Calpont Sponsors New Research, “Big Data Comes of Age,” from Enterprise Management Associates

 

Free Copies of Research Report Available Courtesy of Calpont. Webinar on December 13 Discusses Key Findings.

 

Frisco, TX December 4, 2012 – Calpont Corporation, a leading provider of high-performance analytic data platform, announced the availability of research, “Big Data Comes of Age” from  Enterprise Management Associates and 9sight.  The report investigates how the concept of Big Data has evolved in two key directions.  First, the technology implications of data structure and processing speed are at least as important as the overall size of Big Data.  Second, what really matters is what systemic business cases Big Data supports and what real analytic and operational value can be extracted.

"It is evident in the EMA / 9sight Big Data study that multiple platforms are required for Big Data initiatives.  According to over 80% of our survey respondents, between two and five platforms are used to perform tasks such as speed of response, complexity workload and overall data loading," said John Myers, Enterprise Management Associates' Senior Analyst for Business Intelligence and Data Warehousing. "Calpont's InfiniDB platform is well positioned to serve response and complex workload requirements for a multi-node Hybrid Data Ecosystem environment.  With enterprise data warehouse and Apache Hadoop environments providing the bulk storage and processing, Calpont's column data store allows for complex processing and speed of response for analytics and ad-hoc exploratory queries to be run in the timeframes required by business stakeholders."

InfiniDB was designed from the inception for large scale, high performance dimensional analytics, predictive analytics, and ad-hoc business intelligence. InfiniDB capitalizes on a variety of data structures and deployment variations to meet organizations’ unique needs.  A massive parallel processing (MPP) column solution, InfiniDB executes SQL written queries as parallelized map and reduction operations, providing the best of both performance and scale for analytics.  InfiniDB helps companies that have massive amounts of highly dimensional data by storing in columns rather than rows.  When queried, InfiniDB accesses only the row data needed for the columns required and distributes the query optimally across all available hardware CPUs, dramatically reducing response times.

 “As the EMA research points out, the technical aspects of Big Data solutions have been in place for some time. However, many business applications of Big Data initiatives are still somewhat immature.  Calpont InfiniDB is providing a foundation for innovative companies to approach their Big Data challenges in news ways and provide real and immediate value.   This includes companies in media, advertising, telecommunications and entertainment that benefit from an array of new Analytical Platforms that can be easily built, launched and scale as needs grow, “said Nick Ochoa, Vice President of Marketing at Calpont. “Companies that are looking to learn from the experts about how their peers are approaching Big Data will be interested in the research and the upcoming webinar that discusses the key findings.”

The free webinar will share highlights of the “Big Data Comes of Age” research with the distinguished report authors:

  • Shawn Rogers, Vice President of Research, Business Intelligence and Data Warehousing, EMA
  • John Myers, Senior Analyst, EMA
  • Dr. Barry Devlin, Founder and Principal, 9sight Consulting

The event is being held Thursday, December 13 at 11:00 a.m. PST / 2:00 p.m. EST.  Register for this free event at:  http://research.enterprisemanagement.com/big-data-comes-of-age-calpont.html   

For more information about Calpont InfiniDB or to try the Enterprise version, visit http://www.calpont.com

Tweet this: News: @Calpont shares #research on #bigdata from @ema_research .  #InfiniDB #Analytics #EDW #columnar

Calpont InfiniDB Provides Fast and Reliable Big Data Analytics Service

 

Presentation at Strata Conference Talks About the Design, Challenges and Future Capabilities of a Big Data Analytics Service

 

New York, NY, October 25, 2012 – Calpont Corporation announced today at the Strata Conference how its high performance analytic data platform InfiniDB is being deployed as part of a heterogeneous Big Data analytics architecture to serve current and emerging large scale BI and analytics needs. 

The presentation titled, “Big Data Analytics Platform at Nokia – Selecting the Right Tool for the Right Workload,” will be featured at 4:10 p.m. on Thursday, October 25 in the Nassau Room at the New York Hilton.  The presentation will discuss the technology stack of the Big Data analytics service and motivations behind Nokia’s design choices, challenges faced and future requirements.

Yekesa Kosuru, distinguished data architect at Nokia, and Jim Tommaney, CTO at Calpont, will share how Nokia has created a Big Data analytics service that is strategic to the company. By creating a single data asset, and making it accessible to internal consumers, Nokia has opened up new opportunities that range from better decision making to faster innovation. The centralized analytics service is a multi-tenant, multi-petabyte environment with terabytes of data flowing in every day. The service is made up of an ecosystem of technologies that support business needs, including location content processing, ETL, ad-hoc SQL queries, dashboard generation, and advanced mining and analytics. The service combines commercial and open source components to generate analytical value for Nokia. Technologies such as Calpont InfiniDB, NoSQL, Scribe, REST, Hadoop, and R form the data and analytics infrastructure at Nokia.

Calpont also announced this week InfiniDB 3.5, which will be available in November 2012.  The new release includes enhanced shared-nothing storage support, cross-engine join capability, and administration enhancements that improve the deployment and maintenance experience for flexible and scalable Big Data architectures.

Copies of the presentation are available on the Strata Conference website.

About the Speakers

Yekesa Kosuru is a distinguished data architect at Nokia where he leads the Data and Analytics engineering team. The team is responsible for building and managing the NoSQL platform and the Big Data Analytics Platform. The NoSQL platform executes hundreds of millions of key-value queries a day and the Big Data Analytics platform hosts multiple petabyte and executes over 10,000 jobs a day, with more than 600 users.  Prior to Nokia, Yekesa worked at Oracle, where he gained deep expertise in relational databases and OLAP technology.

Jim Tommaney is the Chief Technology Officer at Calpont Corporation where he is responsible for the design and architecture of InfiniDB; a high performance, horizontally scalable, and cost effective solution purpose built for data warehousing and analytics.   Jim’s expertise includes designing, managing, and delivering enterprise data architectures for Global 2000 companies across a variety of clustered, large SMP, and distributed/partitioned systems.   He holds a BBA from Texas A&M and a Masters in Management Information Systems from the University of Texas at Dallas.

Tweet this: News: @Calpont Presents Big Data #analytics service #strataconf . #InfiniDB #mySQL #hadoop

Calpont Announces InfiniDB 3.5

 

Calpont InfiniDB Expands Shared-Nothing Platform and Adds Numerous Features that Simplify and Maximize Flexibility for Big Data Analytics Deployments

 

New York, NY, October 24, 2012 – Calpont Corporation announced today details of InfiniDB 3.5 at the Strata Conference and Hadoop World.  The latest release of its high performance analytic data platform, Calpont InfiniDB 3.5,  includes data elasticity and rebalancing for an enhanced shared-nothing  experience; cross-engine join capability; and administration enhancements that improve the deployment and maintenance experience for flexible and scalable Big Data architectures.

InfiniDB was designed from the inception for large scale, high performance dimensional analytics, predictive analytics, and ad-hoc business intelligence. InfiniDB capitalizes on a variety of data structures and deployment variations to meet organizations’ unique needs.  A massive parallel processing (MPP) columnar solution, InfiniDB executes SQL written queries as parallelized map and reduction operations, providing the best of both performance and scale for analytics.

 

Key Points of InfiniDB 3.5 Include:

·         Shared-Nothing platform that is enhanced with full elasticity features and online rebalancing.  Organizations now have the flexibility to add or remove nodes to meet their performance needs along with an integrated rebalancing capability to ensure each node capacity is used to its fullest.

·         Administration enhancements include query performance analysis and customized resource allocation management.  Query priority is given to assigned users and computing resources are optimized so that important user queries are processed first.

·         Cross-engine join capability connects InfiniDB with other data storage engines, simplifying and speeding integration of heterogeneous data technologies in a single Big Data environment.

 “Added to InfiniDB’s ability to load and execute queries extremely fast on large amounts of data from a variety of sources, InfiniDB 3.5 gives customers exciting new shared-nothing features.  It allows the addition or subtraction of nodes and the rebalancing and redistribution of data across the available nodes.  Query priority can be assigned to important users, roles, or tasks to ensure that performance expectations are met and organizations can focus on business – not waiting for data.” said Bob Wilkinson, vice president of engineering at Calpont Corporation.

InfiniDB supports a number of different data sources and deployment options, including incorporating Hadoop data and working in Amazon EC2 through an InfiniDB AMI.  The analytic data platform is a versatile and attractive option for end users, OEM’s, and ISV’s investing in Big Data analytics.  This is especially the case for companies in online marketing, ad serving, wireless and broadband network markets.

In related news, today Calpont today announced how they are helping location-based mobile advertising company, JiWire, power its advertising decision platform and customer usage reports with the InfiniDB analytic platform.  See the complete news announcement, “ Calpont Scales JiWire Mobile Advertising Platform for Location-based and Social Analytic Data.

InfiniDB 3.5 is scheduled for general availability in November 2012. For more information about Calpont InfiniDB or to try the Enterprise version, visit http://www.calpont.com

Tweet this: News: @Calpont Announces @InfiniDB 3.5 For #BigData #Analytics at #strataconf . #InfiniDB #EDW #columnar #mySQL #hadoop

About Calpont

Calpont is the provider of InfiniDB – the simple, scalable platform for Big Data analytics.  InfiniDB is an MPP, column-oriented data technology designed from inception for massive scale, high performance analytics and ad-hoc data discovery.  Known for rapid implementation, unmatched simplicity and extraordinary value, InfiniDB is a proven solution for software, online digital media, telecom, and other data intensive businesses. InfiniDB’s unique two-tier architecture optimizes query processing to all CPUs and accesses only the data required for analysis. Complex analyses that used to take hours now take minutes or seconds, consistently. Unlike MapReduce, NoSQL and row RDBMS offerings, InfiniDB is ready for large scale analytic workloads out-of-box - requiring no indexes, materialized views, manual tuning or manual partitioning. For more information, please visit www.calpont.com, join our community at www.infinidb.org, or follow us at www.twitter.com/calpont.

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Calpont Scales JiWire Mobile Advertising Platform for Location-based and Social Analytic Data

 

Calpont InfiniDB Analytic Platform Efficiently Accelerates

Predictive Modeling Insights for Advertisers and Clients

 

Frisco, TX October 24, 2012 – Calpont Corporation, a leading provider of high-performance analytic databases, announced today that JiWire,  a location-based mobile advertising company, is leveraging InfiniDB to power its advertising decision platform and customer usage reports.  JiWire's platform enables advertisers to reach specific audience segments based on a person's past and present location patterns. JiWire’s network reaches more than 55 million unique users on a monthly basis and continuously analyzes more than 5 billion location tags collected from their proprietary Wi-Fi and mobile app network.

“JiWire needed a solution that would efficiently process the hundreds of millions of rows of data that we were collecting as an organization.  We reviewed a number of different solutions and selected InfiniDB for its ability to immediately impact our business.  It features a familiar MySQL front end to import our existing data and we were ready to go,” said Lenny Blyukher, Vice President of Engineering at JiWire.  “There was no need to spend valuable engineering resources and time to tune the InfiniDB analytic platform and we immediately experienced massive performance gains for our clients to run their own analytics.”  

JiWire provides a custom-built business intelligence dashboard where its clients can analyze and make decisions on their advertising spend, geographic results and selectively retarget marketing dollars to seize opportunities.  The JiWire platform queries terabytes of data from hundreds of millions of records per month that are stored and accessed in InfiniDB.  With InfiniDB as the foundation for scalable data analytics, JiWire has achieved huge performance gains to meet its customers’ service level expectations.

Previously, JiWire customers would create powerful customer insight queries that would simply take too long or timeout.  With InfiniDB, JiWire’s highly dimensional data can be stored in columns rather than rows.  When JiWire customers query millions of data points, InfiniDB accesses only the row data needed for the columns required and distributes the query optimally across all available hardware CPUs, dramatically reducing response times.

“Growing location-based mobile device data and the exploding amount of data being created by social applications like Facebook, Twitter, LinkedIn, and Instagram is creating a goldmine of data for advertisers.  InfiniDB empowers companies with a foundation to harvest data for meaningful insights to power their business,” said Nick Ochoa, Vice President of Marketing for Calpont.  “Web analytics and marketing agencies are inventing new ways to increase and refine the interaction between consumers and companies’ brands and services.  As more complex mobile interactions evolve and more data interactions are stored and analyzed, InfiniDB will ensure JiWire can process these increasingly larger data volumes consistently and reliably.”

For more information about Calpont InfiniDB or to try the Enterprise version, visit http://www.calpont.com.  More about JiWire and InfiniDB is available at: http://success.calpont.com/CSCalpontCaseStudyJiWire_CS-JiWire.html

Tweet this: News: @Calpont Helps @JiWire Tackle #bigdata of #social & #mobile advertising Platform  #InfiniDB #Analytics #EDW #columnar

About JiWire

JiWire is the leader in connecting advertisers to today’s on-the-go Mobile Audience, using the world’s largest location-based interactive media channel. JiWire’s platform enables advertisers to identify and deliver ads to audience segments based on a person’s physical location while taking the venue type and brand into account. The network enables advertisers to reach 55 million unique users each month and deliver ads in and around a person's physical location. JiWire's network targets audiences on mobile phones, tablets and laptops through its public Wi-Fi channel and in-apps ads delivering locally-relevant ad campaigns for Fortune 250 companies who want to ‘locationize’ their brands at significant scale across North America.

About Calpont

Calpont is the provider of InfiniDB – the simple, scalable platform for Big Data analytics.  InfiniDB is an MPP, column-oriented data technology designed from inception for massive scale, high performance analytics and ad-hoc data discovery.  Known for rapid implementation, unmatched simplicity and extraordinary value, InfiniDB is a proven solution for software, online digital media, telecom, and other data intensive businesses. InfiniDB’s unique two-tier architecture optimizes query processing to all CPUs and accesses only the data required for analysis. Complex analyses that used to take hours now take minutes or seconds, consistently. Unlike MapReduce, NoSQL and row RDBMS offerings, InfiniDB is ready for large scale analytic workloads out-of-box - requiring no indexes, materialized views, manual tuning or manual partitioning. For more information, please visit www.calpont.com, join our community at www.infinidb.org, or follow us at www.twitter.com/calpont.

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New Research Points to the Importance of Advanced Database Technologies for Big Data Analytics

Half of Leaders in Aberdeen Research Identify Massively Parallel Processing (MPP) and Columnar Database Technology as a Key Investment for Big Data

 

 

Frisco, TX – September 17, 2012 – Calpont Corporation, a leading provider of high-performance analytic databases today announced new research from Aberdeen Group, “Go Big or Go Home? Maximizing the Value of Analytics and Big Data,” that discusses best practices for organizations pursuing Big Data Analytics. 

The research illustrates that organizations which follow best practices for Big Data analytics are able to meet business demands for data access 32% more often than those that do not. Nathaniel Rowe, Research Analyst for the Aberdeen, commented, “Leaders in the adoption of Big Data technologies realize that by investing more in massive parallel processing (MPP) and column data technologies like Calpont's InfiniDB they are better prepared to address very large scale, low latency analytics for  driving their real-time business needs.”

 “The research confirms what we have seen from our clients that are adopting InfiniDB:  Advances in database technology are providing the foundation that enable Big Data analytics.  Columnar technology, like InfiniDB, paired with MPP are empowering a new wave of analytic applications with real-time insights that previously couldn’t be achieved with legacy RDBMS because of constrained performance and high resource costs,” said, Nick Ochoa, vice president, marketing at Calpont.  “InfiniDB can exploit the increasing volume, variety and velocity of Big Data to create new business models and real business value.”

Free copies of the research are available for a limited time at:  http://www.aberdeen.com/link/sponsor.asp?spid= 30412223&cid=7913

To find out more about Calpont and try InfiniDB for your Big Data analytic needs, visit www.calpont.com.

 

About Calpont

Calpont is the provider of InfiniDB – the simple, scalable platform for Big Data analytics.  InfiniDB is an MPP, column-oriented data technology designed from inception for massive scale, high performance analytics and ad-hoc data discovery.  Known for rapid implementation, unmatched simplicity and extraordinary value, InfiniDB is a proven solution for software, online digital media, telecom, and other data intensive businesses. InfiniDB’s unique two-tier architecture optimizes query processing to all CPUs and accesses only the data required for analysis. Complex analyses that used to take hours now take minutes or seconds, consistently. Unlike MapReduce, NoSQL and row RDBMS offerings, InfiniDB is ready for large scale analytic workloads out-of-box - requiring no indexes, materialized views, manual tuning or manual partitioning. For more information, please visit www.calpont.com, join our community at www.infinidb.org, or follow us at www.twitter.com/calpont.

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