Prophecy Launches First Data Transformation Copilot For Databricks
Generative AI accelerates data preparation for analytics and AI
To learn more, read the blog here or visit the company at the Databricks Data+AI Summit on
"Generative AI is set to fundamentally change how we work with data, as technologies that leverage intelligence about data and language models provide novel approaches to transform, organize and get insights from data," said
Cloud data platforms have become increasingly powerful to support a wide array of use cases, including streaming data pipelines, batch pipelines, and ad hoc SQL analyses. These platforms effectively handle diverse data types, from database tables to APIs to documents, and apply transformations such as cleaning, combining, aggregating, and structuring to prepare the data for utilization in AI and business intelligence.
Enabling a large number of data users to be productive has proven challenging for organizations, because traditional visual ETL products fail to seamlessly integrate with code-based cloud data platforms. Consequently, many enterprises resort to developing code directly for these cloud data platforms which, while powerful, remains inaccessible to most data users. Copilots address this issue by democratizing access to cloud data platforms, thereby increasing productivity across the board.
"The industry's current approach to data transformation is broken. Simplistic tools cater to many users, but lack power. Cloud data platforms are powerful, but remain accessible only to expert data engineers. Both of these approaches fail to adequately address the problem," said
Prophecy Data Transformation Copilot uniquely integrates visual interface, generative AI, and compiler technology to provide the most efficient approach to data transformation. Prophecy enables organizations to accelerate every stage of the data pipeline lifecycle in the following ways:
- Develop: By suggesting next transforms, completing expressions, and generating equivalent data pipelines based on user input.
- Test & Deploy: By automating tasks, from suggesting tests to reduce errors, to generating documentation and commit messages to streamline deployment.
- Observe: By monitoring deployed pipelines, and suggesting fixes for errors, the platform enables any data user to fix and redeploy pipelines for improved uptime.
"As a growing Databricks partner, Prophecy continues to help our largest enterprise customers accelerate productivity and generate substantial value from their data transformation efforts," said
Prophecy integrates deeply with Databricks, supporting the full lifecycle of Apache Spark- or SQL-based data pipelines. Pipelines developed with Prophecy's AI-powered visual interface turn into Spark code, or into SQL code with dbt core, making the full power of code available to all data users. Integrations with Databricks Unity Catalog and
To learn more about Prophecy Data Transformation Copilot for Databricks visit us at the Databricks Data+AI Summit on
About Prophecy
Prophecy is the data copilot company. Fortune 500 enterprises - including the largest institutions in banking, insurance, healthcare & life sciences, and technology - rely on Prophecy Data Transformation Copilot to accelerate AI and analytics by delivering data that is clean, trusted, and timely. Prophecy enables all data users and makes them productive by helping develop, deploy, and observe data pipelines on cloud data platforms. Organizations trust Prophecy for the most demanding workloads, including tens of thousands of data pipelines that deliver massive volumes of data for AI and analytics.
Media Contacts
McCoin & Smith Communications Inc.
508-429-5988 (Chris) or 978-618-4492 (Rick)
[email protected] or [email protected]
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SOURCE Prophecy
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