Enterprise data architecture best practices News
October 06, 2016
What's in your toolbox? October's issue of Business Information turns the tables and puts that burning question to Capital One and several other business intelligence and data analytics software users. As the burgeoning worlds of ...
September 30, 2016
Users increasingly are eyeing the cloud for big data management and analytics applications, and IT vendors are moving to ease the process -- and the price -- of running Hadoop in the cloud.
July 06, 2016
Hadoop management is becoming a bigger priority for big data users and vendors alike as the distributed processing framework plays a more central role in the business operations of organizations.
June 10, 2016
Now is the time for businesses to think about putting in place machine learning applications to benefit from this hot advanced analytics technology trend.
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Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Continue Reading
Choosing the right ETL tool for your data integration requirements can be a challenge. Here's a rundown on what to look for in ETL software and potential vendors to consider. Continue Reading
Billions of IoT devices means there's a lot of data to process. Start crafting edge computing strategies now to lessen the impact on your network, advises an expert. Continue Reading
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Cambridge Semantics CTO Sean Martin says better scalability can lead to richer representations of data. Such advances are behind the renewed interest in semantic technology. Continue Reading
Ovum analyst Tony Baer discusses machine learning tools, IoT-driven streaming analytics and Hadoop in the cloud, all of which gained attention in 2016, with more likely in store for 2017. Continue Reading
Spark's draw has gone beyond its batch processing speed. Find out why more than 500 organizations, including Webtrends and Synchronoss Technologies, have turned to the technology. Continue Reading
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While cloud computing may be convenient and more cost-effective for users, it can also lead to new challenges and requirements in regard to integrating and processing data. Continue Reading
Graph databases can help define and discover relationships between entities -- and offer increased flexibility and better usability than relational database management systems. Continue Reading
A move to fast data analytics and real-time processing could bring change to the big data pipeline. Microservices are edging into a mostly monolithic Hadoop domain. Continue Reading
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Hadoop and all the related technologies surrounding it enable organizations to design big data environments that meet their specific needs. But putting everything together isn't easy. Continue Reading
Internet of things networks and predictive analytics tools can help manufacturers improve product quality, increase production uptime and optimize production cycles. Continue Reading
In the ever-burgeoning world of big data compounded by the cloud and internet of things, NoSQL database technology is gaining popularity as perhaps a solution to scalability and performance issues that relational databases and the SQL programming ... Continue Reading