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generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and DataGovernance application.
In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active datagovernance. So why are organizations not able to scale governance? Meet Governance Requirements.
Datagovernance is traditionally applied to structured data assets that are most often found in databases and information systems. The ability to connect straight to the source allows knowledge workers to work natively in spreadsheets, pulling data directly from true data sources like the datawarehouse or data lake.
Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate datagovernance and model bias risk with confidence. Public sector data sharing. The DataRobot and Snowflake platforms include extensive built-in trust features to enable explainability and end-to-end bias and fairness testing and monitoring over time.
Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market. The platform provides an intelligent, self-service data ecosystem that enhances datagovernance, quality and usability.
While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized datagovernance, and self-service access by consumers. Then you need to know more about data fabric architecture.
In that sense, data modernization is synonymous with cloud migration. Modern data architectures, like cloud datawarehouses and cloud data lakes , empower more people to leverage analytics for insights more efficiently. What Is the Role of the Cloud in Data Modernization? How to Modernize Data with Alation.
August 2020: Constellation Research names Alation to its Constellation Shortlist for Metadata Management, Data Cataloging & DataGovernance in Q3 2020 and Alation customer Cisco wins the Constellation SuperNova Award for Use of Alation for DataGovernance. Is Alation the GOAT of Data Catalogs?
It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include datagovernance, self-service analytics, and more.
For years, marketing teams across industries have turned to implementing traditional Customer Data Platforms (CDPs) as separate systems purpose-built to unlock growth with first-party data. Book a Demo The post What is a Customer Data Platform (CDP)? appeared first on phData.
The datawarehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Architectures became fabrics.
Data Quality Monitoring implements quality checks in operational data processes to ensure that the data meets pre-defined standards and business rules. This results in poor credibility and data consistency after some time, leading businesses to mistrust the data pipelines and processes. Contact phData Today!
Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads. . With
MDM is a discipline that helps organize critical information to avoid duplication, inconsistency, and other data quality issues. Transactional systems and datawarehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management.
After its 2021 acquisition of Heights Finance Corporation, CURO needed to catalog and tag its legacy data while integrating Heights’ data — quickly. Bringing together companies — and their data Alation: For you guys in data, it sounds like the acquisition was the easy part. Alation: Easier said than done.
Data Warehousing and ETL Processes What is a datawarehouse, and why is it important? A datawarehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.
Michael: I saw the actual product demo, and Aaron Kalb showed me a working version of Compose – our intelligent SQL editor. He also shared the data catalog, along with his vision for what Alation wanted the world of data to be and how that would solve pain points for people. At first I told him, no way!
Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys. People were familiar with the value of a data catalog (and the growing need for datagovernance ), though many admitted to being somewhat behind on their journeys.
Get a Demo Login Try Databricks Blog / Data Warehousing / Article Databricks at SIGMOD 2025 Databricks is proud to be a platinum sponsor of SIGMOD 2025 in Berlin, Germany. Enterprises want to apply fine-grained access control policies to manage increasingly complex datagovernance requirements.
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