Financial companies are often leaders in data-driven practices. We explore how to avoid or overcome three common data challenges these providers face.
- By Stan Pachura, Shikha Verma
- August 15, 2016
Gartner's Merv Adrian dropped a bombshell last month, predicting that Hadoop as we know it may soon cease to exist.
- By Steve Swoyer
- August 15, 2016
Quantum computing is still more theory than practice, but it might answer questions that are unsolvable by current computers. Earlier this year, IBM made a small quantum computer available via the cloud.
- By Lindsay Stares
- August 12, 2016
Find out why you should de-identify certain kinds of big data, what problems to watch for with big data security, and why you should be using unstructured data.
- By Quint Turner
- August 12, 2016
In these articles, read the pros and cons of choosing a data lake versus a data warehouse, learn how to manage the growing flood of data, and understand the basic principles and tools of modern BI.
- By Quint Turner
- August 11, 2016
Do you know what skills make different analytics practitioners more valuable to an employer? Here's advice on reaching the next level so you can compete for the most coveted jobs.
- By David Loshin
- August 11, 2016
Are you going on a summer road trip or just driving to work today? These maps use huge data sets to show commuting distance and direction, the perceived safety of city streets, and the density of traffic fatalities.
- By Lindsay Stares
- August 10, 2016
Today learn how to use big data for customer profiling and marketing, how to use data analytics with social media marketing, and what background goes into pursuing a career as a data scientist.
- By Quint Turner
- August 10, 2016
Do "Band-Aid" approaches always seem to become the permanent solution? You need to avoid shortcuts to ensure a strong foundation in your data architecture.
- By Wes Flores
- August 10, 2016