Welcome!

Government Cloud Authors: Dana Gardner, Pat Romanski, Elizabeth White, Liz McMillan, Gopala Krishna Behara

Article

Cloud Computing and Advanced Relationship Analytics

Using Objectivity/DB to Discover the Relationships in your Data

Cloud Computing and Advanced Relationship Analytics

Using Objectivity/DB to Discover the Relationships in your Data

There is a wealth of information, connections and relationships within the terabytes and petabytes of data being collected by organizations on distributed cloud platforms. Utilizing these complex, multi-dimensional relationships will be the key to developing systems to perform advanced relationship analysis. From predictive analytics to the next generation of business intelligence, “walking” the social and professional graphs will be critical to the success of these endevors.

 

Most applications and data layers today are only capable of simple analytics, finding out who-did-what or who-bought-what. Advanced analytics yields far more knowledge at a much deeper level, understanding who, where, what, how and why – right now. 

 

Google, Yahoo and other leaders in online and personalized services are looking to use complex, multi-dimensional graph data to improve everything they do -- from supporting vast indexes and catalogs of content, to providing the best value and return to their advertising users. Graph technology offers a superior solution for relationship analytics requirements, enabling organizations to traverse any number and complexity of relationships in virtually any amount of distributed data, from any number of sources and types, in near real-time, and on the same commodity hardware obtained  through cloud computing platform providers.

 

Solve the problem.

 

The No SQL (or “not only SQL”) movement is defined by a simple premise: Use the solution that best suits the problem and objectives. If the data structure is more appropriately accessed through key-value pairs, then the best solution is likely a dedicated key-value pair database. If the objective is to quickly find connections within data containing objects and relationships, then the best solution is a graph database that can get results without any need for translation (O/R mapping). Today’s availability of numerous technologies that finally support this simple premise are helping to simplify the application environment and enable solutions that actually exceed the requirements, while also supporting performance and scalability objectives far into the future.

 

Cloud computing has adopted a broad variety of No SQL technologies to support these leading-edge requirements. By using solutions designed to support specific tasks and requirements, organizations can more easily achieve often significant reductions in complexity and costs associated with their systems. And by using more targeted and capable components, these systems are also able to achieve even greater levels of performance and scalability.

 

Graph databases may be the most important part of the No SQL movement.

 

Graph databases typically solve problems related to complexity of data, while key-value and column-store solutions seek to address common issues encountered as data volumes grow in size. Our technology addresses both the complexity and scalability requirements to give you the best of both worlds, managing complex and big data.

 

Graph data is represented by nodes or vertices and edges, where any node could be connected to any number of other nodes via the edges between them.

Graph database technologies can support rapid traversal of these edges to get results  in a matter of seconds (or less). Because the data is persisted where relationships are first class citizens, performance is no longer an issue. But when this type of work is done in a relational database or key-value environment, there are very expensive constraints and limitations to performance. And, of course, if the graph database architecture is distributed, then scalability limits are also addressed very nicely.

 

As social media, personalized web and advertising services, business intelligence and organizations in other spaces understand the importance of the deeper relationships within their data, their success in utilizing this information will depend on the technology. Trying to scale out graph data and relationship analysis using relational technology is simply not the answer. In addition, the complex custom code, high-end server hardware, map reduce layers, and administration overhead required to support these architectures can significantly increase costs and overhead. 

 

The days of compromising requirements to support centralized database server architectures or relational systems that simply aren’t designed to solve some problems, are over. Today, there are other options and solutions.              


Objectivity/DB is the original graph database.

 

Today many people are looking for graph technologies that can support for their applications and online, distributed systems. While several solutions focus on the graph interface or API, the underlying database is even more critical. The graph database must support your requirements for performance and scalability, ingest and fusion.      

Objectivity/DB is the leading, enterprise-proven, distributed data management solution and persistence layer that supports the most demanding requirements, and graph computing needs. Benefits include:

 

·         Objectivity/DB persists complex object models where the object and relationships can be any degree of complexity. Objects are persisted natively in the database, and there is no mapping layer. References between objects are stored as direct persistent pointers (object identifiers) making navigation very efficient and high performance.

·         Complex graphs (networks) of objects and references can be persisted and navigated (queried) efficiently. The objects and references in the graph can be distributed across tens of thousands of databases in each federation. The navigational queries can be broken down into sub-tasks and executed in parallel.

  • Objectivity/DB has a fully distributed (peer-to-peer) architecture that allows virtually unlimited scaling of both data and processing. This federated architecture (a collection of distributed databases) supports a single logical view across all objects in the federation, no matter where the data is located, allows elastic scalability of both processing and data in the cloud.

·         Objectivity/DB has been deployed in a variety of configurations, including embedded devices and sensors, telecommunications network element management, enterprise client/server and large distributed systems, and on grid and cloud environments.

·         Objectivity/DB supports several object languages, including Java, C#, C++, Python and Smalltalk. SQL access is also supported via an ODBC connection. Objects and application components created in any language can be accessed from any language.

·         Objectivity/DB runs on a number of hardware platforms and operating systems, including Linux, Windows, and major Unix operating systems. Databases created on any platform can be accessed heterogeneously from any platform.


For More Information

Please visit us online at www.objectivity.com or call (U.S.) 408 992-7100.



Objectivity, Inc.

640 West California Avenue, Suite 210
Sunnyvale, CA 94086-3624 U.S.
Phone:                 U.S. (408) 992-7100
FAX:       U.S. (408) 992-7171
www.objectivity.com

More Stories By Kristi Furrer

Kristi Furrer has comprehensive technology marketing and public relations experience in positioning and driving high technology companies to rapid growth. She has an extensive background to draw upon, from highly successful venture capital technology start-ups such as Wellfleet Communications to Fortune 50 firms such as Fujitsu. Her diverse technology marketing experience coupled with her strong public relations expertise enables her to understand the key drivers influencing strategic marketing plans. Throughout her professional career Ms. Furrer has focused on the multi-disciplinary program management skills to successfully create, launch, and maintain marketing campaigns addressing corporate and product positioning, new products or business launches, and special events planning and implementation.

Ms. Furrer is an industry expert in the areas of public relations and marketing communications. She served as the director of corporate communications at a leading Silicon Valley object-oriented database company, held senior marketing positions at leading communications companies and has gained substantial knowledge of computing platforms through management positions in leading edge workstation companies. Ms. Furrer has successfully launched both products and businesses.

IoT & Smart Cities Stories
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, discussed how they built...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
JETRO showcased Japan Digital Transformation Pavilion at SYS-CON's 21st International Cloud Expo® at the Santa Clara Convention Center in Santa Clara, CA. The Japan External Trade Organization (JETRO) is a non-profit organization that provides business support services to companies expanding to Japan. With the support of JETRO's dedicated staff, clients can incorporate their business; receive visa, immigration, and HR support; find dedicated office space; identify local government subsidies; get...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
"Avere Systems deals with data performance optimization in the cloud or on-premise. Even to this day many organizations struggle with what we call the problem of data gravity - 'Where should I put the data?' - because the data dictates ultimately where the jobs are going to run," explained Scott Jeschonek, Director Cloud Solutions at Avere Systems, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.