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ThinkData Works Releases Data Lineage Solution

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.

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ThinkData Works Releases Data Lineage Solution

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.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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