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ETL Microsoft SQL Server data with Designer Cloud

CATEGORY: RDBMS      STATUS: Available

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Microsoft SQL Server is a relational database management system.

ETL data from business-critical applications such as Salesforce, HubSpot, ServiceNow, Zuora, etc. into Microsoft SQL Server in seconds. With Designer Cloud's Microsoft SQL Server data connector, you can transform, automate, and monitor your Microsoft SQL Server data pipeline in real-time. No code required.

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.

Dataprep documentation

How to set up the connector in your Trifacta Dataprep project.
 

Join Microsoft SQL Server data with any data source

Combine datasets from any data source with your Microsoft SQL Server data. Connect to any data - Designer Cloud's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's joining Microsoft SQL Server data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Designer Cloud's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Microsoft SQL Server Screenshot
 

Microsoft SQL Server to your data warehouse in minutes

ETL your Microsoft SQL Server data to the destination of your choice.
 

No-code automation for your Microsoft SQL Server data pipeline

Designer Cloud empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your Microsoft SQL Server data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Microsoft SQL Server data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to combine and transform data stored in Microsoft SQL Server, ensure that the end result is high-quality data, every time. Designer Cloud automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Microsoft SQL Server data pipelines with job scheduling so that the right data is in your Microsoft SQL Server database when you need it. When new data lands in your Microsoft SQL Server database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

 

"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."

Henry Culver

IT Architect, Merkle

 

Use cases for the Microsoft SQL Server data connector

  • ETL Microsoft SQL Server data to Amazon Redshift

  • ETL Microsoft SQL Server data to Google BigQuery

  • ETL Microsoft SQL Server data to Snowflake

  • ETL Microsoft SQL Server data to Databricks

  • ETL Microsoft SQL Server data to MySQL

  • ETL Microsoft SQL Server data to Microsoft Azure

  • Join Microsoft SQL Server data with Google Sheets data

  • Prepare Microsoft SQL Server data for data visualization in Tableau

 
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