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When Data Warehousing Met the Events Industry

BizAcuity

The world’s an eventful place, isn’t it? When we say ‘eventful’, we mean, there are some many things happening around the world, every day, every minute, and they are all happening as glamorous, lavish and big events – be it a phone launch, a mega concert, fairs and so on. Who’s coming?

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What did we learn at the SAP UK “The Journey To The Top” Event?

Timo Elliott

I recently had the honor of delivering the keynote at the “The Journey to the Top” Event at SAP UK headquarters, and you can see my slides and a video in my previous post How Data is Powering The Future of Business: Trends and Opportunities. People, collaboration, and ease of use.

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Webinar: Visualising Your Azure SQL Data Warehouse with Power BI

BI Insight

You can register and subscribe for Pass upcoming events here. Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI. The post Webinar: Visualising Your Azure SQL Data Warehouse with Power BI appeared first on BI Insight. You can register here.

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Webinar: Visualising Your Azure SQL Data Warehouse with Power BI

BI Insight

You can register and subscribe for Pass upcoming events here. Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI. The post Webinar: Visualising Your Azure SQL Data Warehouse with Power BI appeared first on BI Insight. You can register here.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Some solutions provide read and write access to any type of source and information, advanced integration, security capabilities and metadata management that help achieve virtual and high-performance Data Services in real-time, cache or batch mode. How does Data Virtualization complement Data Warehousing and SOA Architectures?

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? Data Mining is an important research process. Practical experience.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation.