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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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
A data engineer is a worker whose primary job responsibilities involve preparing data for analytical or operational uses. Continue Reading
Trying to get a handle on the future of the internet of things is tantamount to lassoing a wild horse. Sensors, appliances, vehicles, smart personal devices and industrial equipment are just some of the sources of IoT data pouring into the coffers ... Continue Reading
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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
Software companies Intuit and Novantas took deliberate approaches to deploying their first Spark clusters, limiting initial user access and looking for solid business uses in a 'surgical' way. Continue Reading
Data streaming into systems from IoT devices creates new potential for real-time analytics applications. But IoT data management basics need to be planned for first. Continue Reading
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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
Organizations aren't letting ongoing Apache Spark development, functionality holes or issues deter them from ramping up usage of the technology. Find out why. Continue Reading
Effectively governing the data stored in different systems across big data architectures is emerging as one of the keys to a successful deployment of Hadoop and related technologies. 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