Teradata Analytics Platform

Teradata Analytics Platform is the analytical platform with an optimal set of analytic functions and means that gives the chance to all users in the organization to use the most demanded tools and programming languages with support of scaling during the work with different data types.

Analytical tools are in the Teradata Analytics Platform platform in close proximity to data thanks to what there is no need for data movement that allows users to analyze large volumes of data in more short time as required.

Teradata Analytics Platform is a part of the Teradata Everywhere application — a flexible, dynamic and scalable solution.

According to developers, the analytical platform has high scalability, flexibility and performance.

That in a basis

At the heart of Teradata Analytics Platform — the analytic functions, the advanced analytical systems which are most demanded in the industry analytical tools and programming languages and also opportunities to operate with the large volume of data.

Features

Teradata Analytics Platform provides accomplishment of scalable analytic functions, in particular, attribution, a stalemate analysis and time series, and offers a number of statistical, text algorithms and algorithms of machine learning. Due to pipeline processing and data analysis on the flexible analytical Teradata Analytics Platform platform there is no need for data storage for the different systems any more that allows to expedite quickly iteration and to finish the received analysis results.

At the same time, with support of such languages as Python, R, SAS or SQL, experienced analysts can quickly get data access and analyze, having independently selected a programming language. Also such tools as Jupyter, RStudio, KNIME, SAS and Dataiku are available to users of analytics. Teradata AppCenter gives to analysts an opportunity of sharing of analytical applications by placement of models of reuse on the web interface thanks to what business users can provide independent access to them.

Teradata Analytics Platform gives the chance to receive and analyze data types, provided in a text, space format and also in the CSV and JSON formats, including support of Avro, data type open source, providing operational processing of schemes.

2018: Joint solution Teradata and Cisco for "the smart city"

The corporation Teradata in March, 2018 announced cooperation with the company Cisco in the development area of the specialized solution on digital transformation for smart cities and local communities. As envisioned by partners, a system will integrate IoT- the platform Cisco Kinetic for Cities and the analytical Teradata Analytics Platform platform. The solution will allow the cities to become "more smart" and to expand network capabilities thanks to the platform for exchange of the integrated data.

The Cisco Kinetic for Cities platform is intended for safe collecting, consolidation and standardization of operational data from city networks. Teradata of one of the first companies specializing in area of the analysis of the corporate data connected to this platform. The company will provide intellectual data management, including their processing and the analysis, continuous data lifecycle management and their enrichment. In turn, it will allow the cities and local communities to obtain valuable analytical information for increase in efficiency, public security and service quality of the population and also for creation of new sources of income generation.

Process of data collection and management of them within one city is often decentralized, and data are scattered on departments. At the same time each head of the city administration creates the data set and tools for management of specific city objects. Such approach complicates data view in city scales: for this purpose it is necessary to integrate separate data, consider in Teradata.

Our Cisco Kinetic for Cities platform was created to help the cities to create a complete view of investments into city infrastructure and to understand the value of data which they obtain from the connected objects, such as traffic control cameras, counters on paid parkings and sensors of state of environment. After data are aggregated, clients can use Teradata obtained using analytical means kontekstualizirovanny information in the activity, connected with planning, monetization and economic development in general that provides preserving in the cities of conditions, necessary for accommodation, and contributes to their sustainable social and economic development — Anil Menon, the global president of Cisco, the head "The Smart and Connected Communities" said.

The Cisco Kinetic for Cities platform allows the cities to collect, to integrate and standardize information from diverse and separate city sources, including, for example, data on traffic, lighting and parkings. Having integrated these operational data from sensors with other information which is available in the city, for example, the data from payment systems given about moods among the population and data from the analytical systems, the Teradata platform can execute their processing using tools of the ordering and predictive analytics and also create visualization, simple for understanding, in order that the management of the city could make more competent and weighed decisions.

According to the statement of Teradata, such integrated solution is capable to reveal, for example, automatically cases of violation of security and to create notifications, to localize jams in traffic and, besides, to optimize operation of traffic lights for decrease in transport jams or assessment of alternative routes to reduce arrival time of rescue services.

2017: Release

The Teradata corporation announced on October 25, 2017 start of Teradata Analytics Platform which is a part of the Teradata Everywhere application.

In the modern environment different users have different needs for analytics that leads to rapid growth of number of tools and approaches which require big costs and are separate — Oliver Ratsesberger, the executive vice president and the development director of the products Teradata says. — In Teradata Analytics Platform this problem is fixed thanks to universality of this platform including a set of the analytic functions which are most demanded by the user of tools and languages for work with different data types. Having high scalability, flexibility and performance, Teradata Analytics Platform provides to clients the most significant analytical information.

In the conditions of a big variety of available analytical tools and acceptances, business analysts want to use the best methods which are most meeting the requirements of each project. In particular, for forecasting of failure probability of the equipment that can lead to power supply failures on the enterprises and to individuals, it is necessary to carry out the analysis and monitoring of data from different sources among which — meteorological data, data on power supply failures, indications of sensors and counters given on use and data on the equipment including the place of its placement. For the analysis of such diverse data the most various tools and methods can be required, at the same time the analyst will be forced to work with different languages, formats of data, user interfaces and absolutely different systems. Necessary data should be, besides, are integrated and moved from one system to another.

When using Teradata Analytics Platform many of these stages will disappear or can be integrated. The majority of data from the reviewed example will be already included in a uniform ecosystem which can be easily complemented with data from other sources. Now within uniform workflow users have an opportunity to select the most often used interfaces and tools, including commercial and open source. As a result, better and exact outputs on the basis of all data in total will be received, but not any one subset of data, emphasized in Teradata.

The maximum efficiency of the solution Teradata Everywhere and the Teradata Analytics Platform platform is reached due to their sharing with Teradata IntelliSphere — a portfolio of software products for receiving and distribution of data, access to them, deployment and management of an analytical ecosystem.

Objectives

In Teradata Analytics Platform it is going to include, first of all, Teradata Aster technologies therefore specialists in a research of data will receive a wide choice of modern methods for fast preparation and data analysis within uniform workflow with a scaling option. In further Teradata Analytics Platform it will be complemented with such advanced systems as Spark, TensorFlow, Gluon and Theano that will provide to users access to all range of algorithms, including algorithms of artificial intelligence and deep learning.

Availability

Teradata Analytics Platform with the analytical Aster platform will be available to acquaintance at the end of 2017.

See Also

• Teradata Everywhere
• Teradata IntelliSphere