Big Data Trends for 2017: Hadoop Meets Machine Learning
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to
Traditional BI tools can't deal with big, fast
The Internet of Things has opened a greater need for master data
A 55-page report on the state of enterprise Hadoop adoption, including vendors, use cases, and
A data lake needs to be fed and governed properly before analytics can discover kernels of
Running Spark on the mainframe can be advantageous because data is co-located. One use is fraud
Companies will turn to faster databases, predictive analytics, and machine learning.
Opportunities abound to sell customer data related to transactions and product usage, but companies must be sure that data is
Why erasure coding replaces RAID for big data
An extreme transaction processing system could be used for anything from mobile app purchases to ecommerce and the Internet of