Remove Data Architecture Remove Data Governance Remove Unstructured Data
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Five Modern Data Architecture Trends

David Menninger's Analyst Perspectives

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data.

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5 Ways Data Modeling Is Critical to Data Governance

erwin

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. So here’s why data modeling is so critical to data governance.

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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. . This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. The telco industry has also increased its spend by 48% on similar initiatives. .

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

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SAP enhances Datasphere and SAC for AI-driven transformation

CIO Business Intelligence

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

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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. Data comes in many forms. Let’s dive deeper.

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Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

Achieving this requires a comprehensive upgrade across five dimensions of data intelligence — data architecture, data governance, data consumption, data security, and data talent. Mr. Cao noted the specific problem of unstructured data. “A

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