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Data Governance at the Edge of the Cloud

Dataversity

Online security has always been an area of concern; however, with recent global events, the world we now live in has become increasingly cloud-centric. With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […].

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

Data governance challenges Maintaining consistent data governance across different systems is crucial but complex. Some of these tools included AWS Cloud based solutions, such as AWS Lambda and AWS Step Functions. Implementing uniform policies across different systems and departments presents significant hurdles.

AWS 82
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them.

Analytics 203
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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

Databricks is an ideal tool for realizing a Data Mesh due to its unified data platform, scalability, and performance. It enables data collaboration and sharing, supports Delta Lake for data quality, and ensures robust data governance and security. Each applications has its own data model.

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Driving Business Value and ROI from a Hybrid Cloud Data Lake

Alation

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. With an on-premise deployment, enterprises have full control over data security, data access, and data governance.

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What Is Data Modernization? 5 Benefits Worth Knowing

Alation

In that sense, data modernization is synonymous with cloud migration. Modern data architectures, like cloud data warehouses and cloud data lakes , empower more people to leverage analytics for insights more efficiently. What Is the Role of the Cloud in Data Modernization?