Big data architecture
As enterprise organizations begin to collect massive amounts of data and to begin to find ways to capitalize on that data, enterprise application developers are increasingly being asked to build big data architecture. Developing effective big data strategies that can go beyond processing big data in big batches and bring the enterprise into real-time big data analytics is a heavy challenge. Big data frameworks such as Hadoop can be very helpful, but at this point, enterprise architects need a thorough understanding of basics of big data.
The challenge of managing distributed data can only be solved with NoSQL solutions
18 May 2015
Feature - Managing data over large geographic areas where latency and reliability problems exist is a major challenge for relational databases, but fortunately, NoSQL databases are solving the problem of managing distributed data.
A new approach to condensing data leads to a 99% compression rate
07 May 2015
Feature - Given the enormous thirst for data, coupled with the finite existence of copper and fiber optic cables that link clients and servers together, the need for powerful compression algorithms is self-evident. Has XLABS solved the problem with a 99% rate?...
Will ObjectLayout's StructuredArrays finally solve the Java performance problem?
18 Mar 2015
Feature - Java performance has greatly improved over the years, but getting true, linear scalability has always been a problem, largely due to the way data collections are handled in memory. However, new approaches to memory management are being developed, and...
Growing the demand for NoSQL technology, and non-relational solutions
30 Jan 2015
Feature - While relational databases have been the stalwart of enterprise computing, more and more organizations are looking at NoSQL solutions that will free them from many of the constraints of a relational database system.
Going beyond big data processing to achieve big data understanding
04 Dec 2014
Feature - Big data solutions have given enterprises the power to handle, manage and process massive amounts of information, but how do organizations extract meaning from that information? Big data architecture is evolving to do just that.
From web development to delivery: Deep front end knowledge is a must for 2015
02 Dec 2014
Feature - Web based deliver will be taken to new levels in 2015, as the technology used to deliver content over the web will actually become the technology used to built it as well, as development tools take to the web.
Comparing of the cloud storage Titans: Amazon S3 versus Microsoft Azure
25 Aug 2014
Feature - There are many vendors out there fighting for your cloud based storage space, with the two biggest being Microsoft Azure and Amazon's S3 offering. Here we compare the two to help you figure out which cloud storage solution is right for you.
How a growing demand for data tier scalability spawned the NoSQL movement
25 Aug 2014
Feature - There was a time when even the suggestion of storing an organization's data in anything but a relational database would seem foolish. But NoSQL has flipped that equation on its head, as organizations who are looking for speed and scalability are looking...
The self-service BI proposition: How big data is disrupting business intelligence
09 Aug 2014
Feature - Massive amounts of data are being crunched in order to provide business intelligence to managers and directors so they can make the right decisions for their organizations. Here we look at how big data is turning BI into a self-service proposition.
Top 5 Java based tools for capturing business intelligence (BI)
28 Jul 2014
Feature - There are many tools out there for working with BI, but here we look at the top five Business Intelligence tools that are written using the Java language.