Teradata Aims for a New Era in Data Management with its New IntelliSphere Offering

As Teradata continues to expand its Teradata Everywhere initiative, major announcements came from within its 2017 Partners conference, so along with the announcement of its brand new analytics platform, the company also unveiled a new comprehensive software portfolio that adds the data management power needed behind the analytics scenario.


According to Teradata, IntelliSphere is “a comprehensive software portfolio that unlocks a wealth of key capabilities for enterprises to leverage all the core software required to ingest, access, deploy and manage a flexible analytical ecosystem”.

(Image courtesy of Teradata)

Meanwhile, Teradata IntelliSphere is intended to complement the ongoing Teradata Everywhere initiative and be a natural companion for the Teradata Analytics Platform and, an important tool to enable users across the organization to use their preferred analytic tools and engines across data sources at scale, while having all the necessary components to ensure efficient data management from ingestion to consumption.

According to Oliver Ratzesberger, Executive Vice President and Chief Product Officer at Teradata:

“With IntelliSphere, companies no longer need to purchase separate software applications to build and manage their ecosystem. Companies can design their environment to realize the full potential of their data and analytics today, with a guarantee that future updates can be leveraged immediately without another license or subscription.”

Available for purchase now, the IntelliSphere software portfolio includes a series of key capabilities to ensure efficiency in all the data process to:

  • Ingest, so  companies can easily capture and distribute high volume data streams, with ready-to-run elastic architecture and quick access for business-critical analysis.
  • Access, so companies can gain easy access to data stored in a hybrid cloud or heterogeneous technology environment.
  • Deploy applications and analytic models for easy user access and enterprise collaboration.
  • Manage, to allow ad-hoc data movement, as well as ongoing monitoring and control via an operational interface.

According to the data management company, Teradata IntelliSphere is composed of ten software components, which include:


Finally, the company mentions that in the future, all new software releases will become part the IntelliSphere bundle, a logical step towards building a consistent and more homogeneous analytics ecosystem that can help Teradata to provide simplicity and functional power to its user base.

As I mentioned in another blog in this same vein, It seems we are facing a new stage in the analytics and data management software market in which software companies are now fully renovating their offerings to consolidate as many functions as possible within single enterprise platforms that blend all analytics needs with a robust data engine.

In future posts I’ll try to bring more information about this and the rest of Teradata’s new set of offerings so, stay tuned.
Teradata Aims for a New Era in Data Management with its New IntelliSphere Offering Teradata Aims for a New Era in Data Management with its New IntelliSphere Offering Reviewed by Jorge Garcia on October 27, 2017 Rating: 5

2 comments:

  1. Each individual in the designing field appears to think about it and is keen on doing a course in it. ExcelR Data Science Courses

    ReplyDelete
  2. Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. IEEE Projects for CSE in Big Data But it’s not the amount of data that’s important. Final Year Project Centers in Chennai It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

    Spring Framework has already made serious inroads as an integrated technology stack for building user-facing applications. Corporate TRaining Spring Framework the authors explore the idea of using Java in Big Data platforms.
    Specifically, Spring Framework provides various tasks are geared around preparing data for further analysis and visualization. Spring Training in Chennai

    ReplyDelete

Powered by Blogger.