Q&A: HPCC Systems’ Flavio Villanustre on Not Map Reduce and Open Source
HPCC Systems – a unit of LexisNexis – has been quietly building out a big data processing platform for several years, using it internally to power several of its parent’s services and applications. Now, it’s open sourcing the not-map reduce platform, and selling a commercial version to third parties. We got the detail from Dr....
Q&A: Dell’s Bob Barris on the ABCD of Big Data Analytics
Combining its server, storage and networking hardware with open source and partner software, and professional services, Dell is shaping up to be an IT heavyweight in the big data space. We tapped Dell VP of sales for financial services Bob Barris to explain the company’s offering, and he responded that it’s as easy as ABC...
Analysis: Lightower/Sidera Merger
Over the holidays, it was announced that Lightower Fiber Networks and Sidera Networks are to merge. Here’s some more on the deal based (in large part) on a briefing from Sidera CEO Mike Sicoli … * The new company – name TBD and valued at $2 billion – is being created by Berkshire Partners acquiring Lightower...
STAC Benchmarks IBM’s Hadoop
STAC – aka the Securities Technology Analysis Center – has benchmarked IBM’s proprietary Platform Symphony implementation of Hadoop MapReduce, versus the standard open source offering, to compare their respective performance. On average, IBM’s implementation performed jobs 7.3 times faster than the standard, reducing total processing time by a factor of six. Better known for its...
McObject, Dell, Mellanox, Kove Set Record STAC-M3 Benchmarks
McObject with its eXtremeDB Financial Edition database has set record STAC-M3 benchmarks running on a hardware platform provided by Dell, Mellanox and Kove. eXtremeDB is just the second database to be featured in published STAC-M3 benchmarks, the other being Kx Systems’ kdb+. STAC-M3 – as administered and audited along with other benchmarks by the Securities...
Digital Reasoning, Tableau, Cloudera Focus Unstructured Data Analytics on Financial Markets
Partnering with Tableau Software for data visualisation, and leveraging Cloudera’s Hadoop distribution for storage, Digitial Reasoning is applying its Synthesys unstructured data analytics platform at financial markets applications. Synthesys takes structured and unstructured text as input and then uses named entity recognition, understanding of time and geographic references, combined with patented relationship analysis, to develop...
Q&A: Rich Brown of Thomson Reuters Takes The Pulse of Machine Readable News, Social Media and Sentiment
As pointed to in our recent coverage, machine readable news is expanding its asset scope and geographical delivery. A good time, then, for IntelligentTradingTechnology.com to get an inside view on the topic from Rich Brown, head of Elektron Analytics at Thomson Reuters. Q: What’s your assessment on the current state of play re. trading firms...
Kx Releases kdb+ 3.0 To Ease Management of Big Data
Kx Systems has released version 3.0 of its kdb+ database, improving performance and simplifying the storage of massive data sets, such as long histories of time series data. The optimised code in 3.0 utilises Intel “Sandy Bridge” processor Advanced Vector Extensions (AVX) and Streaming SIMD Extensions (SSE) instructions to boost performance of calculations. As for...
Verdande, Nastel Team for CBR-Based Operational Analytics
Verdande Technology and Nastel Technologies have teamed up to combine their case-based reasoning (CBR) and application performance monitoring (APM) solutions, respectively, to provide financial services organisations with predictive analytics to reduce system outages and to remain compliant with regulatory reporting. CBR allows for an adaptive “human” approach to problem solving that analyses data patterns in...
The Rise of Cloud Computing Within the Financial Trading Sector
Mainstream cloud adoption across the financial vertical initially started with buy- and sell-side trading firms needing an accessible platform scalable enough to store their immense volumes of market data and run risk analyses or other algorithms. The cloud was chosen as the logical solution, satisfying the security, compliance and low latency requirements associated with such...