Connecting to SQL Server from Databricks from Pluralsight

This course covers the steps involved in setting up a SQL Server instance and a Databricks workspace in the same virtual network, and querying the database from a notebook.

Databricks is a versatile and powerful data platform which can help us perform a lot of processing, analysis and machine learning tasks. But it often needs to source its data from external storage systems, such as relational databases. In this course, Connecting to SQL Server from Databricks, you'll learn how the data in a SQL Server database can be accessed from a Databricks workspace. First, you'll explore provisioning a Databricks workspace in a custom virtual network. Next, you'll discover a number of connection rules to ensure that Databricks and SQL server can communicate with each other, and also enable connections to the database from a local SQL client. Finally, you'll learn how to query a table in the SQL Server database from a notebook in our Databricks workspace. Once you complete this course, you will become aware of the infrastructure set-up needed to ensure that two popular data platforms - Databricks and SQL Server - are able to communicate with one another, and can implement such a link in your own environment.

What's inside

Syllabus

Course Overview

Creating a Databricks Workspace

Running SQL Server in a Docker Container

Querying SQL Server from Databricks

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores industry standard practices for integrating data from relational databases into big data platforms

Taught by Kishan Iyer, an established instructor in the field of data engineering

Provides hands-on practice with setting up a SQL Server instance and a Databricks workspace in the same virtual network

Suitable for data engineers and data analysts who need to integrate data from SQL Server into Databricks

Career center

Learners who complete Connecting to SQL Server from Databricks will develop knowledge and skills that may be useful to these careers:

SQL Server Developer

A SQL Server Developer is responsible for developing and managing SQL databases. This often involves creating and maintaining tables, writing queries, and optimizing database performance. The course in question, Connecting to SQL Server from Databricks, may be helpful for SQL Server Developers as it covers the steps involved in setting up a SQL Server instance and a Databricks workspace in the same virtual network, a skill that is likely to be quite useful in this job.

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Database Administrator

A Database Administrator is responsible for designing, implementing, and maintaining databases. This also can involve installing, configuring, and upgrading database software; monitoring and optimizing database performance; and ensuring data security and integrity. The course Connecting to SQL Server from Databricks could be useful in this context, as a DBA may be responsible for managing the SQL Server instance and the Databricks workspace.

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DBA

A DBA is responsible for designing, implementing, and maintaining databases. This may involve creating and maintaining tables, writing queries, and optimizing database performance. The course Connecting to SQL Server from Databricks may be helpful for DBAs, as it can help them to understand how to integrate SQL Server databases into their data architectures and ensure that they are accessible and usable by the organization's data consumers.

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Data Architect

A Data Architect designs and builds data architectures for organizations. This may involve creating and maintaining data models, developing data integration strategies, and ensuring data security and governance. The course Connecting to SQL Server from Databricks may be useful for Data Architects, as it can help them to understand how to integrate SQL Server databases into their data architectures and ensure that they are accessible and usable by the organization's data consumers.

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Database Developer

A Database Developer designs and develops databases for organizations. This may involve creating and maintaining tables, writing queries, and optimizing database performance. The course Connecting to SQL Server from Databricks may be helpful for Database Developers, as it can help them to understand how to integrate SQL Server databases into their data architectures and ensure that they are accessible and usable by the organization's data consumers.

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Data Scientist

A Data Scientist uses scientific methods, processes, and algorithms to extract knowledge and insights from data. This may involve collecting, cleaning, and analyzing data to uncover patterns, and using statistical or machine learning techniques to build models that can predict future outcomes. The Connecting to SQL Server from Databricks course may be useful to Data Scientists who are working with data stored in SQL Server databases, as it can help them to access and query the data in a more efficient and effective way.

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Data Engineer

A Data Engineer designs and builds data pipelines to move data from various sources to a data warehouse or data lake. They also develop and maintain ETL (extract, transform, load) processes to ensure that the data is clean, consistent, and usable for analysis. The Connecting to SQL Server from Databricks course may be useful to Data Engineers who are working with data stored in SQL Server databases, as it can help them to access and query the data in a more efficient and effective way.

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ETL Developer

An ETL Developer designs and develops ETL (extract, transform, load) processes to move data from various sources to a data warehouse or data lake. They work to ensure that the data is clean, consistent, and usable for analysis. The Connecting to SQL Server from Databricks course may be useful for ETL Developers, as it can help them to understand how to integrate SQL Server databases into their ETL processes and ensure that the data is accessible and usable by the organization's data consumers.

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Data Integration Engineer

A Data Integration Engineer designs and builds data pipelines to move data from various sources to a data warehouse or data lake. They also develop and maintain ETL (extract, transform, load) processes to ensure that the data is clean, consistent, and usable for analysis. The Connecting to SQL Server from Databricks course may be useful for Data Integration Engineers, as it can help them to understand how to integrate SQL Server databases into their data pipelines and ensure that the data is accessible and usable by the organization's data consumers.

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Business Analyst

A Business Analyst gathers and analyzes data to help businesses make better decisions. They may work on a variety of projects, from developing new products to improving existing processes. As part of their work, they may need to interact with databases, such as SQL Server, to access and query data for analysis. The course Connecting to SQL Server from Databricks may help Business Analysts to develop the skills needed to interact with SQL Server databases and integrate them into their analysis projects.

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Analyst

An Analyst gathers and analyzes data to help businesses make better decisions. This may involve collecting data from a variety of sources, cleaning and preparing the data for analysis, and developing insights and recommendations. The course Connecting to SQL Server from Databricks may be useful to Analysts, as it can help them to access and query data from SQL Server databases and integrate it into their analysis projects.

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Machine Learning Engineer

A Machine Learning Engineer designs, develops, and maintains machine learning models. They may work on a variety of projects, from developing new models to improving existing ones. As part of their work, they may need to interact with databases, such as SQL Server, to access and query data for training and testing their models. The course Connecting to SQL Server from Databricks may help Machine Learning Engineers to develop the skills needed to interact with SQL Server databases and integrate them into their machine learning projects.

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Data Analyst

In this field, you will uncover business insights and trends using data. A key aspect of this role is leveraging SQL to gather data. The course Connecting to SQL Server from Databricks may help data analysts become more familiar with SQL manipulation, specifically in the context of Databricks and SQL Server, two popular applications for data management.

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DevOps Engineer

A DevOps Engineer automates the process of software development and deployment. They may work on a variety of projects, from developing new software to maintaining existing systems. As part of their work, they may need to interact with databases, such as SQL Server, to access and query data for testing and monitoring purposes. The course Connecting to SQL Server from Databricks may help DevOps Engineers to develop the skills needed to interact with SQL Server databases and integrate them into their DevOps processes.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. They may work on a variety of projects, from small personal apps to large enterprise systems. As part of their work, they may need to interact with databases, such as SQL Server. The course Connecting to SQL Server from Databricks may help Software Engineers to develop the skills needed to interact with SQL Server databases and integrate them into their software applications.

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