Category: Business Intelligence

Intel’s distribution of Python, created in collaboration with Anaconda, is billed by the hardware giant as a distribution created for performance. Specifcally, the numerical performance demanded by scientific research and machine learning. Claims are bandied about referring to Python that executes at machine-language speeds, but does Intel Python really deliver? I won’t use the word […]

Templates are great for word processors and spreadsheets; they save time and enforce consistency. Templates are great for Power BI, too, but Power BI templates must solve a minor complication not faced by its sister Office applications. The measures, columns, and visualizations that collectively constitute a Power BI report are based on a specific data […]

If your server racks are anything like mine, they look impressive and powerful, clean and efficient. From the front, that is. Look behind the rack and there is a tangled rat’s nest of power cables, network connections, and those big clumsy things connecting to KVM switches. It’s worse on the inside. Data platforms and software […]

The tabular mode data storage used by Power BI, Power Pivot, and the SQL Server Analysis Services thrives on sufficient memory. Take away memory and performance plummets. You may be wasting memory and thus performance if you do not take advantage of opportunities to trim excess fat when you are first importing your data. And, […]

Great! You’ve created a promising machine learning model using AzureML Studio. How do you make it available to colleagues for practical use? In Microsoft-speak, how do you “operationalize” it? The AzureML Studio makes it very easy to convert an existing experiment into an Azure web service that can be accessed from any application that supports […]