Remove 2013 Remove Business Intelligence Remove Data Warehouse
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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. Visual analytics analyzes data sets and visualizes data for better data-driven decision making.

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SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Astera

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

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SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Astera

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. 2013: Google launches Google Compute Engine (IaaS), its own version of EC2. There is Alibaba Cloud, Turbonomic, Terremark etc. About BizAcuity.

IBM cost 130
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4 New Year’s BI Data Resolutions You Can’t Fail to Keep

Domo

” Fortunately, there are business intelligence resolutions that you can set with confidence. If you’re already feeling guilty about your New Year’s diet plan, try some of these cloud BI resolutions on for size: “I will get my data in real time.” I will access my data on my mobile device.” Data warehouses are dead.

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HBR to marketers: “You’re spread too thin.”

Domo

It is impossible to solve marketing’s new data jigsaw puzzle with old technologies (the subheadline to HBR’s article actually declares, “Most marketers are stuck in the last century”). Spreadsheets, data warehouses and desktop analytics are built for static consumption of marketing data—in other words, what you see is what you get.

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The Future Belongs to Purpose-Built Apps. We're Betting On It.

Juice Analytics

But as you extend to the outer edges of your organization, data becomes distracting noise, TPS reports , and little-used business intelligence tools. Three barriers to democratizing data The struggle of getting data to more people in more useful ways boils down to a few unsolved problems. from way back in 2013).