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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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The hidden history of Db2

IBM Big Data Hub

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. Data security & governance . Vektis improves healthcare quality through data . Store and query more than just traditional structured data with multi-model capabilities.

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What Separates Hybrid Cloud and ‘True’ Hybrid Cloud?

Cloudera

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. What do we mean by ‘true’ hybrid? Let’s dive deeper.

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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

Discussions with users showed they were happier to have faster access to data in a simpler way, a more structured data organization, and a clear mapping of who the producer is. A lot of progress has been made to advance their data-driven culture (data literacy, data sharing, and collaboration across business units).

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You Cannot Get to the Moon on a Bike!

Ontotext

This will allow enterprises to derive insights from their disparate databases, integrate external knowledge for better interpretation of their data, and incorporate information extracted from unstructured content. In order to integrate structured data, enterprises need to implement the data fabric pattern.

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Get maximum value out of your cloud data warehouse with Amazon Redshift

AWS Big Data

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department. Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.