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How data, AI and automation can transform the enterprise

IBM Big Data Hub

These areas can transform the enterprise, from cost savings to revenue growth to opening new business opportunities. Building the foundation: data architecture. Collecting, organizing, managing, and storing data is a complex challenge. A fit-for-purpose data architecture underpins effective data-driven organizations.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 billion in 2020?

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis. With Stripe Data Pipeline for Amazon Redshift, we’re helping our customers set up a direct and reliable data pipeline in a few clicks.

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Building a Beautiful Data Lakehouse

CIO Business Intelligence

It’s a modern repository that stores all structured, semi-structured, and unstructured data as a data lake does. However, it also supports the quality, performance, security, and governance strengths of a data warehouse. This dual-system architecture requires continuous engineering to ETL data between the two platforms.

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Announcing the 2020 Data Impact Award Winners

Cloudera

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Champions . Winner: OVO.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This results in more marketable AI-driven products and greater accountability.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy.

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