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Was ist ein Data Lakehouse?

Data Science Blog

Darüber hinaus können Data Governance- und Sicherheitsrichtlinien auf die Daten in einem Data Lakehouse angewendet werden, um die Datenqualität und die Einhaltung von Vorschriften zu gewährleisten. Wenn Ihre Analyse jedoch eine gewisse Latenzzeit tolerieren kann, könnte ein Data Warehouse die bessere Wahl sein.

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Alation + AWS Strengthen Partnership with Data & Analytics Competency

Alation

That’s why when it was announced that Alation achieved Amazon Web Services (AWS) Data and Analytics Competency in the data governance and security category, we were not only honored to receive this coveted designation, but we were also proud that it confirms the synergy — and customer benefits — of our AWS partnership.

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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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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

A well-documented case is the UK government’s failed attempt to create a unified healthcare records system, which wasted billions of taxpayer dollars. Dependency on service providers : Relying on third-party cloud service providers means your operations are dependent on their uptime and reliability.

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How Alation & Snowflake Integrate the Cloud Data Management Capabilities Framework (CDMC)

Alation

In 2019 the EDM Council decided that a new extension for managing sensitive data in the cloud was required, so they created the Cloud Data Management Capability (CDMC) working group. The working group produced a new Cloud Data Management Framework for sensitive data, which was announced earlier this month.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

Storing the Object-Centrc Analytical Data Model on Data Mesh Architecture Central data models, particularly when used in a Data Mesh in the Enterprise Cloud, are highly beneficial for Process Mining, Business Intelligence, Data Science, and AI Training. Click to enlarge!

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Data Management – Efficient data management is crucial for AI/ML platforms.

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