DoT Blog

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...

The accelerated evolution of the big data and database markets and the increasing need for managing larger volumes of diverse types of data have favored and created the need for the emergence of so-called data lake management providers. One of these key new players in this market is Zaloni . Zaloni, provides enterprise data lake management, governance and self-service data solutions aimed to ensure organizations to have a clean, actionable data lake. Co-founded and led by Ben Sharma (CEO) & Bijoy Bora (COO) , this North Carolina based software company relies on the experience of its team to provide a reliable solution for managing reliable and efficient data lake services. Recently we have the opportunity to speak with Scott Gidley ―Zaloni’s VP of Product Management― about the company, its solutions and in general, about the big data and data lake markets. Scott leads the strategy and roadmap of the Zaloni platform portfolio. He is a 20-year veteran of the data m...

(Image courtesy of Thomas Skirde) As I mentioned in a first blog about the book, I'm now working hard to deliver a piece that will hopefully, serve as a practical guide for the implementation of a successful modern data management platform. I'll try to provide frequent updates and, perhaps, share some pains and gains about its development. For now, here's some additional information, including the general outline and the type of audience is intended for. I invite you to be part of the process and leave your comments, observations and encouragement quotes right below, or better yet, to consider: Participating in our  Data Management Platforms survey  to obtain a nice discount right off the bat) Pre-ordering the book, soon, I’ll provide you with details on how to pre-order your copy, but in the meantime, you can show your interest by signing up  to our pre-order list, or for Providing us with information about your own successful enterprise use case, which we ...

Why? Over the past couple of years, I have spent lots of time talking with vendors, users, consultants, and other analysts, as well as plenty of people from the data management community about the wave of new technologies and continued efforts aimed at finding the best software solutions to address the increasing number of issues associated with managing enterprise data. In this way, I have gathered much insight on ways to exploit the potential value of enterprise data through efficient analysis for the purpose of “gathering important knowledge that informs better decisions. Many enterprises have had much success in deriving value from data analysis, but a more significant number of these efforts have failed to achieve much, if any, useful results. And yet other users are still struggling with finding the right software solution for their business data analysis needs, perhaps confused by the myriad solutions emerging nearly every single day. It is precisely in this context ...

Courtesy of Hortonworks On March 1, I had the opportunity to attend this year’s Hortonworks Analyst Summit in San Francisco, where Hortonworks announced several product enhancements and new versions and a new definition for its strategy going forward. Hortonworks seems to be making a serious attempt to take over the data management space, while maintaining a commitment to open sources and especially to the Apache Foundation. Thus as Hortonworks keeps gaining momentum, it’s also consolidating its corporate strategy and bringing a new balance to its message (combining both technology and business). By reinforcing alliances, and at the same time moving further towards the business mainstream with a more concise messaging around enterprise readiness, Hortonworks is declaring itself ready to win the battle for the big data management space. The big question is if the company’s strategy will be effective enough to succeed at this goal, especially in a market already overpopulated a...