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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. The 5 Pillars of Data Quality Management.

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Top 6 Benefits of Automating End-to-End Data Lineage

erwin

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business. defense budget.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Increase trust in AI outcomes.

Risk 78
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Turnkey Cloud DataOps: Solution from Alation and Accenture

Alation

So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? This platform can be implemented in a cost-effective serverless cloud environment and put to work right away. In essence, Alation is acting as a foundational data fabric that Gartner describes as being required for DataOps.

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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Existing NiFi users can now bring their NiFi flows and run them in our cloud service by creating DataFlow Deployments that benefit from auto-scaling, one-button NiFi version upgrades, centralized monitoring through KPIs, multi-cloud support, and automation through a powerful command-line interface (CLI). Enabling self-service for developers.

Testing 96
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Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation

AWS Big Data

Transaction data lake use case Amazon EMR customers often use Open Table Formats to support their ACID transaction and time travel needs in a data lake. Another popular transaction data lake use case is incremental query. Besides demonstrating with Hudi here, we will follow up with other OTF tables with other blogs.

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Alation 2023.1: Easing Self-Service for the Modern Data Stack with Databricks and dbt Labs

Alation

Now, joint users will get an enhanced view into cloud and data transformations , with valuable context to guide smarter usage. Integrating helpful metadata into user workflows gives all people, from data scientists to analysts , the context they need to use data more effectively.