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Data Warehouses: Dead or Alive? Maybe Just Reinvented

The Demise of the Data Warehouse vs. The Data Warehouse is Still Alive

Steve Smith's July post about the Demise of the Data Warehouse and Dave Wells' response that the Data Warehouse is Still Alive has us thinking about the historical context for data warehousing provides some insight into its presumed mortality and what the future holds. + Read More

Review: SQL Server 2017 adds Python, graph processing and runs on Linux

At almost 30 years of age, Microsoft's flagship database has learned many new tricks

Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At a recent conference Microsoft announced the availability of a new version of its operational database, SQL Server 2017. SQL Server is a product I have worked with for nearly my entire career. I started with version 4.2 for Windows in 1993 and have worked with and carefully reviewed each subsequent release, including this one. + Read More

Big Data for Small Business: What to Look At and How to Use It

Using big data for small business can help rapidly become larger and more successful

Information is everything in the digital world of today. It's obvious from the fact that US economy alone loses $3.1 trillion a year because of poor data management. It's also estimated that an average business loses up to 35% of revenue because of bad data. These numbers show that big data has tremendous potential for businesses. It's especially so for small-to-medium businesses that must get every possible inch of competitive advantage to attract customers. + Read More

How Walmart Is Using ML, AI, IoT & Big Data To Boost Retail Performance

Even though Walmart was founded in 1962, it's on the cutting edge

Particularly when it comes to transforming retail operations and customer experience by using machine learning, the Internet of Things (IoT) and Big Data. In recent years, its patent applications, position as the second largest online retailer and investment in retail tech and innovation are just a few reasons they are among the retail leaders evolving to take advantage of tech to build their business. + Read More

6 data modeling best practices for better business intelligence

It's crucial to understand data modeling when working with big data

Although specific circumstances vary with each attempt, there are best practices to follow that should improve outcomes and save time. Here are six of them. + Read More

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Derrick Martins (Founder) and David Callahan (Editor)

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