6 myths about big data
Advances in cloud computing, data processing speeds, and the huge amount of data input from sources like IoT mean that companies are now collecting previously
Advances in cloud computing, data processing speeds, and the huge amount of data input from sources like IoT mean that companies are now collecting previously
At some point, your business or IT leaders will decide – enough is enough; we can’t live with the performance, functionality or cost of the current application
Data lakes are a still-evolving way for companies to better leverage Big Data. Understanding data lake use cases is a good starting point. Data lakes
When you spend long enough writing and working in any industry, you inevitably see trends emerge and reach varying levels of maturity. Data governance is
About a year ago on this site, I penned a post titled “Analytics lessons from Amazon.” In it, I described the analytics lessons that employees and
There’s no shortage of talk today about newfangled tools, technologies and concepts. The Internet of Things, big data, cloud computing, Hadoop, and countless other new
Cloud computing, virtualization, and the need to analyze non-relational data types are all driving disruption in the data warehouse market. Here’s a look at how
In mid-2014, a pair of Gartner analysts levied some trenchant criticisms at the increasingly hyped concept of data lakes. “The fundamental issue with the data
Data warehouses offer a window into an organization’s historical performance and ongoing operations, providing data analysts and business users with information on things such as