Are you killing the benefits of your data lake? (EMEA)

Logo
Presented by

Rick van der Lans, Independent Business Intelligence Analyst and Lakshmi Randall, Director of Product Marketing, Denodo

About this talk

Data lakes are centralized data repositories. Data needed by data scientists is physically copied to a data lake which serves as a one storage environment. This way, data scientists can access all the data from only one entry point – a one-stop shop to get the right data. However, such an approach is not always feasible for all the data and limits it’s use to solely data scientists, making it a single-purpose system. So, what’s the solution? A multi-purpose data lake allows a broader and deeper use of the data lake without minimizing the potential value for data science and without making it an inflexible environment. Attend this session to learn: • Disadvantages and limitations that are weakening or even killing the potential benefits of a data lake. • Why a multi-purpose data lake is essential in building a universal data delivery system. • How to build a logical multi-purpose data lake using data virtualization. Do not miss this opportunity to make your data lake project successful and beneficial.

Related topics:

More from this channel

Upcoming talks (6)
On-demand talks (350)
Subscribers (30064)
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.