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Data Virtualization: A flexible, Agile, and Cost-Effective Solution

Data Virtualization

The volume of data, both structured and unstructured, continues to grow exponentially, and organizations continue to struggle to leverage all of the data to make the best business decisions. The usual solution, until a few years ago, was to set.

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The DataOps Vendor Landscape, 2021

DataKitchen

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

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Start DataOps Today with ‘Lean DataOps’

DataKitchen

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. An essential part of the DataOps methodology is Agile Development , which breaks development into incremental steps. Figure 1: The four phases of Lean DataOps. Production DataOps.

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. Summary AI devours data. I believe that the time, place, and season for artificial intelligence (AI) data platforms have arrived. AI Then and AI Now!

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Multicloud by design approach simplifies the cloud experience

CIO Business Intelligence

Challenges in APAC’s Multicloud Adoption Journey Organisations in Asia Pacific (APAC) are looking at multicloud solutions to help them navigate IT management complexity, digital skills gaps, and limited data and application visibility. It can also improve business continuity and disaster recovery and help avoid vendor lock-in.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

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