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DataOps For Business Analytics Teams

DataKitchen

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. The data analytics function in large enterprises is generally distributed across departments and roles. Figure 1: Data analytics challenge – distributed teams must deliver value in collaboration.

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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

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2020 Data Impact Award Winner Spotlight: United Overseas Bank

Cloudera

At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . One of our stand out moments of the awards was the introduction of the “Data Impact Achievement Award”. As an organisation, UOB has proven its fundamental understanding that the future is data-driven.

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Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. The Opportunity of 5G For telcos, the shift to 5G poses a set of related challenges and opportunities.

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Eight Top DataOps Trends for 2022

DataKitchen

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it. Data Gets Meshier. Companies Commit to Remote.

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

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Analytics is changing. How are you keeping pace?

CIO Business Intelligence

Analytics have evolved dramatically over the past several years as organizations strive to unleash the power of data to benefit the business. Break down internal data silos to create boundaryless innovation while enabling greater collaboration with partners outside of their own organization.

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