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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 datawarehouses or data lakes which are expensive to build and maintain. BizAcuity [ISO 9001:2015, 27001:2013 certified], is a data analytics consulting company.
Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server datawarehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based datawarehouse in detail, but first, let’s quickly get the basics out of the way.
Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server datawarehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based datawarehouse in detail, but first, let’s quickly get the basics out of the way.
And how this transformation will impact businesses in the short and long run is the main discussion in this blog. 2012: Amazon Redshift, the first of its kind cloud-based datawarehouse service comes into existence. Fact: IBM built the world’s first datawarehouse in the 1980’s. More on Kubernetes soon.
Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. The answer is “cloud-first analytics.”
We have been recognized for implementing, maintaining, and operating an Information Security Management System that complies with the requirements of the standard ISO/IEC 27001:2013. We met with a number of industry leaders and demonstrated our unified, end-to-end data management platform, Astera Data Stack.
A cloud-based CRM platform, such as Salesforce , empowers businesses to integrate their databases, datawarehouses, and cloud-based services like SharePoint to create a 360-degree customer view. Although it also worked with SharePoint 2013 (on-premises) , the latest documentation contains no pertinent information.
With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 What’s New in Data Vault 2.0? Data Vault 2.0: to new heights.
Data Vault 2.0 modeling methodology has gained immense popularity since its launch in 2013. It’s a hybrid model that combines the benefits of Third Normal Form (3NF) and star schema architectures, making it a dream solution for data warehousing engineers. But is it worth implementing for your datawarehouse architecture?
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