Posted by BlairMABEL25 May - 28 - 2015 ADD COMMENTS


Durham, NC (PRWEB) April 06, 2015

Open Software Integrators, LLC (OSI), the leader in Big Data consulting and professional services, is excited to announce that it has rebranded as Mammoth Data. The new corporate identity reflects the company’s focus on – and rich expertise in – helping companies turn their unstructured information into actionable business intelligence through the use of Big Data technologies like Hadoop®, Cassandra, MongoDB, Couchbase and Neo4j.

Andrew C. Oliver founded OSI in 2008 as a full-service consulting and application development firm with wide-ranging competencies. In the years since, the company has refined its initially broad offerings. Today, the newly minted Mammoth Data is recognized as a leader in the strategic use of Big Data and NoSQL technologies to transform organizations’ unstructured information into highly actionable business intelligence.

This heightened focus on Big Data and BI is reflected in the Mammoth Data brand, which includes:


Modern, eye-catching logo design
A bright, fresh color palette
A new web presence, at mammothdata.com

“From the name to the website, the Mammoth Data brand is a terrific reflection of who we are as a company and what we offer our clients,” said Andrew C. Oliver, Mammoth Data’s president and founder. “Our clients trust us with the kind of BI projects that can make or break their business. Mammoth Data provides companies with intelligent Data Strategies and helps them transition to modern Data Architectures. ”

About Mammoth Data, Inc

Mammoth Data, the leader in Big Data consulting, specializes in utilizing distributed frameworks and NoSQL databases to help large and mid-sized organizations get the most out of the information they already have. By combining technologies like Hadoop® with a high-level strategy, we are able to craft systems that capture, organize and make actionable massive amounts of your organization’s data. Basically, Mammoth Data turns your unstructured information into real business intelligence.

Headquartered in downtown Durham, North Carolina, Mammoth Data was founded in 2008 as Open Software Integrators (OSI) by Andrew C. Oliver, an open source software developer and evangelist. The company rebranded as Mammoth Data in 2015.

For more about Mammoth Data, visit mammothdata.com, follow us on Twitter, connect with us on LinkedIn, email info(at)mammothdata(dot)com or call 919-321-0119.

Media Contact:

Tara Fusco | Mammoth Data | 919-321-0119 | tfusco(at)mammothdata(dot)com







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Boulder, CO (PRWEB) November 10, 2014

SlamData, Inc., commercial developer of the SlamData open source project, announced the General Availability of their MongoDB BI/analytics solution.

Installers for the release are available from the SlamData website, or the project can be accessed on GitHub and built from source code. The project is licensed under the AGPL V3 license.

SlamData allows for unrestricted ad hoc queries on data stored in MongoDB. Unlike existing solutions, there is no need to relocate the data or write complicated code. SlamData is the only MongoDB analytics solution to offer 100% in database execution and does not stream data or require extensive data mapping or replication.

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According to SlamData CEO Jeff Carr, “SlamData is simpler to use and more powerful than any current MongoDB analytic solution. As a result we are seeing significant growth in our user base. Other solutions are limited in flexibility or takes days to set up and maintain.”

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SlamData tackles this issue directly using advanced mathematical extensions to relational algebra. SlamData’s approach allows full support for SQL queries executing directly on a MongoDB database (or replica set), and also the ability to support much more advanced queries than are possible in ANSI SQL.

The open source project already has hundreds of users. “Simple ad hoc analytics is an increasing issue for data-driven companies including Patheer, says Dennis Harris, Co-founder of Patheer, a company building on MongoDB. Continues Harris, “We have been searching for a solution that will allow us to analyze semi/un-structured data without complex MapReduce and other complicated ETL processes. SlamData has been a breath of fresh air as it allows us to analyze our semi/un structured data by just using simple SQL syntax and executes 100% in MongoDB. Other solutions we tried forced us to relocate our data to new data stores or cloud services which slowed us down and added complexity.”

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About SlamData:

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Contact : Jeff Carr jeff(AT)slamdata.com : Twitter @slamdata







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