DoT Blog

"When there’s an elephant in the room introduce him" -Randy Paush It is common that when speaking about Big Data two major assumptions often take place: One : Hadoop comes to our minds right by its side, and many times are even considered synonyms, which they are not. While Big Data is the boilerplate concept that refers to the process of handling enormous amounts of data coming in different forms  (structured and unstructured), independent of the use use of a particular technology or tool, Hadoop is in fact, a specific open source technology for dealing with these sort of voluminous data sets. But before we continue, and as a mind refresher, let’s remind ourselves what is Hadoop with their own definition: The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering ...

Still distilling good results from the acquisition of former consultancy company Think Big Analytics , Teradata , a powerhouse in the data management market took one step further to expand its data management stack and to make an interesting contribution to the open source community. Fully developed by the team at Think Big Analytics, in March of 2017 the company launched Kylo –a full data lake management solution– but with an interesting twist: as a contribution to the open source community. Offered as an open source project under the Apache 2.0 license Kylo is, according to Teradata, a new enterprise-ready data lake management platform that enables self-service data ingestion and preparation, as well the necessary functionality for managing metadata, governance and security. One appealing aspect of Kylo is it was developed over an eight year period, as the result of number of internal projects with Fortune 1000 customers which has enabled Teradata to incorporate several be...

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 ...

(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 ...