Welcome!

Microservices Expo Authors: Liz McMillan, Pat Romanski, Elizabeth White, Mehdi Daoudi, Yeshim Deniz

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.

Microservices Articles
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. In their Day 3 Keynote at 20th Cloud Expo, Chris Brown, a Solutions Marketing Manager at Nutanix, and Mark Lav...
The now mainstream platform changes stemming from the first Internet boom brought many changes but didn’t really change the basic relationship between servers and the applications running on them. In fact, that was sort of the point. In his session at 18th Cloud Expo, Gordon Haff, senior cloud strategy marketing and evangelism manager at Red Hat, will discuss how today’s workloads require a new model and a new platform for development and execution. The platform must handle a wide range of rec...
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists discussed what things are the most important, which will have the most profound e...
If your cloud deployment is on AWS with predictable workloads, Reserved Instances (RIs) can provide your business substantial savings compared to pay-as-you-go, on-demand services alone. Continuous monitoring of cloud usage and active management of Elastic Compute Cloud (EC2), Relational Database Service (RDS) and ElastiCache through RIs will optimize performance. Learn how you can purchase and apply the right Reserved Instances for optimum utilization and increased ROI.
TCP (Transmission Control Protocol) is a common and reliable transmission protocol on the Internet. TCP was introduced in the 70s by Stanford University for US Defense to establish connectivity between distributed systems to maintain a backup of defense information. At the time, TCP was introduced to communicate amongst a selected set of devices for a smaller dataset over shorter distances. As the Internet evolved, however, the number of applications and users, and the types of data accessed and...
Consumer-driven contracts are an essential part of a mature microservice testing portfolio enabling independent service deployments. In this presentation we'll provide an overview of the tools, patterns and pain points we've seen when implementing contract testing in large development organizations.
In his session at 19th Cloud Expo, Claude Remillard, Principal Program Manager in Developer Division at Microsoft, contrasted how his team used config as code and immutable patterns for continuous delivery of microservices and apps to the cloud. He showed how the immutable patterns helps developers do away with most of the complexity of config as code-enabling scenarios such as rollback, zero downtime upgrades with far greater simplicity. He also demoed building immutable pipelines in the cloud ...
You have great SaaS business app ideas. You want to turn your idea quickly into a functional and engaging proof of concept. You need to be able to modify it to meet customers' needs, and you need to deliver a complete and secure SaaS application. How could you achieve all the above and yet avoid unforeseen IT requirements that add unnecessary cost and complexity? You also want your app to be responsive in any device at any time. In his session at 19th Cloud Expo, Mark Allen, General Manager of...