451 Research Report
Thursday, January 18, 2018 at 1:00pm ET
Data Lake Readiness
In just 4 weeks, we'll provide a complete data inventory PLUS assessments of how ready your data lake is in 5 key areas.
Results like never before.
A New And Better Way
Easy, fast, transformative:
One Go-To Source for All Data
Podium brings all enterprise data together into one, centralized repository where it can be instantly accessed for a wide range of uses. All data is cataloged, validated, and profiled so it’s easy to find and understand.
Data You Can Trust
Podium is fueled by rich metadata, which provides visibility and context for all data at a granular level. Users know exactly what the data is, where it came from, and what’s been done to it so they can act on it with greater confidence than ever before.
Self-Service; Shop for Data
With Podium, analysts simply “Shop For Data” — accessing, exploring, preparing, and sharing data on their own, without any help from IT. Preparing data takes only minutes, instead of months.
Complete Governance and Control
Podium takes a platform approach to data security that centralizes control and applies governance at the point of use. Enterprise-grade encryption and authentication, along with granular-level permissions and tracking, ensure data security and compliance.
Made for you.
Delivered by Mok Choe, TD Bank’s SVP and Chief Architect, this video presents how TD Bank is using Hadoop to create IT 3.0 and launch the next generation bank.
Think of your data lake as providing data-as-a-service. Users want access to high quality data from a variety of sources without having to know where it comes from….A data lake with a two-way exchange in which users both consume and contribute data creates a data marketplace.
Podium is giving business users self-service on-demand access to hundreds of enterprise data sources, radically reducing data preparation costs and cutting time to insight for business users from six months to a day.
Imagine the power and impact of shopper-like services for analysts seeking data. Finding the right data quickly is essential in the age of self-service analytics.