Fivetran + Databricks: Level up your manufacturing operations

Fivetran partners with Databricks on their launch of Lakehouse for Manufacturing (L4M)
April 20, 2023

The needs of manufacturing organizations are specific to their varying data sources, data types and specific analytical needs. That’s why Fivetran is a proud partner of Databricks in their launch of Lakehouse for Manufacturing (L4M).

The Databricks’ Lakehouse for Manufacturing enables organizations to unleash the full value of Manufacturing data to deliver intelligent manufacturing networks, differentiated customer experiences, smarter products and sustainable businesses.

Why leverage a lakehouse in manufacturing?

The manufacturing data ecosystem includes everything from production and scheduling information, sales and shipping data, and equipment and machine sensor information. The variety and volume of data varies widely in comparison to other sectors and industries.

Making decisions leveraging all of this diverse information requires an architecture that centralizes these scattered sources and information types — without limiting their usage. Data lakehouses are built for that exact purpose, providing the benefits of both a data warehouse and a data lake in one. That includes providing the flexibility of a data lake (and the storage of unstructured data) and the management methods of a data warehouse.

Unfortunately, one size doesn’t fit all. Due to the complex needs of manufacturing organizations, including the storage and operationalization of massive and complex IoT, images and video data, finding the right data lakehouse for how you utilize data is important.

The Databricks’ Lakehouse for Manufacturing is built for the way manufacturers utilize these varying data types and enables the unification of an otherwise diverse data ecosystem. That includes data from your ERP, IoT and shop floor execution systems, in open standards and formats.

For a manufacturing organization looking to make quick, informed decisions, without sacrificing depth of analysis or time, L4M creates the opportunity to:  

  • Gain a singular, 360 view of their customers that combines data from each stage of the customer journey
  • Get scalable, fine-grained forecasts to predict or sense demand, or perform supply chain planning and optimization
  • Enable data teams across engineering, analytics and AI to work together, without creating a data bottleneck
  • Increase sales by analyzing customer behavior and insights (structured, unstructured, and semi-structured), product telemetry (streaming, RFID, computer vision) and digital twins

Fivetran + L4M: Moving data like a well-oiled machine

Gaining the full benefits of a flexible, yet scalable architecture like a data lakehouse requires data movement that’s automated, easy, and streamlined.

That’s why Fivetran is partnering with Databricks on this impactful release. With Fivetran’s automated data movement solution, you can quickly and easily consolidate disparate on-prem, cloud and IoT enterprise data sources in real time to Databricks Lakehouse for Manufacturing.

Rather than building custom connectors for each and every source, Fivetran makes centralizing your various and diverse sources simple. In doing so, you can free your engineering resources from preparing to utilize L4M to actually leveraging it towards data-driven decisions.

“The ease of data movement provided by Fivetran in combination with the integrated AI capabilities and pre-built solutions enabled by Databricks’ Lakehouse for Manufacturing empowers manufacturers to unleash the full value of their data", said Shiv Trisal, Global Industry Leader for Manufacturing at Databricks.

Together, Fivetran and the Databricks Lakehouse for Manufacturing:

  • Make teams more productive with a consistent development experience for unstructured, semi-structured or structured data
  • Help you gain the most complete and real-time picture of your Manufacturing operations and supply chain to stay ahead of variable market conditions
  • Bring together your supply chain data to find areas of efficiency and boost industrial productivity

The Databricks’ Lakehouse for Manufacturing is a comprehensive enterprise data platform that enables manufacturers to deliver personalized outcomes, boost industrial productivity and innovate at the speed of data.

Combined with Fivetran, manufacturing organizations now have the opportunity to unlock innovation and address supply chain bottlenecks with a level of ease and power formerly unavailable. We’re excited to see how our joint customers gain a competitive advantage with this new release.

Interested in learning more about L4M? Check out this blog by Databricks!

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Schließen auch Sie sich den Tausenden von Unternehmen an, die ihre Daten mithilfe von Fivetran zentralisieren und transformieren.

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Fivetran + Databricks: Level up your manufacturing operations

Fivetran + Databricks: Level up your manufacturing operations

April 20, 2023
April 20, 2023
Fivetran + Databricks: Level up your manufacturing operations
Fivetran partners with Databricks on their launch of Lakehouse for Manufacturing (L4M)

The needs of manufacturing organizations are specific to their varying data sources, data types and specific analytical needs. That’s why Fivetran is a proud partner of Databricks in their launch of Lakehouse for Manufacturing (L4M).

The Databricks’ Lakehouse for Manufacturing enables organizations to unleash the full value of Manufacturing data to deliver intelligent manufacturing networks, differentiated customer experiences, smarter products and sustainable businesses.

Why leverage a lakehouse in manufacturing?

The manufacturing data ecosystem includes everything from production and scheduling information, sales and shipping data, and equipment and machine sensor information. The variety and volume of data varies widely in comparison to other sectors and industries.

Making decisions leveraging all of this diverse information requires an architecture that centralizes these scattered sources and information types — without limiting their usage. Data lakehouses are built for that exact purpose, providing the benefits of both a data warehouse and a data lake in one. That includes providing the flexibility of a data lake (and the storage of unstructured data) and the management methods of a data warehouse.

Unfortunately, one size doesn’t fit all. Due to the complex needs of manufacturing organizations, including the storage and operationalization of massive and complex IoT, images and video data, finding the right data lakehouse for how you utilize data is important.

The Databricks’ Lakehouse for Manufacturing is built for the way manufacturers utilize these varying data types and enables the unification of an otherwise diverse data ecosystem. That includes data from your ERP, IoT and shop floor execution systems, in open standards and formats.

For a manufacturing organization looking to make quick, informed decisions, without sacrificing depth of analysis or time, L4M creates the opportunity to:  

  • Gain a singular, 360 view of their customers that combines data from each stage of the customer journey
  • Get scalable, fine-grained forecasts to predict or sense demand, or perform supply chain planning and optimization
  • Enable data teams across engineering, analytics and AI to work together, without creating a data bottleneck
  • Increase sales by analyzing customer behavior and insights (structured, unstructured, and semi-structured), product telemetry (streaming, RFID, computer vision) and digital twins

Fivetran + L4M: Moving data like a well-oiled machine

Gaining the full benefits of a flexible, yet scalable architecture like a data lakehouse requires data movement that’s automated, easy, and streamlined.

That’s why Fivetran is partnering with Databricks on this impactful release. With Fivetran’s automated data movement solution, you can quickly and easily consolidate disparate on-prem, cloud and IoT enterprise data sources in real time to Databricks Lakehouse for Manufacturing.

Rather than building custom connectors for each and every source, Fivetran makes centralizing your various and diverse sources simple. In doing so, you can free your engineering resources from preparing to utilize L4M to actually leveraging it towards data-driven decisions.

“The ease of data movement provided by Fivetran in combination with the integrated AI capabilities and pre-built solutions enabled by Databricks’ Lakehouse for Manufacturing empowers manufacturers to unleash the full value of their data", said Shiv Trisal, Global Industry Leader for Manufacturing at Databricks.

Together, Fivetran and the Databricks Lakehouse for Manufacturing:

  • Make teams more productive with a consistent development experience for unstructured, semi-structured or structured data
  • Help you gain the most complete and real-time picture of your Manufacturing operations and supply chain to stay ahead of variable market conditions
  • Bring together your supply chain data to find areas of efficiency and boost industrial productivity

The Databricks’ Lakehouse for Manufacturing is a comprehensive enterprise data platform that enables manufacturers to deliver personalized outcomes, boost industrial productivity and innovate at the speed of data.

Combined with Fivetran, manufacturing organizations now have the opportunity to unlock innovation and address supply chain bottlenecks with a level of ease and power formerly unavailable. We’re excited to see how our joint customers gain a competitive advantage with this new release.

Interested in learning more about L4M? Check out this blog by Databricks!

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Kostenlos starten

Schließen auch Sie sich den Tausenden von Unternehmen an, die ihre Daten mithilfe von Fivetran zentralisieren und transformieren.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.