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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

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Very Meta … Unlocking Data’s Potential with Metadata Management Solutions

erwin

As a result, the applications and initiatives that depend on a solid data infrastructure may be compromised, leading to faulty analysis and insights. Metadata Is the Heart of Data Intelligence. Harvesting data – Automate the collection of metadata from various data management silos and consolidate it into a single source.

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If Johnny Mnemonic Smuggled Linked Data

Ontotext

Let’s imagine Johnny Mnemonic – Keanu Reeves’ character from the cyberpunk action thriller movie of the same name – who is carrying a data package inside his head. He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. 6 Linked Data, Structured Data on the Web.

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If Johnny Mnemonic Smuggled Linked Data

Ontotext

Let’s imagine Johnny Mnemonic – Keanu Reeves’ character from the cyberpunk action thriller movie of the same name – who is carrying a data package inside his head. He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. 6 Linked Data, Structured Data on the Web.

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Data platform trinity: Competitive or complementary?

IBM Big Data Hub

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.