What's to Love about Bedrock 4.2 and Mica 1.2

October 12, 2016 Scott Gidley

While we were at Strata + Hadoop World New York last month, we announced two new releases: Bedrock 4.2 and Mica 1.2. We’re thrilled about these releases because they further our mission to bring the data lake approach into the mainstream by providing critical data governance, security controls and intuitive UI.

Bedrock 4.2: Get it under control

In a nutshell, the Bedrock upgrade provides users with more fine-grained control around data lake governance, security and lifecycle management. One of the biggest enhancements is that Bedrock now allows for automated, granular control of data storage and lifecycle policies in the data lake, based on storage tiers, retention periods or custom rules. Also, users can now architect their data lakes via role-based projects or zones. This enables greater security and governance required to define a clear pipeline and flow of data through each stage of the data lifecycle.

Other upgrades involve streaming data, PySpark, and new self-learning algorithms for data deduplication. For all the details, see the Bedrock 4.2 press release.

Mica 1.2: Bring the data to the people

The Mica upgrade focuses on improving the user experience and providing connections beyond cloud and on-premise data lakes to relational databases. One exciting new feature is a shopping cart-like user experience for provisioning data to “tools of choice” for analysts and data scientists, including external databases, applications like analytics and visualization tools, or alternative data lakes. Users also can now partition their data lake into different zones based on data sets, processes, and policies – and then categorize and manage entities within these zones.

In addition to these upgrades, we’ve also added SSO login integration, workspace sharing and more. For more details, see the Mica 1.2 press release.

About the Author

Scott Gidley

Scott Gidley is Vice President of Product Management for Zaloni, where he is responsible for the strategy and roadmap of existing and future products within the Zaloni portfolio. Scott is a nearly 20 year veteran of the data management software and services market. Prior to joining Zaloni, Scott served as senior director of product management at SAS and was previously CTO and cofounder of DataFlux Corporation.

More Content by Scott Gidley
Previous Article
6 Big Data Transformation Strategies in Telecommunications
6 Big Data Transformation Strategies in Telecommunications

People are constantly connected to their networks through voice, text, and other smartphone interactions. T...

Next Article
Migrating On-Premises Data Lakes to Cloud
Migrating On-Premises Data Lakes to Cloud

Migration Objectives In the first blog of this series, we discussed some of the key drivers for a Cloud Dat...

×

Get the latest tips and how-to's delivered straight to your inbox!

First Name
Last Name
Zaloni Blog Email Subscription
Thank you!
Error - something went wrong!