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Alation + Soda: Dynamic Data Quality with the Data Catalog

Alation

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Does the quality of this dataset meet user expectations?

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DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps

DataKitchen

Webinar: Beyond Data Observability: Personalization DataKitchen DataOps Observability Problem Statement White Paper: ‘Taming Chaos’ Technical Product Overview Four-minute online demo Detailed Product: Documentation Webinar: Data Observability Demo Day DataKitchen DataOps TestGen Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’ (..)

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Erwin Data Intelligence: A Data Partner’s Perspective

erwin

And truth must be told, the demo of erwin Data Intelligence left us impressed. There’s a multitude of capabilities that come to play in terms of evaluating metadata management tools, which would be more than we could cover here, but I will focus on two major areas: the business glossary and data lineage.

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Detect Accounting Fraud with AI

DataRobot

Note that DataRobot also automatically runs Data Quality Assessments on the dataset to identify and remedy potential data quality issues. To request a fraud detection demo shown in this blog post, contact us and we’ll explore a proof of value together. Request a Demo. See DataRobot in Action.

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Data Governance Maturity and Tracking Progress

erwin

Or are you looking to reduce data management costs and improve data quality through formal, repeatable processes? Whatever your motivation, you need to identify it first and foremost to get a grip on data governance. used erwin Data Intelligence for its digital transformation and innovation efforts. Request Demo.

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Synthetic data generation: Building trust by ensuring privacy and quality

IBM Big Data Hub

It automatically identifies vulnerable individual data points and introduces “noise” to obscure their specific information. Although adding noise slightly reduces output accuracy (this is the “cost” of differential privacy), it does not compromise utility or data quality compared to traditional data masking techniques.

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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

Seeing data pipelines and information flows further supports compliance efforts. Data Quality. Data quality is affected by data’s movement, transformation, interpretation and selection through people, process and technology. Root-cause analysis is the first step in repairing data quality.

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