Data is the key “raw material” driving businesses today, and it is ushering us into the next revolution. New manufacturing processes in the 1700s and 1800s completely transformed how goods were… Read more »
Data analysts have plenty of tools for business intelligence, data discovery and visualization. Self-service is almost a given, and cloud options abound. So how can BI get to the next stage,… Read more »
In the new world of “data lakes,” where raw data is collected for subsequent discovery and analysis, lies the task of managed data ingestion. While data lakes may dispense with the… Read more »
Machine Learning has been around for well over a decade and, with the rise of “Big Data” analytics, has become especially prominent in the last few years. Many companies are now… Read more »
Big Data is still in its early stages of life; to get to the next stage, its integration with core enterprise technologies needs to get better. Chief among the enterprise environments… Read more »
Hadoop is critical to most Big Data infrastructures, but taking a do-it-yourself approach to setting up and managing your Hadoop clusters shouldn’t be a requirement. Using Hadoop as an engine makes… Read more »
Most developers know that social media streams produce a huge volume of data and can be used to discern trending topics and brand sentiment. While that may seem like a niche… Read more »
If you’re responsible for delivery of a .NET application and your users have analytics requirements, you have some decisions to make. Having your development team “roll its own” analytics functionality will… Read more »