InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Hadoop + SQL Server + Excel = Big Data Analytics
Few months back, Microsoft announced HDInsight, Microsoft’s Hadoop distribution for managing, analysing and making sense out of large volumes of data. InfoQ connected with Val Fontama, Senior Product Marketing Manager for SQL Server, to know more about how the Enterprise Big Data @ Microsoft story is panning out.
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RavenDB Founder On .NET, ACID with NoSQL, Upcoming Features
RavenDB 2.0 was recently released with several new features. In an InfoQ exclusive interview, Oren Eini (Ayende Rahien), founder and project lead of RavenDB, shares the rationale behind various decisions in the project, as well as what’s coming up.
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Trends in the latest Technology Radar
ThoughtWorks's latest "Technology Radar" focuses on mobile, accessible analytics, simple architectures, reproducible environments, and data persistence done right.
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How Alibaba Catered To $3 Billion Sales In A Day
Chinese Ecommerce Giant, Alibaba, recently managed to sell $3 billion worth of product in a single 24 hour period. InfoQ got a chance to ask a few questions to Zhuang Zhuoran and Youtan, architects from Tmall and Taobao, about the challenges of handling such loads and how they meet them.
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RavenDB Gets Better Performance, Tooling, Async APIs
RavenDB 2.0 RC was recently released with a better tooling, a new Changes() API, Eval Patching, better indexing performance and several other improvements.
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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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Couchbase Releases Couchbase Server 2.0 GA
Couchbase Server 2.0 main features include flexible JSON data model, distributed indexing and querying, incremental map-reduce, and cross data center replication.
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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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Google Publishes Paper On Spanner Ushering a Return to Distributed Transactional Semantics
Scalability vs distributed transactional semantics,is no longer a compromise as per Google's research work on Spanner. Spanner's features include non-blocking reads, lock-free read only transactions and atomic schema changes across a globally replicated relational database. The central idea that tackles the latency issues with distributed transactions is the exposure of clock uncertainty.
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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.