Since publishing our series on autonomous vehicles, there's much to report, including a new policy highlighting data sharing to improve safety.
- By Barry Devlin
- October 5, 2016
Data visualization is ideal for a complex subject such as climate change. These pieces are strong examples of how charts and animations can portray large numbers and trends.
- By Lindsay Stares
- October 5, 2016
In a world of information overload, analytics professionals have to focus on delivering consumable analytics. Visualizations and alert systems allow users to more easily consume and use data.
- By Troy Hiltbrand
- October 4, 2016
Why infrastructure trumps analytics, getting insight more easily from IoT data, and how to protect yourself from ransomware.
- By Quint Turner
- October 4, 2016
O’Reilly Media has released an interesting new data science salary survey. The authors actually used data science to analyze the survey data and even provided information about their model for further exploration.
- By Lindsay Stares
- October 4, 2016
Details of six popular analytics trends discussed at Strata Hadoop World that employ advanced analytics and/or make data consumable.
- By Fern Halper
- October 3, 2016
When you select any technology product, you need to do a thorough evaluation. Here are six important considerations for evaluating an advanced analytics product.
- By Lakshmi KP
- October 3, 2016
Data quality on Hadoop is becoming more important as more critical data is being stored there. Consider the automation and performance advantages of an on-Hadoop data quality solution which cleanses data without it ever leaving the cluster
- By Jake Dolezal
- October 3, 2016
Advice for better IoT security, how to make IoT devices simpler and safer for consumers, and 10 ways IoT and traditional data science differ.
- By Quint Turner
- October 3, 2016