Data Governance Data Lake Digital Transformation Metadata 
erwin
OCTOBER 8, 2020
That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value. Why You Need Cloud Data Governance. Regulatory compliance is also a major driver of data governance (e.g., More and more companies are looking at cloud migration.
erwin
APRIL 2, 2021
How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.
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CIO Business Intelligence
APRIL 29, 2022
This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant. Further, data management activities don’t end once the AI model has been developed.
CIO Business Intelligence
OCTOBER 13, 2023
Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.
AWS Big Data
MAY 1, 2024
To transform Fujitsu from an IT company to a digital transformation (DX) company, and to become a world-leading DX partner, Fujitsu has declared a shift to data-driven management. Responsibilities include: Load raw data from the data source system at the appropriate frequency.
Data Virtualization
MARCH 28, 2024
Reading Time: 2 minutes The financial industry is in the midst of a profound digital transformation. As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. Unfortunately, most financial organizations have some catching up to do in this regard.
AWS Big Data
DECEMBER 21, 2023
To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.
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