Connect LinkedIn Ads to Azure MS SQL
Windsor.ai connector ensures hassle-free LinkedIn Ads and Azure SQL data integration, enabling you to store, manage, and analyze your ad data within the data warehouse. It does not require any coding or maintenance and extracts data in less than five minutes.
Why should I do Linkedin Ads and Azure SQL integration?
Azure SQL offers several data management features that your businesses can benefit from when you extract data and store it in the warehouse. Here are some of the major benefits:
- Manage your ad data using features like intelligent query processing, automatic index management, and automatic performance tuning.
- Analyze your data with ease using built-in features such as integration with Azure Synapse Analytics and gain valuable insights.
- Keep your ad data secure using Azure-proven security features, including encryption, firewall rules, and advanced threat protection.
- Unify your ad data with other relevant data in the organization from multiple databases to have a full image of your data.
How to connect LinkedIn Ads to Azure MS SQL
1. Register
Register or login if you already have an account.
2. Select your source
You need to select LinkedIn Ads as a Data Source and Grant Access to Windsor.ai.
3. Select Destination
In Select Destination select AzureSQL as destination
4. Sync your Data
Enter all the credentials required and click Save.
Your data will now be streamed LinkedIn Ads data to Azure SQL. In case there is an error, you will be notified.
FAQs
What is LinkedIn Ads?
Linked Ads is an advertising platform offered by LinkedIn that allows individuals and organizations to engage the targeted audience on the site. You have a choice of four ad formats on the site, including text ads, Sponsored InMail messages sent to users’ inboxes, native ads, and personalized ads. The feature also allows you to target audiences according to their location, interests, skills, and demographics.
What is Azure MS SQL?
Azure SQL is Microsoft’s cloud-based database service. It provides relational database management to help model, store, and analyze data. Its DBaaS service takes care of database management tasks and offers scalability, built-in intelligence, and high availability without the need to manage underlying infrastructure. Additionally, you benefit from performance tools like intelligent performance tuning and monitoring tools to manage workloads and optimize the database.
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