InfoQ Homepage Big Data Content on InfoQ
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Predictions For SOA, Cloud and Big Data In 2013
With 2012 drawing to a close it's the season for analysts and others to give their thoughts on what we can expect in 2013. These range from how SOA will be used more in social and mobile, through to it being the year when people will see that Private Cloud is really just virtualization. What do you think of these predictions and can you offer some of your own?
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Interview With Nick Lavezzo, Co-Founder of FoundationDB
FoundationDB is a database that provides ACID guarantees along with high performance and availability normally associated with NoSQL databases. In an InfoQ exclusive interview, we learn more about the project from one of the founders, Nick Lavezzo.
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Amazon Makes Compelling Case for Hosting and Processing Your Big Data
The AWS team has announced a limited preview of Amazon Redshift, a cloud-hosted data warehouse whose cost and capabilities are poised to disrupt the industry. In addition, AWS revealed two new massive compute instance types, and a data integration tool called Data Pipeline.
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Big Data In The Cloud
Big Data services available from cloud computing vendors such as Amazon, Microsoft and Google are uncovering interesting trends and opportunities.
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Hekaton: In-Memory Transaction Processing Integrated with SQL Server
During the PASS Summit 2012, a technical conference for SQL Server professionals, Microsoft announced Hekaton, an in-memory row-based data management system targeted at transaction processing (TP) workloads. Besides the advertised increase in TP speeds of up to 10x for old applications and up to 50x for new optimized ones, Microsoft touts Hekaton as being fully integrated into SQL Server.
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News from O’Reilly Strata Conference + Hadoop World 2012: Azure HDInsight, Cloudera Impala, MapR M7
Several new Hadoop-based frameworks where announced during this year O’Reilly Strata Conference + Hadoop World 2012 in New York last week.
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Precog: Big Data Analytics as a Service
Precog has recently announced a Big Data warehousing and analysis service which takes care of the data capture, storage, transformation, analysis and visualization process and the infrastructure on which it runs, but leaving open various access points throughout the service via RESTful APIs enabling developers and data scientists to control the entire process.
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“Drilling” Through the Big Data
Apache new project Drill is aimed to support real-time interactive analysis of large-scale (terabytes size) data sets.
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AWS Introduces Amazon Glacier for Low Cost Data Archives
Amazon Glacier is a new service from Amazon Web Services (AWS) that provides extremely low cost, durable storage for archive-ready data. This service targets organizations who want to retain large, infrequently-used data sets but don’t want to maintain a local storage infrastructure.
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IT Values Technologies Over Thought
Recently Cap Gemini's Steve Jones has written an article on how he believes that thinking about solutions to problems is less important these days than jumping on the latest hype bandwagon. Although he uses REST and Big Data as examples, he believes it goes beyond any single technology and that eventually IT will no longer belong to IT people.
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Presentation: Progressive Architectures at the Royal Bank of Scotland
In their presentation posted at InfoQ systems and data architects Ben Stopford, Farzad Pezeshkpour and Mark Atwell show how RBS leveraged new technologies in their architectures while facing difficult challenges such as regulation, competition and tighter budgets. They also need to cope with stringent technical challenges, for instance with efficiency and scalability.
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Azavea Announces Release of GeoTrellis under GPLv3 License
Azavea a company based in Philadelphia that provides products for geographical data, has published an open source product called GeoTrellis under GNU GPL v3 license which is a geographic data processing engine for high performance applications.
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Dempsy – a New Real-time Framework for Processing BigData
A new open source project – Dempsy adds one more option for people trying to do real time processing of big data. Comparable to Storm and S4 Dempsy is most applicable to near real time stream processing where latency is more important than guaranteed delivery.
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Rich Hickey's Datomic embraces Cloud, intelligent Applications and Consistency
Developed since 2010 by Rich Hickey and the Relevance team, Datomic offers some new approaches to database architecture. Leveraging current trends in cloud and storage it has strong transactions, rich query API and read scaling.
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Hazelcast 2.0 Released with Off-Heap Storage and Distributed Backups
Version 2.0 of Hazelcast, a Java-based caching, clustering and data distribution solution, has recently been released. As part of this, the product is now offered in both commercial Enterprise and free open-source Community Editions.