Remove Data Governance Remove Machine Learning Remove Metadata Remove Uncertainty
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The state of data quality in 2020

O'Reilly on Data

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Just 20% of organizations publish data provenance and data lineage. Adopting AI can help data quality.

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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Data ingestion through ‘s3’. Ozone Namespace Overview.

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5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

It isn’t practical to save all your data, but it is important to realize data may be valuable for other projects. You lose that add-on value when you throw data away. . This type of data waste results in missing out on the second project advantage. You have data but don’t use it.

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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

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Implementing Data Governance in the Manufacturing Industry

Alation

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. With so much economic uncertainty, coupled with the unrelenting advance of “Industry 4.0” What are the benefits of data governance in manufacturing? Here’s how.

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Defining data privacy, residency and sovereignty in the cloud

CIO Business Intelligence

Data sovereignty is the ability to maintain legal control and authority of the data within the defined nation’s jurisdictional boundaries. This includes data flows and subsequent processing of that data located within the jurisdictional boundary in question. Data Governance, IT Leadership

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Defining data privacy, residency and sovereignty in the cloud

CIO Business Intelligence

Data sovereignty is the ability to maintain legal control and authority of the data within the defined nation’s jurisdictional boundaries. This includes data flows and subsequent processing of that data located within the jurisdictional boundary in question. Data Governance, IT Leadership