Teradata Aster Analytics on Hadoop

Teradata Aster Analytics on Hadoop is the complete solution for data analysis.

2016: Installation of Teradata Aster Analytics on Hadoop is upgraded

On September 8, 2016 the Teradata corporation provided the upgraded option of deployment of a system of multifunction data analysis Teradata Aster Analytics on Hadoop.

For work of the previous versions of Aster Analytics the selected systems were required. Now the companies can use flexible opportunities for the accelerated extraction of valuable analytical information from the available data, irrespective of their source.

Interaction of Teradata Aster Analytics on Hadoop with data streams in real time, (2016)

Usually software packages open source for profound data analysis are developed without needs of business analysts - for their use, deployment and maintenance special preparation is necessary. In spite of the fact that means of the profound analysis are adapted for work with Hadoop, they initially did not intend for direct use on this platform in this connection the selected platform of extraction of data is, as a rule, necessary for their work. Similar solutions are limited in scaling options by the number of users, amounts of data and options of use.

Main advantage of Apache Hadoop is an expansibility and capability of integration of alternative subsystems of the analysis and data processing. The product yield of Teradata Aster Analytics on the market is the big step forward representing to clients one more very powerful option of implementation of analytical applications, exacting to resources. Mike Olson, the executive director on strategic questions and the cofounder of company Cloudera, Inc

As a part of Teradata Aster Analytics tools of the analysis of text, trajectory, graphic and statistical data, means of machine learning integrated in the single interface and using the general syntax. Functions give flexible opportunities to Aster Analytics on Hadoop:

• allows to expand scope of application and efficiency of use of the lake of data of Hadoop. Aster Analytics opens access to Hadoop for the ordinary business analysts having skills of work with SQL and R. The product Aster allows to expand a circle of the users making data analysis.
• works directly at the Hadoop platform instead of unloading data from Hadoop on the analytical server. Users can increase processing speed, reducing at the same time costs, reducing the idle times and risks connected with ensuring safe data movement.
• operational use of analytical tools on the Hadoop platform: users can start data processing in the selected and working environment on the same cluster of Hadoop and for the same data. Besides, in Aster there is a center of applications for assistance to analysts in creation of web interfaces for corporate users.

Teradata declared plans to release the public version of Teradata Aster Analytics on Hadoop 7.0 in October, 2016.

See Also: Teradata Aster Analytics on AWS

2015: Release of Aster Analytics on Hadoop

On October 20, 2015 the Teradata company announced release of software^[1].

As a part of the software product set of more than 100 technologies of data analysis, absolutely different, ready to use, and seven vertical industry applications started directly on the Hadoop platform. It helps the organizations to solve commercial problems using one complete solution for data analysis.

Representation of Teradata Aster Analytics on Hadoop (2015)

Aster Analytics on Hadoop gives the chance to users to combine means of machine learning, including text, trajectory, graphic and statistical data, figurative information in uniform business process.

The unified architecture of Teradata (2015)

The corporation proposes flexible options of deployment the solutions Aster Analytics as a part of which the products Teradata Big Analytics Appliance, Hadoop, program or cloud options of delivery.

It is expected that sales of Teradata Aster Analytics on Hadoop will begin in the second quarter 2016.

Notes