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What’s the State of Data Governance and Empowerment in 2021?

erwin

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

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What’s the State of Data Governance and Empowerment in 2021?

erwin

erwin by Quest just released the “ 2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

With built-in features like time travel, schema evolution, and streamlined data discovery, Iceberg empowers data teams to enhance data lake management while upholding data integrity. Available for cloud and now also for the data center. And that’s also what makes Cloudera so unique.

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Don’t let your data pipeline slow to a trickle of low-quality data

IBM Big Data Hub

In addition to data observability, IBM clients can take advantage of use cases such as multicloud data integration, data governance and privacy, customer 360, and MLOps and trustworthy AI. Data observability will also integrate with these other use cases for improved results where both are applied.

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How IBM HR leverages IBM Watson® Knowledge Catalog to improve data quality and deliver superior talent insights

IBM Big Data Hub

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP). Data quality is also critical for data governance.

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“You Complete Me,” said Data Lineage to DataOps Observability.

DataKitchen

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

The financial KPI dashboard presents a comprehensive snapshot of key indicators, enabling businesses to make informed decisions, identify areas for improvement, and align their strategies for sustained success. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.