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Democratize data engineering in Databricks with Designer Cloud powered by Trifacta

 

Self-service data engineering, built for the
the lakehouse

Data volumes are exploding faster than ever before, leading to the rising adoption of scalable cloud data storage and processing technologies. But does your company have enough skilled data workers to fully leverage the vast volumes of data inside your lakehouse?

Designer Cloud’s self-service data engineering platform natively integrates with Databricks on AWS and Azure to empower everyone in your organization, regardless of technical skill level, to efficiently combine, explore, and transform their own data in the lakehouse.

With Designer Cloud, organizations can take underutilized data in their lakehouse from “nice to have” to “mission critical.”

 
Accelerate & Automate Databricks Data Pipelines

Visually-driven platform accelerates the process of building and automating data pipelines to and from Databricks

Native Databricks Read and Write

Low-code and no-code data transformation steps can read and write natively to Databricks databases and tables on AWS and Azure

Scalable & High-Performing

Integration with Databricks provides improved workload performance and scalability for cloud analytics

Fully Managed Cloud Platform

Fully managed cloud platform simplifies data engineering operations so workers can focus on the data

 

 

Partner Snapshot

Databricks, founded by the original creators of Apache Spark™, provides the Unified Analytics Platform to accelerate innovation by unifying data science, data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production delivery of machine learning use cases.

Databricks provides a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.

 

“With the integration with Azure Databricks, Trifacta offers a tremendous asset to Azure Databricks users. Users can enable one-click data preparation within Trifacta by leveraging set-up for Azure Databricks to quickly explore and transform diverse data at scale, driving faster and more advanced cloud analytics. We’re excited to expand the reach of the unified analytics platform and see this partnership gain traction, which will accelerate analytics projects for new and existing customers.”