Apache Hadoop: A cheat sheet
Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.
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Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.
This comprehensive guide covers how the IBM Watson data analytics processor works, and how it helps customers in various industries make critical decisions.
IBM Watson is the most well-known example of predictive analytics in use. If your company wants to benefit from predictive analytics, here's what you need to know.
Have you been considering a database migration to SAP's HANA database management system? Here's everything you need to know about it.
Find out how Hershey leveraged the Internet of Things, cloud computing, machine learning, and big data to regulate production at its factories, without hiring a data scientist.
When it comes to privacy, big data analysts have a responsibility to users to be transparent about data collection and usage. Here are ways to allay users' concerns about privacy and big data.
IBM Machine Learning leverages parts of Watson to help train and deploy analytics models in the private cloud, to first be used with the IBM z System Mainframe.
RethinkDB hit the skids, but not because MongoDB. Instead, the cloud is to blame.
IT decision makers don't have to start from scratch when it comes to analytics. Find out some analytics best practices for small, midsize, and large businesses.
IBM Watson and Columbus Collaboratory recently partnered on CognizeR, an open-source R extension that lets data scientists using R more easily use Watson tools.
Even though MongoDB and Cassandra keep winning converts, enterprises are keeping their RDBMSes around, and will do so for quite some time.
A data lake is a set of unstructured information that you assemble for analysis. Deciding which information to put in the lake, how to store it, and what to make of it are the hard parts.
Big data analytics is one of the fastest growing fields in enterprise technology. Here are the best places to study in the field.
A measurement error will undermine the good efforts of your data science team and exacerbate quality problems. Learn how to eliminate or reduce these errors.
A Gartner survey on Hadoop is encouraging, says Andrew Brust, given that it's not fully in the hands of enterprise users. Here's what he thinks can change that.