AsterData still alive;/launches SQL-MapReduce Developer Portal

so apparantly ole client AsterData continues to thrive under gentle touch of Terrific Data

———————————————————————————————————————————————————

Aster Data today launched the SQL-MapReduce Developer Portal, a new online community for data scientists and analytic developers. For your convenience, I copied the release below and it can also be found here. Please let me know if you have any questions or if there is anything else I can help you with.

Sara Korolevich

Point Communications Group for Aster Data

sarak@pointcgroup.com

Office: 602.279.1137

Mobile: 623.326.0881

Teradata Accelerates Big Data Analytics with First Collaborative Community for SQL-MapReduce®

New online community for data scientists and analytic developers enables development and sharing of powerful MapReduce analytics


San Carlos, California – Teradata Corporation (NYSE:TDC) today announced the launch of the Aster Data SQL-MapReduce® Developer Portal. This portal is the first collaborative online developer community for SQL-MapReduce analytics, an emerging framework for processing non-relational data and ultra-fast analytics.

“Aster Data continues to deliver on its unique vision for powerful analytics with a rich set of tools to make development of those analytics quick and easy,” said Tasso Argyros, vice president of Aster Data Marketing and Product Management, Teradata Corporation. “This new developer portal builds on Aster Data’s continuing SQL-MapReduce innovation, leveraging the flexibility and power of SQL-MapReduce for analytics that were previously impossible or impractical.”

The developer portal showcases the power and flexibility of Aster Data’s SQL-MapReduce – which uniquely combines standard SQL with the popular MapReduce distributed computing technology for processing big data – by providing a collaborative community for sharing SQL-MapReduce expert insights in addition to sharing SQL-MapReduce analytic functions and sample code. Data scientists, quantitative analysts, and developers can now leverage the experience, knowledge, and best practices of a community of experts to easily harness the power of SQL-MapReduce for big data analytics.

A recent report from IDC Research, “Taking Care of Your Quants: Focusing Data Warehousing Resources on Quantitative Analysts Matters,” has shown that by enabling data scientists with the tools to harness emerging types and sources of data, companies create significant competitive advantage and become leaders in their respective industry.

“The biggest positive differences among leaders and the rest come from the introduction of new types of data,” says Dan Vesset, program vice president, Business Analytics Solutions, IDC Research. “This may include either new transactional data sources or new external data feeds of transactional or multi-structured interactional data — the latter may include click stream or other data that is a by-product of social networking.”

Vesset goes on to say, “Aster Data provides a comprehensive platform for analytics and their SQL-MapReduce Developer Portal provides a community for sharing best practices and functions which can have an even greater impact to an organization’s business.”

With this announcement Aster Data extends its industry leadership in delivering the most comprehensive analytic platform for big data analytics — not only capable of processing massive volumes of multi-structured data, but also providing an extensive set of tools and capabilities that make it simple to leverage the power of MapReduce analytics. The Aster Data

SQL-MapReduce Developer Portal brings the power of SQL-MapReduce accessible to data scientists, quantitative analysis, and analytic developers by making it easy to share and collaborate with experts in developing SQL-MapReduce analytics. This portal builds on Aster Data’s history of SQL-MapReduce innovations, including:

  • The first deep integration of SQL with MapReduce
  • The first MapReduce support for .NET
  • The first integrated development environment, Aster Data
    Developer Express
  • A comprehensive suite of analytic functions, Aster Data
    Analytic Foundation

Aster Data’s patent-pending SQL-MapReduce enables analytic applications and functions that can deliver faster, deeper insights on terabytes to petabytes of data. These applications are implemented using MapReduce but delivered through standard SQL and business intelligence (BI) tools.

SQL-MapReduce makes it possible for data scientists and developers to empower business analysts with the ability to make informed decisions, incorporating vast amounts of data, regardless of query complexity or data type. Aster Data customers are using SQL-MapReduce for rich analytics including analytic applications for social network analysis, digital marketing optimization, and on-the-fly fraud detection and prevention.

“Collaboration is at the core of our success as one of the leading providers, and pioneers of social software,” said Navdeep Alam, director of Data Architecture at Mzinga. “We are pleased to be one of the early members of The Aster Data SQL-MapReduce Developer Portal, which will allow us the ability to share and leverage insights with others in using big data analytics to attain a deeper understanding of customers’ behavior and create competitive advantage for our business.”

SQL-MapReduce is one of the core capabilities within Aster Data’s flagship product. Aster DatanCluster™ 4.6, the industry’s first massively parallel processing (MPP) analytic platform has an integrated analytics engine that stores and processes both relational and non-relational data at scale. With Aster Data’s unique analytics framework that supports both SQL and
SQL-MapReduce™, customers benefit from rich, new analytics on large data volumes with complex data types. Aster Data analytic functions are embedded within the analytic platform and processed locally with data, which allows for faster data exploration. The SQL-MapReduce framework provides scalable fault-tolerance for new analytics, providing users with superior reliability, regardless of number of users, query size, or data types.


About Aster Data
Aster Data is a market leader in big data analytics, enabling the powerful combination of cost-effective storage and ultra-fast analysis of new sources and types of data. The Aster Data nCluster analytic platform is a massively parallel software solution that embeds MapReduce analytic processing with data stores for deeper insights on new data sources and types to deliver new analytic capabilities with breakthrough performance and scalability. Aster Data’s solution utilizes Aster Data’s patent-pending SQL-MapReduce to parallelize processing of data and applications and deliver rich analytic insights at scale. Companies including Barnes & Noble, Intuit, LinkedIn, Akamai, and MySpace use Aster Data to deliver applications such as digital marketing optimization, social network and relationship analysis, and fraud detection and prevention.


About Teradata
Teradata is the world’s leader in data warehousing and integrated marketing management through itsdatabase softwaredata warehouse appliances, and enterprise analytics. For more information, visitteradata.com.

# # #

Teradata is a trademark or registered trademark of Teradata Corporation in the United States and other countries.

High Performance Analytics

Marry Big Data Analytics to High Performance Computing, and you get the buzzword of this season- High Performance Analytics.

It basically consists of Parallelized code to run in parallel on custom hardware, in -database analytics for speed, and cloud computing /high performance computing environments. On an operational level, it consists of software (as in analytics) partnering with software (as in databases, Map reduce, Hadoop) plus some hardware (HP or IBM mostly). It is considered a high margin , highly profitable, business with small number of deals compared to say desktop licenses.

As per HPC Wire- which is a great tool/newsletter to keep updated on HPC , SAS Institute has been busy on this front partnering with EMC Greenplum and TeraData (who also acquired  SAS Partner AsterData to gain a much needed foot in the MR/SQL space) Continue reading “High Performance Analytics”

TeraData buys AsterData for 260+ million $

Balance sheet venetian method
Image via Wikipedia

This just in! Big party in San Carlos this weekend.

Teradata is acquiring Aster Data‘s business, including its intellectual property and technology product line, through a merger transaction. Teradata plans to support Aster Data’s customers and integrate its employees immediately upon completion of the acquisition, which is expected to occur in the second quarter of 2011. Teradata acquired an 11 percent ownership interest in Aster Data in September 2010, and has agreed to pay an additional $263 million for the remaining ownership interest, net of debt and other expenses. In addition, through this acquisition, Teradata will obtain approximately $21 million of cash which Aster Data is expected to have on its balance sheet at closing.

http://www.asterdata.com/news/110303-Teradata-to-Acquire-Aster-Data.php

 

Increasing views to Youtube Videos

YouTube
Image via Wikipedia

The Youtube Promoted Videos (basically a video form of Adsense) can really help companies like Oracle, SAP, IBM, Netezza, SAS Insititute, AsterData, Rapid Miner, Pentaho,  JasperSoft, Teradata, Revolution who create

either corporate videos/training videos or upload their seminar, webinar,conference videos to Youtube.

Making a video is hard work in itself- doing an A/ B test with Youtube Promoted videos might just get a better ROI for your video marketing budget and IMHO embeddable videos from Youtube are much better and easier to share than Videos that can be seen only after registration on a company web site. You want to get the word out for your software, or you want to get website views?

SAS Scoring Accelerators

One of the most interesting SAS product launches of 2009. I am currently reading SAS Enterprise Miner and I am quite impressed – in fact we have a 1500 processor HPC cluster , besides access to Kraken, the 3 largest HPC in the world. It is interesting to see possible application uses for that. Of course I am currently fiddling with R based parallelized clustering on them.

SAS® Scoring Accelerator

Citation-

http://www.sas.com/technologies/analytics/datamining/scoring_acceleration/index.html

Quickly and accurately process and score analytic models built in SAS® Enterprise MinerTM

What is SAS® Scoring Accelerator?
SAS Scoring Accelerator translates and registers SAS Enterprise Miner models into database-specific functions to be deployed and then executed for scoring purposes directly within the database. SAS Scoring Accelerator is a separate product that works in conjunction with  SAS Enterprise Miner.

Why is SAS® Scoring Accelerator important?
SAS Scoring Accelerator automates the movement of the model scoring processes inside the database. Faster deployment of analytic models means more timely results, enabling business users to make important business decisions. Better-performing models help ensure the accuracy of the analytic results you’re using to make critical business decisions.

For whom is SAS® Scoring Accelerator?
SAS Scoring Accelerator is specifically for organizations that use SAS Enterprise Miner. It is designed for chief scoring officers and IT to score analytic models directly inside the database.

Key Benefits:

 

  • Achieve higher model-scoring performance and faster time to results.
  • Reduce data movement and latency.
  • Improve accuracy and effectiveness of analytic models.
  • Reduce labor costs and errors by eliminating model score code rewrite and model revalidation efforts.
  • Better manage, provision and govern data.

 

Key Features:

Export Utility:

  • Functions as a plug-in to SAS Enterprise Miner that exports the model scoring logic including metadata about the required input and output variables.

Publishing Client:

  • Automatically translates and publishes the model into C source code for creating the scoring function inside the database.
  • Generates a script of database commands for registering the scoring user-defined function (UDF) inside the database. Scoring UDFs are available to use in any SQL expression wherever database-specific built-in functions are typically used.
  • Supports a robust class of SAS Enterprise Miner predictive and descriptive models including the preliminary transformation layer.

SAS Scoring Accelerator interfaces with the following relational databases:

  • SAS® Scoring Accelerator for Teradata
  • SAS® Scoring Accelerator for Netezza

Tera Data and SAS innovate together

I missed out posting this one- it’s the big big news of Tera Data and SAS coming closer to create a much needed Business Analytics Centre.

SAS and Teradata will establish a Business Innovation Analytic Center.

In conjunction with Elder Research Inc., the Center will offer leading-edge analytic thinking and implementation.

Core news facts:

With this centralized “think-tank,” customers can discuss analytic best practices with domain subject matter experts and quickly test or implement innovative models focused on uncovering unique insights for optimizing business operations.

The Business Analytic Innovation Center will combine the strengths of SAS, Teradata and Elder Research (the world’s leading analytical consulting firm for data mining and predictive analytics) to help customers across all industries grow revenue, reduce risk and improve operations.

The Center will incorporate unmatched thought leadership with a visionary lab for pilot programs, analytic workshops, and proofs-of-concept for prospective customers across a myriad of industries, including financial services, retail, government, health care and life sciences, and insurance.

Also see- http://www.sas.com/partners/directory/teradata/index.html

teradata1

Press Release

CARY, NC (Oct. 26, 2009) – Recognizing the growing need and challenges businesses face driving operational analytics across enterprises, SAS and Teradata are planning to establish a centralized “think tank” where customers can discuss analytic best practices with domain and subject-matter experts, and quickly test or implement innovative models that uncover unique insights for optimizing business operations. The Business Analytics Innovation Center will combine the strengths of SAS, the leader in business analytics <http://www.sas.com/businessanalytics/> software and services, Teradata Corporation <http://www.teradata.com> (NYSE: TDC <http://www.nyse.com/about/listed/lcddata.html?ticker=TDC> ), the world’s largest company solely focused on data warehousing <http://www.teradata.com/t/enterprise-data-warehousing/> and enterprise analytics <http://www.teradata.com/t/business-needs/data-mining-and-analytics/> , and Elder Research Inc <http://www.datamininglab.com/> . (ERI), the world’s leading analytical consulting firm for data mining and predictive analytics, to help customers across all industries grow revenue, reduce risk and improve operations.

“For decades, SAS, Teradata and ERI have provided state-of-the-art analytical solutions for their respective customers,” said Jim Davis, SAS Senior Vice President and Chief Marketing Officer. “The Business Analytics Innovation Center combines our individual strengths for a robust approach to enterprise analytics. By acting faster and asking questions they previously couldn’t ask or didn’t think of, participating clients will be able to improve their operations and strengthen competitive advantage.”

The Center will incorporate unmatched thought leadership with a visionary lab for pilot programs, analytic workshops, and proofs of concept for prospective customers across a myriad of industries, including financial services, retail, government, health care and life sciences, and insurance.

The joint offerings that will comprise the Center are expected to yield powerful results. For example, a top global consumer electronics firm used resources from ERI that will become part of the Business Analytics Innovation Center to discover and prevent fraud committed by clients and partners. Within the first year, the firm recovered more than $20 million.

They continue to rely on ERI for new analytical programs, rewarding their anti-fraud division’s effectiveness with expanded budget, staff and charter.

(Note from Ajay- Read earlier article on case management solutions by SAS in recent press release announcement at Business Leadership series ( the event following the Data Mining 2009 series)

Screenshot- Terrific web and social media campaign by www.teradata.com
( The Only BI company I know of that has an Iphone application AND a Facebook application)

Aster Data : Big Data Bigger Analytics Campaign

My favorite ( as of now) company in Big Data is Aster Data* ( I am partial to companies founded by Stanford Alumni having interacted with a lot of them while working with Trilogy- another Stanford dropout alumni company. There are also not too many Silicon Valley startups by us famously non intellectual Punjus

Q- What is the culture in Punjab A- In Punjab the only culture is agriculture)

Aster Data has correctly hit the marketing hammer on the nail of bigger data and with the quantities of data expanding rapidly  this is a lucrative market to get into ( as pointed by our favorite analytics journal NY Times)

Aster Data’s products of nCluster and nPath with MapReduce SQL, and the recent interactions with SAS Institute hold them in a nice promising place but with miles to go before they even rest ( or start thinking of that IPO)

Aster were present at Data Mining 2009 with terrific response to their booth.

As a techie wannabe stats frat boy, I like the Aster nPath product more (Time Series)  but the analytics within database claim with nCluster needs to be investigated and even tested further. Especially if you need  three days to get your monthly summary report.asterdata

( *and also an advertiser, sponsor to Big Data Summit as per FCC regulations)

The Data Services and Applications with flexibility for cloud computing is what makes this especially appealing from a product perspective while their relatively small size ( as compared to other bigger Vend- ORs) gives alliance partners more leverage in colloborating in Research and Design and maybe even co bundling applications.

Screenshots- Courtesy -The Lovely www.asterdata.com website ( Webmasters of other websites especially IBM and Oracle’s should take note how a website can have lots of content and yet be readable)

Also I will be posting the remaining Data Mining 2009 interviews shortly (including Part 2 with Anne) and share some/all of the presentations  via SlideShare embedding in WordPress.com ( post permission).

As for the Aster Data Interviews- I owe Peter Pavloski and the readers one. Coming up soon.

asterdata2