ThinkData Works Releases Data Lineage Solution
June 21, 2023
Share this

ThinkData Works launched a new data lineage solution that allows companies to better visualize data flows, improving efficiency and observability for an organization’s entire data ecosystem.

The offering provides a comprehensive view of data pipelines, displaying an active graph of data lineage from warehouse to model and letting users analyze and explore pipelines to ensure quality, limit risk, and reduce cost.

The new tool will provide critical visibility into data relationships, enabling upstream and downstream monitoring of data pipelines for rapid impact analysis, quality control, and enhanced governance. The solution, which uses ThinkData’s powerful data catalog to predict lineage relationships between datasets, is supported by ThinkData Works’ characteristically intuitive user interface.

Rather than modeling the entirety of the data catalog in a single view, ThinkData Works’ solution emphasizes the inspection of data pipelines, products, and relationships, giving users the freedom to analyze the composition of these relationships and quickly pinpoint risks and dependencies. Prioritizing efficiency, increased time savings, and reduced cost, ThinkData Works’ data lineage solution differentiates itself by providing a focused and easy-to-navigate interface that encourages analysis by both technical and business users.

“When we started thinking about how we’d build a lineage solution, we knew exactly what we didn’t want to do,” says Lewis Wynne-Jones, VP Product at ThinkData Works. “We’ve seen too many lineage solutions that demo well but completely fall apart when they’re dropped into a production environment. In order to be truly useful, data lineage needs to be clear, practical, and easy-to-interpret. We tested our solution against pipelines generating models out of thousands of datasets and within minutes were able to spot dependencies and risks that we’d never seen before. That was when we knew we’d built something incredible.”

Increasingly, lineage solutions are used to support transparency and governance for data-driven organizations that have data from many different environments feeding into downstream analysis, business intelligence tools, and models. Data lineage provides a lens into where data originates, how it is transformed over time, and where it ends up, giving organizations that use lineage solutions critical information that increases efficiency, ensures trust, and enables innovation.

“Existing data lineage products don’t do enough to help users track and manage their data — we’re bridging the gap that will bring lineage from a compliance requirement to a practical part of data workflows,” said Bryan Smith, Co-founder and CEO of ThinkData Works. “The primary focus of a data lineage solution should be to inform users on how data is built, where it’s coming from, and what happens to it over time. Our new offering enables users to unlock the full potential of their data to stay ahead in a rapidly evolving business landscape.”

In May, ThinkData Works introduced new platform capabilities to support data virtualization from 40+ data sources, improving their unique position as a data catalog solution that enables both data and metadata management. With the launch of data lineage functionality, ThinkData Works’ platform now enables users to connect to data where it resides, manage metadata, govern use, integrate seamlessly, and better analyze data health and quality from a single platform, bringing error triage, reporting, and auditability to organizations without adding overhead or the need for new specialists and costly processes.

Share this

The Latest

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...