It’s crucial to understand the process of committing code and artifacts to a source control repository in Azure Synapse Analytics. Mastering this can improve the efficiency of version control in your data projects.
Understanding Source Control Repository in Azure Synapse Analytics
Azure Synapse Analytics, previously known as SQL Data Warehouse, is a comprehensive cloud-based integration and analytics service. It allows the building of enterprise-scale analytical solutions. Central to this is the capability to use source control repositories, including Azure DevOps and GitHub. These source control repositories allow you to track and manage changes to your data projects.
What is a Source Control Repository?
In essence, a source control repository is a database of modifications made to your codebase. It allows the tracking of every alteration, facilitates collaboration, and prevents code loss. Such repositories can be local or remote based on the project requirements. Microsoft Azure supports integration with various source control services, the most common of which are Azure Repos (a part of Azure DevOps) and GitHub.
How to Commit Code and Artifacts to a Source Control Repository
Committing code and artifacts to the repository essentially involves three steps:
- Initial Commit: This first step involves setting up the local repository and committing the project’s code or artifacts for the first time.
- Subsequent Commits: Once the repository is set, you make further changes in your project and commit those changes. Each commit represents a new version of your code or project.
- Pushing the commits: After committing the changes locally, you need to push these changes to the remote repository.
Committing Code and Artifacts in Azure Synapse Analytics : A Walkthrough
While Azure Synapse Analytics supports many source control services, this guide focuses on committing code and artifacts to an Azure Repos. The below walkthrough illustrates the complete process:
Initial Setup
Before we start, ensure that you have an Azure DevOps project with an Azure Repos git repository. An Azure Synapse workspace integrated with Azure DevOps is also required.
- From Azure Synapse Studio, select ‘Develop’ from the left-hand menu and open the script you’d like to commit.
- Against the script, click ‘…,’ select ‘Add to Source Control’ from the dropdown menu.
- Choose your Azure DevOps Organization, choose the project, Repository, Branch, and Folder to which you want to commit the artifacts. Click Apply.
Committing changes
- Make changes to your notebooks, data flows, or other artifacts.
- Select ‘Source Control’ from the left-hand menu.
- Select the changes you want to commit.
- Click ‘Commit’. Provide a Commit message that describes your changes, and click ‘Commit’ again.
Pushing changes to the remote repository
Your changes have been committed to your local repository in Azure Synapse Studio. To share the changes with your team, you need to push these changes to the remote repository.
- Go to the ‘Source Control’ menu.
- Click on ‘Push’.
And voila! Your changes have been committed and pushed to the Azure Repos.
Summary
This guide has highlighted the process of committing code and artifacts to a source control repository using Azure Synapse Analytics. If you’re studying for the DP-500 Designing and Implementing Enterprise-Scale Analytics Solutions exam, having a thorough understanding of this process is vital as it forms the bedrock for implementing effective version control on your data projects.
Practice Test
True or False: Azure Synapse Analytics allows you to integrate and analyze data from various sources.
- True
- False
Answer: True
Explanation: Azure Synapse Analytics is a powerful service that allows users to integrate, store, analyze and visualize data from different sources all in one place.
Multiple Select: Which of the following can be considered as source control repositories in Azure Synapse Analytics?
- A) Azure DevOps
- B) GitHub
- C) Bitbucket
- D) Google Drive
Answer: A, B, C
Explanation: Azure DevOps, GitHub and Bitbucket are widely used source control repositories that can be integrated with Azure Synapse Analytics. Google Drive is not a source control repository.
Single Select: Which of the following is NOT an encryption method supported by Azure Synapse Analytics for data protection?
- A) Transparent Data Encryption
- B) Always Encrypted
- C) Storage Service Encryption
- D) RSA Encryption
Answer: D, RSA Encryption
Explanation: Azure Synapse Analytics supports Transparent Data Encryption (TDE), Always Encrypted, and Storage Service Encryption (SSE) for data at rest. RSA Encryption is not a supported encryption method in Azure Synapse Analytics.
True or False: The commit code in Azure Synapse Analytics is to finalize changes made in the source control repository.
- True
- False
Answer: True
Explanation: Committing code in Azure Synapse Analytics or in any version control system finalizes changes, marking them as ready for pushing to the repository.
Multiple Select: What are the artifact types that you can commit to a source control repository in Azure Synapse Analytics?
- A) Data flows
- B) Notebooks
- C) Pipelines
- D) Power BI Reports
Answer: A, B, C
Explanation: Data flows, notebooks, pipelines are among the artifacts that can be committed to a source control repository in Azure Synapse Analytics. Power BI reports cannot be committed to a source control repository directly from Azure Synapse Analytics.
Single Select: What is the primary goal of source control in Azure Synapse Analytics?
- A) Backup data
- B) Version control
- C) Analyze data
- D) Visualize data
Answer: B, Version control
Explanation: The main purpose of source control in Azure Synapse Analytics is to provide version control which allows for tracking and controlling changes to project code.
True or False: Azure Synapse Analytics only supports public repositories for code commit.
- True
- False
Answer: False
Explanation: Azure Synapse Analytics supports both public and private repositories for code commit, providing flexibility depending on your specific security requirements.
Multi Select: Which of the following can be performed after committing code to a source control repository in Azure Synapse Analytics?
- A) Code reviewing
- B) Branching
- C) Merging
- D) All of the above
Answer: D, All of the above.
Explanation: After committing code to a source control repository in Azure Synapse Analytics, it is possible to perform code reviews, branching and merging as part of the devops workflow.
Single Select: Azure Synapse Analytics supports which of the following for continuous delivery and continuous deployment?
- A) Azure Pipelines
- B) Jenkins
- C) CircleCI
- D) All of the above
Answer: A, Azure Pipelines
Explanation: While various CI/CD tools exist, Azure Synapse Analytics primarily integrates with Azure Pipelines for continuous delivery and deployment.
True or False: You can track changes to a file in Azure Synapse Analytics using commit history.
- True
- False
Answer: True
Explanation: One of the features of source control repositories is to provide a commit history, which allows tracking of changes to a file over time.
Multiple Select: In Azure Synapse Analytics, what can happen when two people try to commit changes to the same file at the same time?
- A) An error occurs
- B) One commit overwrites the other
- C) A conflict occurs
- D) The system freezes
Answer: B, One commit overwrites the other and C, A conflict occurs
Explanation: Concurrent changes to the same file can either result in one commit overwriting the other or a conflict, upon which the system prompts for conflict resolution. The system does not freeze or throw an error.
Interview Questions
What is Azure Synapse Analytics?
Azure Synapse Analytics is an integrated analytics service that provides big data and data warehousing capabilities.
What is the main purpose of Azure Synapse Analytics?
Azure Synapse Analytics helps to prepare, manage, and serve data for immediate BI and machine learning with performance and flexibility.
What role does a source control repository play in Azure Synapse Analytics?
A source control repository allows you to track changes on your code and artifacts in a structured and safe manner. It helps to manage different versions of the artifacts and enables collaboration among team members.
How can you commit code and artifacts to a source control repository in Azure Synapse?
You can commit code and artifacts to a source control repository either manually using the Synapse Studio, or automate the process by setting up a CI/CD pipeline in Azure DevOps.
What are the supported source control systems in Azure Synapse Analytics?
Azure Synapse Analytics supports two types of source control systems: Git and Azure DevOps.
What is Git integration in Azure Synapse Analytics?
Git integration with Azure Synapse Studio allows you to manage code versioning and collaborate with others.
How to enable Git integration in Azure Synapse Analytics?
In Azure Synapse Studio, go to the ‘Data’ hub. Then navigate to the ‘Linked’ tab and select ‘+ New’. Provide the required details for the Git repository.
What happens when you commit changes to a source control repository in Azure Synapse?
When you commit changes to a source control repository in Azure Synapse, the code changes are saved to the repository. These changes can then be tracked and shared with other team members.
Why is it advised to use source control repository in Azure Synapse Analytics?
Using a source control repository in Azure Synapse Analytics allows tracking both changes and versions of scripts and workflows, enabling easy collaboration within a team and preventing data loss.
Can you revert changes in Azure Synapse Analytics if something goes wrong?
Yes, you can revert to a specific commit in the source control repository to retrieve the previous version of the code and artifacts.
How do you synchronize your code changes with Azure Synapse Analytics?
You can synchronize your changes in Azure Synapse Analytics by using the push (to send your changes to the remote repository) and pull (to fetch and merge changes from the remote repository) commands.
Why is it essential to keep the work in separate branches while working on Azure Synapse Analytics?
Keeping work in separate branches allows multiple features to be developed concurrently without impacting the main codebase until they are completely developed and tested.
Can you describe what a Pull request is in the context of Azure Synapse Analytics?
In the context of Azure Synapse Analytics, a pull request is a method of submitting contributions to a project. It’s a request sent to the project owner to pull a branch from your repository and merge it into their repository.
What benefits does Azure DevOps provide in conjunction with Azure Synapse Analytics?
Azure DevOps provides a set of development, build, test, and deployment tools that work with Azure Synapse Analytics. It helps in implementing DevOps practices like continuous integration and continuous deployment with Azure Synapse.
What is Continuous Integration and Continuous Deployment (CI/CD) in Azure Synapse Analytics?
CI/CD is a practice in software development that involves regularly integrating code changes into a central repository, and then automatically deploying the code to production. This practice can be achieved using Azure DevOps in Azure Synapse Analytics.
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