databricks. This activity will give you opportunities to practice these skills and solidify your understanding of how to integrate SQL Workbench/J with Databricks.
Browse courses on SQL Queries
Show steps
  • Create a new database in your Databricks workspace
  • Import data into your database using SQL Workbench/J
  • Write and run SQL queries to extract, transform, and analyze data
Show all three activities

Career center

Learners who complete Integrating SQL and ETL Tools with Databricks will develop knowledge and skills that may be useful to these careers:
Data Integration Specialist
A Data Integration Specialist designs, builds, and maintains data integration solutions. This course may be useful for Data Integration Specialists who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data integration and processing.
Data Architect
A Data Architect builds and maintains an organization's data architecture, ensuring that data is accessible, reliable, and secure. This course may be useful for Data Architects who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data management and analysis.
Database Administrator
A Database Administrator manages and maintains databases, ensuring that they are available, reliable, and secure. This course may be useful for Database Administrators who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve database management and analysis.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and systems. This course may be useful for Data Engineers who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data processing and analysis.
Big Data Analyst
A Big Data Analyst analyzes large datasets to identify trends and patterns. This course may be useful for Big Data Analysts who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data analysis and visualization.
Data Management Consultant
A Data Management Consultant helps organizations to improve their data management practices. This course may be useful for Data Management Consultants who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data management and analysis.
ETL Developer
An ETL Developer designs, builds, and maintains ETL (Extract, Transform, Load) processes. This course may be useful for ETL Developers who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data integration and processing.
Data Scientist
A Data Scientist uses data to solve business problems. This course may be useful for Data Scientists who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data analysis and modeling.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve software development and deployment.
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing solutions. This course may be useful for Cloud Engineers who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve cloud computing performance and reliability.
DevOps Engineer
A DevOps Engineer combines software development and operations to improve software delivery and deployment. This course may be useful for DevOps Engineers who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve software development and deployment.
Systems Engineer
A Systems Engineer designs, builds, and maintains computer systems. This course may be useful for Systems Engineers who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve system performance and reliability.
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. This course may be useful for Data Governance Analysts who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data governance and compliance.
Data Warehouse Architect
A Data Warehouse Architect designs, builds, and maintains data warehouses. This course may be useful for Data Warehouse Architects who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve data warehouse performance and reliability.
IT Project Manager
An IT Project Manager plans, executes, and controls IT projects. This course may be useful for IT Project Managers who want to learn how to integrate Databricks with other tools, such as SQL Workbench/J and Prophecy, to improve project management and delivery.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Integrating SQL and ETL Tools with Databricks.
Provides a practical guide to using SQLAlchemy, a popular Python library for working with SQL databases.
Provides an accessible introduction to Apache Spark.

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