Part 1 of this series showed that data needs the context of information to be useful. Here we explain why information alone is still insufficient.
- By Barry Devlin
- November 8, 2016
The RDBMS challenges of the 1980s are being replayed in the world of big data.
- By Luke Liang
- November 7, 2016
Data without context lacks meaning and purpose, but how is data different from information? Defining your terms is the first step to more insightful decisions.
- By Barry Devlin
- November 7, 2016
Mitigate future DDoS attacks by learning how manufacturers and users can improve IoT security, how Bluetooth technology may increase IoT security risks, and how IoT botnets are formed.
- By Quint Turner
- November 7, 2016
In their work, many data and business analysts spend the bulk of their time on data preparation tasks using a patchwork of tools. I visited with Manan Goel of Paxata to discuss how to reduce this overhead, how to weave together basic and advanced data preparation capabilities, and how analysts can be more efficient and effective in their work.
- By Jake Dolezal
- November 4, 2016
What does it take to be a data engineer? A background in software engineering doesn't hurt. Although the number of data engineers doubled from 2013 to 2015, that growth rate far outstripped that of data scientists.
- By Steve Swoyer
- November 4, 2016
Today read tips for landing a career in open source development, how to use analytics to improve customer interactions, and the highlights of a new benchmark study for analytics engines on Hadoop.
- By Lindsay Stares
- November 4, 2016
In some emerging best practices, a free-form data lake implemented on Hadoop complements a structured relational data warehouse.
- By Philip Russom
- November 3, 2016
Great data scientists need to be open to a wide variety of perspectives.
- By James E. Powell
- November 3, 2016