Posts Tagged ‘NoSQL’

Big Data Challenges In Banking And Securities

Photo courtesy: Johan Hansson, https://www.flickr.com/photos/plastanka/

Photo courtesy: Johan Hansson, https://www.flickr.com/photos/plastanka/

A new report from the Securities Technology Analysis Center (STAC), Big Data Cases in Banking and Securities, looks to understand big data challenges specific to banking by studying 16 projects at 10 of the top global investment and retail banks.

According to the report, about half the cases involved e petabyte or more or data. That includes both natural language text and highly structured formats that themselves presented a great deal of variety (such as different departments using the same field for a different purpose or for the same purpose but using a different vocabulary) and therefore a challenge for integration in some cases. The analytic complexity of the workloads studied, the Intel-sponsored report notes, covered everything from basic transformations at the low end to machine learning at the high-end.

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Financial Execs Worry About Data Lineage; Triple Stores Can Calm Fears

 

Photo courtesy: Flickr/ FilterForge

Photo courtesy: Flickr/ FilterForge

The Aite Group, which provides research and consulting services to the international financial services market, spends its fair share of time exploring the data and analytics challenges the industry faces. Senior analyst Virginie O’Shea commented on many of them during a webinar this week sponsored by enterprise NoSQL vendor MarkLogic.

Dealing with multiple data feeds from a variety of systems; feeding information to hundreds of end users with different priorities about what they need to see and how they need to see it; a lack of a common internal taxonomy across the organization that would enable a single identifier for particular data items; the toll ETL, cleansing, and reconciliation can take on agile data delivery; the limitations in cross-referencing and linking instruments and data to other data that exact a price on data governance and quality – they all factor into the picture she sketched out.

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Gartner Uncovers Who’s Cool In The Supply Chain

Photo courtesy: Flickr/a loves dc

Photo courtesy: Flickr/a loves dc

Gartner recently released its report dubbed, “Cool Vendors in Supply Chain Services,” which gives kudos to providers that use cloud computing as an enabler or delivery mechanism for capabilities that help enterprises to better manage their supply chains.

On that list of vendors building cloud solutions and leveraging big data and analytics to optimize the supply chain is startup Elementum, which The Semantic Web Blog initially covered here and which envisions the supply chain as a complex graph of connections. As we reported previously, Elementum’s back-end is based on a real-time Java, MongoDB NoSQL document database and flexible schema graph database to store and map the nodes and edges of a supply chain graph. A URI is used for identifying data resources and metadata, and a federated platform query language makes it possible to access multiple types of data using that URI, regardless of what type of database it is stored in. Mobile apps provide end users access to managing transportation networks, respond to supply chain risks, and monitor the health of the supply chain.

Gartner analyst Michael Dominy writes in the report that Elementum earns its cool designation in part for its exploitation of Gartner’s Nexus of Forces, which the research firm describes as the convergence and mutual reinforcement of social, mobility, cloud and information patterns that drive new business scenarios.

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Cruxly Analytics Technology Drives Actions From Intents

Image courtesy: Flickr/ M4D GROUP

Image courtesy: Flickr/ M4D GROUP

What are your customers – or potential clients – saying or asking online, often in short texts and streaming posts, or in emails about your products, services, or their own particular interests or desires? If you can understand their actionable intents in realtime, then you have a good shot at responding swiftly and appropriately to those expressed intents, requests, or queries. That could add up to new sales, new customers, and better marketing and product management.

Startup Cruxly, which is presenting at this week’s Sentiment Analysis Symposium in NYC, believes it’s taking the oft-touted concept of social media monitoring in a new direction with its platform that applies natural language processing techniques for intent detection in realtime. “The idea is to be actionable,” says CEO Aloke Guha. “If it’s not actionable, at most [monitoring] is a nice-to-have [capability].”

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NoSQL’s Data Modeling Advantages

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Jennifer Zaino recently wrote an article for our sister website DATAVERSITY on the evolving field of NoSQL databases. Zaino wrote, “Hadoop Hbase. MongoDB. Cassandra. Couchbase. Neo4J. Riak. Those are just a few of the sprawling community of NoSQL databases, a category that originally sprang up in response to the internal needs of companies such as Google, Amazon, Facebook, LinkedIn, Yahoo and more – needs for better scalability, lower latency, greater flexibility, and a better price/performance ratio in an age of Big Data and Cloud computing. They come in many forms, from key-value stores to wide-column stores to data grids and document, graph, and object databases. And as a group – however still informally defined – NoSQL (considered by most to mean ‘not only SQL’) is growing fast. The worldwide NoSQL market is expected to reach $3.4 billion by 2018, growing at a CAGR of 21 percent between last year and 2018, according to Market Research Media. Read more

SindiceTech Relaunch Features SIREn Search System, PivotBrowser Relational Faceted Browser

sindiceLast week news came from SindiceTech about the availability of its SindiceTech Freebase Distribution for the cloud (see our story here). SindiceTech has finalized its separation from the university setting in which it incubated, the former DERI institute, now a part of the Insight Center for Data Analytics, and now is re-launching its activities, with more new solutions and capabilities on the way.

“The first thing was to launch the Knowledge Graph distribution in the cloud,” says CEO Giovanni Tummarello. “The Freebase distribution showcases how it is possible to quickly have a really large Knowledge Graph in one’s own private cloud space.” The distribution comes instrumented with some of the tools SindiceTech has developed to help users both understand and make use of the data, he says, noting that “the idea of the Knowledge Graph is to have a data integration space that makes it very simple to add new information, but all that power is at risk of being lost without the tools to understand what is in the Knowledge Graph.”

Included in the first round of the distribution’s tools for composing queries and understanding the data as a whole are the Data Types Explorer (in both tabular and graph versions), and the Assisted SPARQL Query Editor. The next releases will increase the number of tools and provide updated data. “Among the tools expected is an advanced Knowledge Graph entity search system based on our newly released SIREn search system,” he says.

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The Supply Chain Is One Big Graph In Start-up Elementum’s Platform

rsz_elementum_transport_appStartup Elementum wants to take supply chains into the 21st century. Incubated at Flextronics, the second largest contract manufacturer in the world, and launching today with $44 million in Series B funding from that company and Lightspeed Ventures, its approach is to get supply chain participants – the OEMs that generate product ideas and designs, the contract manufacturers who build to those specs, the component makers who supply the ingredients to make the product, the various logistics hubs to move finished product to market, and the retail customer – to drop the one-off relational database integrations and instead see the supply chain fundamentally as a complex graph or web of connections.

“It’s no different thematically from how Facebook thinks of its social network or how LinkedIn thinks of what it calls the economic graph,” says Tyler Ziemann, head of growth at Elementum. Built on Amazon Web Services, Elementum’s “mobile-first” apps for real-time visibility, shipment tracking and carrier management, risk monitoring and mitigation, and order collaboration have a back-end built to consume and make sense of both structured and unstructured data on-the-fly, based on a real-time Java, MongoDB NoSQL document database to scale in a simple and less expensive way across a global supply chain that fundamentally involves many trillions of records, and flexible schema graph database to store and map the nodes and edges of the supply chain graph.

“Relational database systems can’t scale to support the types of data volumes we need and the flexibility that is required for modeling the supply chain as a graph,” Ziemann says.

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Semantic Web Jobs: Tagged

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Tagged is looking for a Big Data Engineer. According to the post, “Technology is at the point where ubiquitous devices mitigate the problem of physical distance between people.  In other words, the internet is part of our physical world and our physical world embraces the internet.  The round-trip of reality to digital bits and back means that all life is now data – it is all about the capture, extraction, augmentation, interpretation, transformation, composition, propagation and last but not least, the volume of data. The Data Engineer will be the most important software engineering position for decades to come.” Read more

Hello 2014 (Part 2)

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Courtesy: Flickr/faul

Picking up from where we left off yesterday, we continue exploring where 2014 may take us in the world of semantics, Linked and Smart Data, content analytics, and so much more.

Marco Neumann, CEO and co-founder, KONA and director, Lotico: On the technology side I am personally looking forward to make use of the new RDF1.1 implementations and the new SPARQL end-point deployment solutions in 2014 The Semantic Web idea is here to stay, though you might call it by a different name (again) in 2014.

Bill Roberts, CEO, Swirrl:   Looking forward to 2014, I see a growing use of Linked Data in open data ‘production’ systems, as opposed to proofs of concept, pilots and test systems.  I expect good progress on taking Linked Data out of the hands of specialists to be used by a broader group of data users.

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Hello 2014

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Courtesy: Flickr/Wonderlane

Yesterday we said a fond farewell to 2013. Today, we look ahead to the New Year, with the help, once again, of our panel of experts:

Phil Archer, Data Activity Lead, W3C:

For me the new Working Groups (WG) are the focus. I think the CSV on the Web WG is going to be an important step in making more data interoperable with Sem Web.

I’d also like to draw attention to the upcoming Linking Geospatial Data workshop in London in March. There have been lots of attempts to use Geospatial data with Linked Data, notably GeoSPARQL of course. But it’s not always easy. We need to make it easier to publish and use data that includes geocoding in some fashion along with the power and functionality of Geospatial Information systems. The workshop brings together W3C, OGC, the UK government [Linked Data Working Group], Ordnance Survey and the geospatial department at Google. It’s going to be big!

[And about] JSON-LD: It’s JSON so Web developers love it, and it’s RDF. I am hopeful that more and more JSON will actually be JSON-LD. Then everyone should be happy.

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