Fivetran supports Microsoft OneLake as a destination through integration with Microsoft Fabric

For customers using Microsoft’s Data Lake offerings, they can securely land data in Delta Lake format from any one of Fivetran’s 400+ source connectors.
November 15, 2023

We are excited to announce that Fivetran’s support for Microsoft OneLake in Microsoft Fabric as a new data lake destination is generally available. This is our second data lake destination with Microsoft, as Delta Lake on Azure Data Lake Storage (ADLS Gen2) became GA in September. 

With Fivetran’s automated data extraction, cleansing, conforming and converting data to Delta Lake format, customers can move faster as they build the foundation for business initiatives like AI and ML projects. Structured, governed and ready-to-query data is critical for analysts and data scientists to deliver on high-value business initiatives. 

Why is Fivetran’s new OneLake destination a big deal?

Microsoft announced general availability of OneLake in Microsoft Fabric at this week’s Ignite conference. OneLake is a solution for a single tenant that doesn’t require provisioning or setup and gives customers easy access to their data through a file explorer, similar to Microsoft OneDrive for files. Using Fivetran, customers can land data directly in their OneLake workspace from any Fivetran source without any SQL commands or custom configuration. Once the data is in OneLake, businesses can define filtered areas for users to define and control access.

Data-driven organizations face challenges when consolidating data from multiple sources. Each source requires a pipeline to land data in the chosen destination. Building and maintaining pipelines is a time-consuming process, as many sources have unique requirements coupled with API updates and evolving schemas that often break the connection. Using Fivetran for data ingestion into OneLake or Delta Lake on Azure Data Lake reduces this burden and provides the lakehouse structure that enables analytics as soon as the data lands. 

The key to this process is the automated conversion into Delta Lake format. Regardless of the initial data format, Delta Lake provides enhanced reliability, scalability and performance for the lakehouse. Data teams can efficiently run queries and manipulate data with Python, SQL or Scala. Fivetran’s conversion to Delta Lake format offers a turnkey solution that allows customers to move as quickly as possible to unlock the value of their data through analytics and AI.

Fivetran as the enterprise standard for data lake integration 

Fivetran’s platform offers the flexibility and scalability that allows enterprises to build the lakehouse foundation required to get the most value from the data generated across on-premises, cloud-based and third-party sources. Whether an organization has a hybrid or multi-cloud environment, Fivetran provides high-volume data movement with enterprise-ready reliability of 99 percent uptime and industry-standard practices for data encryption, with GDPR, IS0 27001 and SOC 2 Type II compliance. With the integration of 400+ data sources and automatic conversion into Delta Lake format, Fivetran accelerates the time to value in adoption of a lake-based architecture.

Learn more about how to accelerate data movement into Microsoft Azure with Fivetran and sign up for a free 14-day trial today

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Fivetran supports Microsoft OneLake as a destination through integration with Microsoft Fabric

Fivetran supports Microsoft OneLake as a destination through integration with Microsoft Fabric

November 15, 2023
November 15, 2023
Fivetran supports Microsoft OneLake as a destination through integration with Microsoft Fabric
For customers using Microsoft’s Data Lake offerings, they can securely land data in Delta Lake format from any one of Fivetran’s 400+ source connectors.

We are excited to announce that Fivetran’s support for Microsoft OneLake in Microsoft Fabric as a new data lake destination is generally available. This is our second data lake destination with Microsoft, as Delta Lake on Azure Data Lake Storage (ADLS Gen2) became GA in September. 

With Fivetran’s automated data extraction, cleansing, conforming and converting data to Delta Lake format, customers can move faster as they build the foundation for business initiatives like AI and ML projects. Structured, governed and ready-to-query data is critical for analysts and data scientists to deliver on high-value business initiatives. 

Why is Fivetran’s new OneLake destination a big deal?

Microsoft announced general availability of OneLake in Microsoft Fabric at this week’s Ignite conference. OneLake is a solution for a single tenant that doesn’t require provisioning or setup and gives customers easy access to their data through a file explorer, similar to Microsoft OneDrive for files. Using Fivetran, customers can land data directly in their OneLake workspace from any Fivetran source without any SQL commands or custom configuration. Once the data is in OneLake, businesses can define filtered areas for users to define and control access.

Data-driven organizations face challenges when consolidating data from multiple sources. Each source requires a pipeline to land data in the chosen destination. Building and maintaining pipelines is a time-consuming process, as many sources have unique requirements coupled with API updates and evolving schemas that often break the connection. Using Fivetran for data ingestion into OneLake or Delta Lake on Azure Data Lake reduces this burden and provides the lakehouse structure that enables analytics as soon as the data lands. 

The key to this process is the automated conversion into Delta Lake format. Regardless of the initial data format, Delta Lake provides enhanced reliability, scalability and performance for the lakehouse. Data teams can efficiently run queries and manipulate data with Python, SQL or Scala. Fivetran’s conversion to Delta Lake format offers a turnkey solution that allows customers to move as quickly as possible to unlock the value of their data through analytics and AI.

Fivetran as the enterprise standard for data lake integration 

Fivetran’s platform offers the flexibility and scalability that allows enterprises to build the lakehouse foundation required to get the most value from the data generated across on-premises, cloud-based and third-party sources. Whether an organization has a hybrid or multi-cloud environment, Fivetran provides high-volume data movement with enterprise-ready reliability of 99 percent uptime and industry-standard practices for data encryption, with GDPR, IS0 27001 and SOC 2 Type II compliance. With the integration of 400+ data sources and automatic conversion into Delta Lake format, Fivetran accelerates the time to value in adoption of a lake-based architecture.

Learn more about how to accelerate data movement into Microsoft Azure with Fivetran and sign up for a free 14-day trial today

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