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Tigerspike is a global digital products company specializing in strategy, design, development and systems integration...
whitePaper | May 26, 2022
Since their invention in 1970 by Edgar Codd, relational databases have served as the default data store for almost every IT organization, large or small. Today, the most iconic and familiar relational databases include IBM DB2, Oracle Database, Microsoft SQL Server, PostgreSQL, and MySQL.
whitePaper | April 7, 2022
This white paper was created to outline best-practices for measuring, reporting, and building a constant stream of key performance indicators related to your physician network.
whitePaper | February 7, 2020
The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.
whitePaper | October 3, 2022
C-Level executives, do you often feel that you spend a significant amount of time and resources managing costs? Or do you often wonder about the impending costs on IT assets and how to optimize them? Gartner, in a recent survey, has expected that IT services are going to raise this year, with the projected IT spending growth rate being 5.5.% for 2023. With soaring expenses, you need to find alternative tactics to reduce the burden of IT expenses.
whitePaper | August 20, 2021
While finding and creating insights can often feel like luck, there are proven methodologies you can use to ensure you’re seeing regular insight from your on-hand data. Access this short e-book to learn how you can start seeing regular, valuable insight success from you big data and analytics investments.
whitePaper | June 2, 2022
Data lakeshold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.
Data lakes hold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.
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