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.
NoSpinningDiscs: Why your NoSQL solution thirsts for SSDs
02 Mar 2014
Feature - Organizations are always looking for opportunities to tune their architecture. To achieve massive scalability, many organizations have turned to various NoSQL solutions. But to blend performance with that scalability, organizations need to start...
The three most common NoSQL mistakes you don't want to be making
02 Mar 2014
Feature - More and more organizations are using NoSQL to solve various data persistence problems. But sometimes the rush to use a new technology can cause problems. Here are three common NoSQL mistakes adopters of the technology will want to avoid.
Is it finally time to integrate a NoSQL solution into your enterprise apps?
01 Mar 2014
Feature - While relational technologies have been around for a while, NoSQL solutions have proven themselves out time and time again. Perhaps it's time to start seriously thinking about integrating a NoSQL solution into your next enterprise application.
Will performance be the downfall for Java 8 and Project Lambda?
21 Jan 2014
Feature - Everyone has been anxiously awaiting Java 8 and Project Lambda that comes with it. But has the excitement blinding the Java community to the potential problems that might emerge when developers start using Lambdas en masse?
Become a NoSQL expert: Three best books for learning polyglot persistence
20 Jan 2014
Feature - The NoSQL movement has taken the industry by storm, and more and more applications are using polyglot persistence technologies. Are you up to speed on NoSQL? If not, here are three books that will make you an expert.
YARN, MapReduce 2.0, Hadoop clusters and the Big Data layer cake
04 Jan 2014
Feature - MapReduce has matured, and so has Hadoop, and together under the umbrella of YARN, these powerful technologies are working together better than ever to deliver faster and more flexible big data solutions to the enterprise.
YARN and MapReduce 2.0 elevates big data Hadoop and scheduled processing
03 Jan 2014
Feature - YARN represents the biggest architectural change in Hadoop since it's inception over seven years ago. Now, Hadoop goes beyond MapReduce to provide scheduled processing while simultaneously processing big data.
From WebSockets to HTML5: What's new and what's next for Java EE 7
01 Jan 2014
Feature - What's new with Java EE 7? In this article we talk with Peter Pilgrim, the author of the Java EE 7 Developer Handbook, about the key new elements of Java EE 7 that developers need to learn in order to stay current with modern development trends.
Embracing Lambda and Java 8? How the Java landscape will change in 2014
01 Jan 2014
Feature - What will 2014 bring for the enterprise Java community? How developers adapt to new technologies like Lambda is key. Also, how cloud computing deals with the increased desire to virtualize is key as well. Here we look at the key challenges developers...
Scala? Groovy? Why Java is the right programming language for 2014 and beyond
01 Jan 2014
Feature - New programming languages offer a variety of benefits, from the way they handle big data, to the brevity of their syntax. But despite their benefits, Java remains the right choice for the vast majority of enterprise development customers.