Click here to close now.


Apache Authors: Liz McMillan, Craig Lowell, Jim Scott, AppDynamics Blog, Dana Gardner

News Feed Item

Teradata Aster Discovery Platform Offers Powerful Data Science Solution in a Box

Industry's first solution with Visual SQL-MapReduce® functions provides complete solution for big analytic applications with minimal time and effort

SAN DIEGO, Feb. 20, 2013 /PRNewswire/ -- Teradata (NYSE: TDC), the leading analytic data solutions company, today introduced Teradata Aster Discovery Platform 5.10, the first and most comprehensive discovery solution with more than 20 new big data analytic capabilities, including purpose-built visualizations. Insights from these analytics can empower organizations to be more profitable by enhancing customer engagement and improving sales.


The Teradata Aster Discovery Platform reduces the difficulties associated with big data analytics. Now, customers can easily and seamlessly acquire, prepare, analyze, and visualize petabyte-sized volumes of multi-structured data in a single platform with a single structured query language (SQL) command. The Teradata Aster Discovery Platform provides users with out-of-the-box visual functions that make it faster and easier to build big data analytic applications and unlock hidden insights.  

"Existing and aspiring data scientists should take note. The Teradata Aster Discovery Platform is full of new capabilities that can empower them to accelerate their innovation and supply new options to their business users," said Scott Gnau, president, Teradata Labs. "It is Teradata's goal to be our customers' trusted partner in building a Unified Data Architecture™, which includes a powerful set of big data solutions. The result is effective deployment of transformational technology that drives tangible results."

For organizations seeking value from big diverse data, the Teradata Aster Discovery Platform offers an enterprise-friendly, ready-to-deploy suite of integrated hardware, software, and best-of-breed partner solutions. Its open platform approach leverages enterprise business intelligence (BI), data integration, analytics, and visualization tools. The Teradata Aster Discovery Platform is easy to use by any SQL-savvy analyst or business user, and it is powerful and flexible enough for the most sophisticated data scientists.

The challenges facing businesses desperately needing the insights from big diverse data are daunting. Many businesses remain focused on the storage and management of multi-structured data, or have multiple disconnected, dis-functional technologies, or don't have skilled employees and resources to start a big data analytics initiative.

"With newly added analytics and visualization functionality, the Teradata Aster Discovery Platform offers the convenience of a 'data scientist in a box,'" said Dan Vesset, program vice president of business analytics and big data, IDC. "Much of the market attention has been on vendors trying to build SQL engines on Hadoop. Teradata Aster Discovery Platform already provides an ANSI SQL-compliant method with its SQL-MapReduce® framework to acquire, prepare, analyze, and visualize data from any data source including Hadoop. Without the need to integrate multiple point solutions, customers using this Teradata technology are able to accelerate the discovery process and visualize information in new and exciting ways, and to focus the scarce expertise of data scientists on highest value- added tasks."

The Teradata Aster Discovery Platform is open and allows customers to integrate existing big data analytic tools. This enables customers to use the richest set of analytical techniques available today. The new, key technical enhancements within the Teradata Aster Discovery Platform include:

Visual SQL-MapReduce® functions - These functions offer unique capabilities that generate sophisticated purpose-built data visualizations coupled with other Aster SQL-MapReduce® analytical functions generated inside the database. The functions complement business intelligence functionality. For example, customer behavior patterns, graphs, and product affinity are instantly visualized. With Teradata Aster's integrated data acquisition, preparation, analytics, and visualization capabilities, the entire analytics process is highly iterative, and only takes minutes versus weeks compared to other big data solutions.

In-Database "R" execution capability - The popular open source statistical language, R, has been tightly integrated inside the Teradata Aster Database. Data scientists now have more choices for executing advanced analytics. Because of this integration, SQL-savvy analysts or business analysts can take advantage of Aster's massively parallel processing (MPP) platform to score statistical models on massive data volumes.

Support for In-Database PMML execution via Zementis – Tight integration between Zementis and Teradata Aster Database empowers business analysts to develop statistical models in tools of their choice. Analysts can seamlessly export and import the statistical models in Aster to take advantage of Aster's MPP platform to score models at scale.

In-Database Integration of Attensity® capabilities - Attensity's market-leading text and sentiment analytic capabilities are being integrated inside the Aster Database. This enables text and sentiment analytics to be an integral part of the big data discovery process and can be easily combined with other analytical techniques including SQL-MapReduce® functions, and Visual SQL-MapReduce® Analytics.

Manufacturing and Financial Services Industry Analytics - To assist manufacturing and financial services companies, new SQL-MapReduce® functions have been integrated. The manufacturing industry can improve processes that increase yield and reduce waste. Financial services companies can more quickly detect fraud and customer defection.

From within the Teradata Unified Data Architecture™, Teradata provides customers the ability to leverage best-of-breed partner tools. Follow the link to view comments from Teradata's valued partners – Attensity, Informatica, and Zementis.

Teradata Aster Discovery Platform 5.10 will be available by the end of second quarter 2013.

Teradata Unified Data Architecture™

The Teradata Aster Discovery Platform is a key component within the Teradata Unified Data Architecture - a best-of-breed framework enabling businesses to quickly uncover new business insights from all their data. Teradata Aster combines enterprise-friendly interfaces such as SQL, tightly integrated with next generation big data technologies such as MapReduce in the patented SQL-MapReduce® framework. Also, the Teradata Aster Big Analytics Appliance provides industry-leading integration with Hadoop through its SQL-H™ interface, allowing very high performance SQL queries and Aster SQL-MapReduce® analytics to be applied on Hadoop data. Finally, with more than 70 pre-built MapReduce analytical functions, and many third-party analytical add-ons.

About Teradata Aster

The Teradata Aster solution utilizes Aster's patented SQL-MapReduce® to parallelize the processing of data and applications and deliver rich analytic insights through the simplicity of SQL and business intelligence tools. This SQL integration makes Aster easy enough for business analysts, but powerful enough for the most sophisticated data scientists in any organization. Companies including Barnes & Noble, Razorfish, Gilt Groupe, and SuperValu use Teradata Aster to deliver applications such as digital marketing intelligence, fraud detection, social network and relationship analysis, and deep information discovery. Learn more at and via the Big Analytics & Discovery Blog.

About Teradata

Teradata Corporation (NYSE: TDC) is the world's leading analytic data solutions company, focused on integrated data warehousing, big data analytics, and business applications. Teradata's innovative products and services deliver data integration and business insight to empower organizations to make the best decisions possible for competitive advantage. Visit for details.

Get to know Teradata:


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

SOURCE Teradata Corporation

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context w...
Electric power utilities face relentless pressure on their financial performance, and reducing distribution grid losses is one of the last untapped opportunities to meet their business goals. Combining IoT-enabled sensors and cloud-based data analytics, utilities now are able to find, quantify and reduce losses faster – and with a smaller IT footprint. Solutions exist using Internet-enabled sensors deployed temporarily at strategic locations within the distribution grid to measure actual line loads.
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new data-driven world, marketplaces reign supreme while interoperability, APIs and applications deliver un...
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, will explore the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome,” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
Today’s connected world is moving from devices towards things, what this means is that by using increasingly low cost sensors embedded in devices we can create many new use cases. These span across use cases in cities, vehicles, home, offices, factories, retail environments, worksites, health, logistics, and health. These use cases rely on ubiquitous connectivity and generate massive amounts of data at scale. These technologies enable new business opportunities, ways to optimize and automate, along with new ways to engage with users.
The IoT is upon us, but today’s databases, built on 30-year-old math, require multiple platforms to create a single solution. Data demands of the IoT require Big Data systems that can handle ingest, transactions and analytics concurrently adapting to varied situations as they occur, with speed at scale. In his session at @ThingsExpo, Chad Jones, chief strategy officer at Deep Information Sciences, will look differently at IoT data so enterprises can fully leverage their IoT potential. He’ll share tips on how to speed up business initiatives, harness Big Data and remain one step ahead by apply...
There will be 20 billion IoT devices connected to the Internet soon. What if we could control these devices with our voice, mind, or gestures? What if we could teach these devices how to talk to each other? What if these devices could learn how to interact with us (and each other) to make our lives better? What if Jarvis was real? How can I gain these super powers? In his session at 17th Cloud Expo, Chris Matthieu, co-founder and CTO of Octoblu, will show you!
SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the cloud and the best price/performance value available. ProfitBricks was named one of the coolest Clo...
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
SYS-CON Events announced today that Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, will keynote at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of at least three separate application components: the software embedded in the device, the backend big-data service, and the mobile application for the end user's controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target - this makes the integration of these separate pipelines and the coordination of software upd...
Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
WebRTC converts the entire network into a ubiquitous communications cloud thereby connecting anytime, anywhere through any point. In his session at WebRTC Summit,, Mark Castleman, EIR at Bell Labs and Head of Future X Labs, will discuss how the transformational nature of communications is achieved through the democratizing force of WebRTC. WebRTC is doing for voice what HTML did for web content.
The broad selection of hardware, the rapid evolution of operating systems and the time-to-market for mobile apps has been so rapid that new challenges for developers and engineers arise every day. Security, testing, hosting, and other metrics have to be considered through the process. In his session at Big Data Expo, Walter Maguire, Chief Field Technologist, HP Big Data Group, at Hewlett-Packard, will discuss the challenges faced by developers and a composite Big Data applications builder, focusing on how to help solve the problems that developers are continuously battling.