ATLANTA, Aug. 24, 2016 /PRNewswire/ -- Teradata Corp.
(NYSE: TDC), a leading analytics solutions company, today announced
important new deployment options for Teradata Aster Analytics, the
world's most advanced multi-genre analytics engine: Teradata
Aster Analytics on Hadoop and Teradata Aster Analytics on Amazon
Web Services (AWS). Although previous versions of Aster
Analytics required dedicated systems, now companies have the
flexibility to accelerate valuable analytic insight from their data
wherever it resides, building on their existing investments in
Hadoop.
This flexibility supports Teradata's strategy for a Hybrid Cloud
architecture, the next generation of agility, flexibility, and
integration between systems – and a more open approach to advanced
analytics. Massive volumes of data from the Internet of Things
(IoT), including sensors and digital mobile devices, have resulted
in custom-tailored architecture that includes Hadoop and cloud.
Teradata now provides significant options for a hybrid
approach.
"Many businesses are looking for a way to integrate advanced
analytics into their existing infrastructure in an orchestrated,
multi-tenant environment. Teradata has just made this
possible with Aster Analytics on Hadoop and Aster Analytics on
AWS," said Nik Rouda, Senior Analyst, ESG Global, who covers big
data analytics. "These new options allow users to provision an
analytic environment and start analyzing data they already have in
a data lake or in the cloud. With the AWS option, they can
forego large CapEx investments and pay as they go while they
experiment with advanced analytic technology. In either case,
these choices allow businesses to accelerate time to value and meet
the analytic demands of their respective user communities – with
significant economic advantages."
In general, open source advanced analytics packages are not
designed with business analysts in mind; they require specialized
skills to use, deploy and maintain. And while such tools have been
adapted to work with Hadoop, they are not specifically designed to
run on Hadoop and, as a result, they typically require data to be
extracted into a dedicated platform. These solutions are
insufficiently scalable in terms of users, data and use cases.
"A core strength of Apache Hadoop is its extensibility and
ability to embrace alternative analytic and processing engines. The
addition of Teradata Aster Analytics to the industry's offerings is
a genuine advancement and gives customers a powerful new choice for
demanding analytic applications," said Mike
Olson, Chief Strategy Officer and co-founder of Cloudera,
Inc.
Teradata Aster Analytics provides text, path, pattern, graph,
machine learning and statistics--all within the same interface and
syntax. The new options bring flexibility with clear benefits:
Teradata Aster Analytics on Hadoop
- Broadens the use and value of the Hadoop data lake - Aster
Analytics makes Hadoop accessible to general business analysts with
SQL and R skills. Aster supports more users across the
analytic community.
- Runs natively in Hadoop - Rather than move data out of Hadoop
into an analytic server, users can eliminate costs, delays and
security risks associated with data movement and accelerate the
process.
- Quickly operationalizes analytics in Hadoop - Users can
instantiate development sandboxes and production environments on
the same Hadoop cluster against the same data. In addition, Aster
provides AppCenter to help analysts build web-based interfaces for
business users.
Teradata Aster Analytics on AWS
- Speeds time to value - Businesses can quickly provision an
analytic sandbox on the cloud and leverage Aster's prebuilt
SQL-based analytics to accelerate development. If the model
demonstrates value, users can move the same analytics into
"production" on the cloud.
- Boosts analytic agility - Provides the analyst with a powerful
set of multi-genre analytics at scale to experiment and iterate on
massive volumes of data for as long as they have the
need.
- Provides financial incentives - Allows businesses to experiment
with prebuilt advanced analytics functions and their data assets
without the costs of new hardware, setup or implementation.
"The ability to run Aster Analytics natively on Hadoop is a
major industry breakthrough and can dramatically accelerate the
return on any company's Hadoop investment," said Chris Twogood, vice president, Product and
Services Marketing, Teradata. "Aster has always been about
connecting analysts with big data at scale. But now for the first
time, advanced analytics on Hadoop is fully democratized, so that
business analysts as well as data scientists can access the data
and analyze it with path, machine learning and graph algorithms.
Our new Hadoop and AWS deployment options put business-ready, agile
analytics into the hands of more users, at a faster pace, with
minimal cost and risk,"
Teradata Aster Analytics on Amazon Web Services will be
available in mid-September, 2016. Teradata Aster Analytics on
Hadoop 7.0 will be generally available in October 2016.
Relevant News Links
- New blog from John Thuma on the value of Aster Analytics
- Oliver Ratzesberger blog on
Aster and The Sentient Enterprise
- For details on Teradata Aster Analytics on Hadoop, visit our
web page
- For details on Teradata Aster Analytics on Amazon Web Services,
click here
- Teradata to introduce the next wave of Big Data Analytics, IoT
and Cloud Technology at the upcoming Teradata PARTNERS Conference
and EXPO
- Teradata Hybrid Cloud – the next generation of data
architecture
About Teradata
Teradata empowers companies to achieve high-impact business
outcomes. Our focus on business solutions for analytics, coupled
with our industry leading technology and architecture expertise,
can unleash the potential of great companies. Visit
teradata.com.
Get to know Teradata:
Twitter: https://twitter.com/teradata
Facebook: https://www.facebook.com/Teradata
LinkedIn: https://www.linkedin.com/company/teradata
YouTube: https://www.youtube.com/user/teradata
Teradata, Aster, and the Teradata logo are
registered trademarks of Teradata Corporation and/or
its affiliates in the U.S. and worldwide.
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SOURCE Teradata