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.
News:1 - 3 of 53
Reflecting on lambdas, open source software and startup strategies at Devoxx 2014
12 Nov 2014
News - Reporting from Devoxx 2014, Geertjan Wielenga gives us all the latest news from Day Two of the iconic conference, including insights on how to support open source software, what might be included in the future Java 9 release, and even some startup...
OpenStack strengthened by AWS, Cloudscaling CTO says
22 Sep 2014
News - At OpenStack Silicon Valley 2014, Cloudscaling’s CTO discusses using AWS to enhance services.
What's next for big data trends in 2014?
28 Mar 2014
Conference News - Learn about the next steps in big data trends for the enterprise in 2014.
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Redis creator signs with vendor amid community support
27 Aug 2015
Podcast - How did the Redis community feel when the creator of their coveted NoSQL database signed on with a commercial vendor? TheServerSide talks to Salvatore Sanfilippo to find out.
The latest trends in the Hadoop project
25 Aug 2015
Podcast - In this podcast, Tim Hall of Hortonworks discusses the Apache Hadoop project and how it has changed since its inception.
Discussing Aerospike at DeveloperWeek 2015
17 Feb 2015
Podcast - Aerospike's developer discusses how the NoSQL database recently moved its IP to open source at DeveloperWeek 2015.
Reference & Learning:1 - 3 of 72
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...
Expert Technical Advice:1 - 3 of 38
Hortonworks optimizes Apache Hadoop performance
27 Aug 2015
Tip - Hortonworks has recently introduced new products to help enhance Apache Hadoop performance.
Successfully managing software quality with growing, globally distributed teams
26 Mar 2015
Tip - Successfully managing a software project is always a challenge, but when a project grows into a globally distributed development effort, application lifecycle management (ALM) becomes a real challenge. So how does Liferay, an open source, enterprise...
Improving software quality in every application lifecycle management (ALM) stage
23 Mar 2015
Tip - Development lifecycles have become tremendously compressed, which means many stages of the application lifecycle management process are iterated over time and time again. Here are some lessons SFactory's Sorin Zaporojan learned throughout the ALM process.