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Why Your Master Data Management Needs Data Governance

Precisely

With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises.

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. We need to get to the root of the problem. We briefly summarise each challenge below. Find out more.

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Automate SAP® Processes for Agility, Resiliency, and Success

Precisely

That’s where Precisely Automate comes in – a no-code, low-code solution that helps you accelerate your business processes and improve your data. Use case and demo #2: automating data management Next, let’s talk about transforming the everyday processes that matter most, with simple, real-time SAP data extraction.

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AWS Certified Solutions Architect Associate Books for 2024

Knowledge Hut

Additionally, these tasks include data storage, payment receipts, emailing, big data management, sending push notifications, etc. Each account must be connected to a security group, which sets access rights, according to AWS. This book offers instructions on how to set up DNS, NAT, Firewalls, and Access Control Lists.

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Recap of Hadoop News for October

ProjectPro

News on Hadoop-October 2016 Microsoft upgrades Azure HDInsight, its Hadoop Big Data offering.SiliconAngle.com,October 2, 2016. product Azure HDInsight is a managed Hadoop service that gives users access to deploy and manage hadoop clusters on the Azure Cloud. Trends in Big Data Research.”

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Do You Manage Your Data Debt Alongside Your Technical Debt?

The Modern Data Company

Like technical debt, data debt represents the liability accrued over time by inefficient and outdated methods and technologies for handling corporate data. It is important to note that data debt has methodological and technological components. Data management technologies grow old and out of date.

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Data-driven competitive advantage in the financial services industry

Cloudera

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

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