Scientel® Publishes “Absolute Solutions For Big Data” Article In “The European” Magazine May/June 2015

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Norman Kutemperor CEO, Scientel unravels the myths of Big Data and explains why it should really be called “Bigger Perspective Data”

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Big data has risen up from the digital revolution to present IT departments around the world with some pretty tough questions, says Norman Kutemperor, Scientel CEO, as he finds the answers

The European” is a prestigious European magazine that puts special emphasis on modern trends in all fields such as Aviation, Energy, Finance, Executive education, Technology, Life sciences, Lifestyle, Business and Travel. In the technology field, its review has led to uncovering major issues with regards to Big Data and the challenges faced by IT departments around the world.

Handling Big Data effectively has been a major issue of our times —and Scientel Information Technology, Inc. is in the forefront of organizations and companies that are generating absolute solutions to fundamental IT problems posed by Big Data. Thus, the European published an article “Scientel, The Voice of Big Data”, in its Jan/Feb 2015 issue. In their May/June issue, “The European” published major articles emphasizing the power and value of education in the digital economy as well as how education drives innovation. Also in the May/June issue, Scientel’s founder/CEO, Norman T. Kutemperor discusses “Absolute Solutions for Big Data” and explains why Big Data should really be referred to as “bigger perspective data”. Contrary to the common myth, Big Data is for everyone, as Big Data is not necessarily large data; it should really be called “Bigger Perspective Data”.

Big Data, regardless of its sizes allows us to reveal a bigger perspective that is not apparent. User interface programs such as visual analytics can unlock hidden insights but may be only revealed in repeated steps when driven from slow performing systems. As these steps become time consuming, analysts get discouraged and quickly give up, and these systems are judged impractical. For this reason, the right database must be utilized for serving big data, one such as the Gensonix NoSQL DB. Gensonix NoSQL DB combines the best of both worlds by providing transaction support for structured storage of business data as well as unstructured storage for content data. When combined with multi-modeling, this renders the highest efficiency of storage as well as the fastest representation for all types of data.

Gensonix incorporates the 7 key features that must be resident in a NewSQL to support the 4V’s of Big Data namely Volume, Velocity, Variety and Veracity. These 7 key features are:

  •     Multi-modeling
  •     Document stores
  •     NSQL language
  •     SQL queries
  •     Transaction processing
  •     Massively parallel processing
  •     Never-Slow technology for contents.

Multi-modeling allows storage of different types of data in different types of stores. When properly applied, this saves tremendous amount of space compared to legacy methods. Thus, the storage of documents in content stores and structured data in tables provides the highest efficiency. This also ensures the high system speed as contents constitute 80% of our data, and they must go into content stores that do not slow down. Employment of languages such as NSQL speeds up development and reduces costs. The support of SQL queries allows users to continue to use queries they are used to. When supported with high scalability and massively parallel processing, this provides the ultimate solution that we all require for Big Data.

Just a decade ago, we asked the question, can we afford to store that much data? Today we ask the question, can we afford to throw away that data? When we accumulate massive amounts of data, processing it must be fast and economical. The 7 key features listed here will ensure that systems stay cost-effective and available. This assures the ability to process large volumes of all varieties of data at high speeds while economically providing companies the “datability” they need. This supplies companies with the Ultimate ‘V’ - Data Viability. Scientel recommends all organizations have a small economic scalable data warehouse, parallel to the main system to accumulate contents and historical data and drive their analytics with no effect on the main systems.

About Scientel Information Technology, Inc.

Scientel Information Technology, Inc. is a U.S.-based, international, systems technology company, operational since 1977. Scientel also designs/produces highly optimized high end servers, which can be bundled with its "GENSONIX® ENTERPRISE" DBMS software, as a single-source supplier of complete systems for Big Data environments. Scientel also customizes hardware and software for specific applications resulting in higher performance.

Scientel's specialty is advanced NoSQL DBMS design and applications/systems integration for advanced business processes. This includes applications for Big Data, commercial intranets, Supply Chain management, IT consulting, support, etc., along with “beyond mainframe-level” Large Data Warehouse Appliance hardware/systems.

GENSONIX® allows very user-friendly data manipulation capabilities found in standard, SQL-based, database management systems, but it goes beyond. It is truly an "ALL-in-One SQL" -- an “All Data Management System” in the form of an ultra-flexible, NoSQL DBMS of perfectly general capabilities and application potentials. It can also function in concert with mainline SQL systems to efficiently handle both structured and unstructured data as a large data warehouse repository. However, it can handle heavy database loads by itself with the aid of the GENSONIX® NSQL©™ query/procedural language. GENSONIX® supports both telnet as well as http interfaces. GENSONIX® is capable of handling trillions of rows/transactions for billions of customers, which is a huge advantage in “truly Big Data” structured applications.

Business customers can take advantage of Scientel’s capabilities in advanced Business Intelligence and Data Analytics to grow their business by handling Big Data more cost-effectively and with greater insights to remain competitive. Scientific, government, and similar organizations can use these capabilities to efficiently process Big Data, instead of being swamped by it. And, Scientel’s Enterprise Content Management & Search solutions can vastly simplify storage, access, and management of any kind of digitized data for any size organization.

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Norman Kutemperor
248-433-4700 Ext: 15
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