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DataOps For Business Analytics Teams

DataKitchen

Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. In business analytics, fire-fighting and stress are common.

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DataKitchen’s 2020 Honors & Awards

DataKitchen

DataKitchen is a pioneer in the realm of DataOps, the concept of managing data analytics processes like an assembly line instead of the cumbersome, ad hoc processes found within many businesses. The company’s platform manages the data pipeline through data engineering, data science and business analytics processes.

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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. Intel® Technologies Move Analytics Forward. Learn more at [link]. .

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The latest edition of The Data & Analytics Dictionary is now out

Peter James Thomas

Business Glossary (contributor: Tenny Thomas Soman ). Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Chart (Graph).

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

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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.

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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.