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Teradata includes brand New Analytics Platform to its Teradata Everywhere Initiative

(Image Courtesy of Teradata)
In a recent announcement made during its 2017 Partners conference data management software provider, Teradata made an important new addition to its global Teradata Everywhere initiative with a brand new analytics platform.

The new offering to be available for early access later this year will aim to enable users to use the analytics environment of their choice. According to the company, the new analytics platform is planned to enable access to a myriad of analytics functions and engines so users can develop full analytics processes and business solutions using the tools of their choice so initially, the new platform, will natively integrate with Teradata and Aster technology (Figure 1) and in a near future will enable integration with leading analytics engines including Spark, TensorFlow, Gluon, and Theano.



Figure 1.  Aster Analytics Functions (Courtesy of Teradata)

As corporate data is increasingly captured and stored in a wider number of formats, the platform includes support for several data types from multiple data sources, from traditional to new formats social media and IoT formats, including text, spatial, CSV, and JSON formats, or Apache Avro, as well as other open-source data types that allow programmers to dynamically process data schemas.

As part of a new set of functional features, the Teradata Analytics Platform includes the provision of different scalable analytic functions like attribution, path analytics, time series, and number of statistical, text and machine learning algorithms.

With support for multiple languages including Python, R, SAS and SQL, and different tools like Jupyter, RStudio, KNIME, SAS, and Dataiku. Teradata expects experienced users can use their tool of choice to not just develop with less disruption but to promote efficiency via code and model re-use via Teradata’s AppCenter to allow analysts to share analytic applications and deploy reusable models within web-based interface.

According to Oliver Ratzesberger, Teradata’s executive vice president and chief product officer:

“In today’s environment different users have different analytic needs, this dynamic causes a proliferation of tools and approaches that are both costly and silo-ed. We solve this dilemma with the unmatched versatility of the Teradata Analytics Platform, where we are incorporating a choice of analytic functions and engines, as well as an individual’s preferred tools and languages across data types. Combined with the industry’s best scalability, elasticity and performance, the Teradata Analytics Platform drives superior business insight for our customers.”

According to Teradata, the benefits offered by the new analytics platform include:

  • Simplification of data access to both data warehouse and data lakes
  • Speed data preparation with embedded analytics
  • Allow fast and easy access to cutting-edge advanced analytics and AI technologies
  • Support for preferred data science workbenches and languages like R, Python, and SQL
  • Helping to make prescriptive analytics operational to enable autonomous decisioning
  • Minimize risk of existing analytical architectures with Teradata Everywhere

More important, the announcement of the new analytics platform comes along with the announcement of Teradata’s new comprehensive software portfolio initiative IntelliSphere, the new company’s proposal for easy data access, ingestion, deployment, and management.

According to Teradata, the new platform is planned to be flexibly delivered on-premises or via public and private clouds as well as managed cloud options, for which all them will use the same software.

Teradata is definitely aiming to be everywhere

Teradata seems to have understood how important is and will be in the future to offer new software solutions from more open and agile architectures that play well with others and yet are solid and secure. A movement other data management companies are already exploring and adopting, such is the case for, among others, Cloudera and its new Data Science Workbench or SAS’ Open Analytics Platform.

It seems we are facing a new stage in the analytics and data management software market in which software companies are reshaping all its offerings to consolidate as many functions as possible within single enterprise platforms that blend all analytics needs with a robust data engine.
  
In the meantime, personally I’m eager to check the new Teradata’s Analytics Platform in action.

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