New Releases of Bedrock and Mica Expand Data Lake Beyond Hadoop

February 9, 2017 Kelly Hopkins Schupp

With our latest Bedrock and Mica updates, we’re pushing the boundaries of what has up until now typically defined a data lake: Hadoop. Why are we moving in this direction? Because it makes sense for our clients, who need a solution to centralize management of data from siloed data systems, legacy databases and hybrid architectures. Our solutions support the concept of a data lake beyond Hadoop to encompass a more holistic, enterprise-wide approach. By constructing a “logical” data lake architecture versus a physical one, we can give companies transparency into all of their data regardless of its location, enable application of enterprise-wide governance capabilities, and allow for expanded, controlled access for self-serve business users across the organization.

Centralized command center

Governance, siloed systems, security, privacy and enabling broader yet controlled access to data continue to be significant challenges for most enterprises when it comes to data. With this new release, Bedrock continues to enable enterprises to design pipelines for complex data formats from ingestion to analytics, and simplify and automate data preparation processes so that analysts can spend more time finding insights. This new version of Bedrock builds on these capabilities and provides more advanced and customizable dashboards, making it the “command center” for governing data within the data lake. The update to Zaloni’s Self-service Data Platform, Mica, provides a better, more intuitive user experience, enabling users to identify the data they want, faster.

Bedrock: More visibility and governance

There are two key updates for Bedrock that are most exciting. First, we provide more ways to manage and leverage all the data in an organization. It is now easier to ingest data, work with data and manage metadata for nearly any data source and type, such as complex data formats and natively ingested formats, including Avro, JSON and VSAM. More support for relational database management system (RDBMS) connections allows engineers to easily sync thousands of tables at once while still providing fine-grained control and governance for processing change data, thresholds for parallelism, etc. And, Bedrock provides increased flexibility for the types of data source and amount of data that can be synced with the Mica metadata catalog.

Second, we’ve designed a new Metadata Exchange Framework that enables Bedrock to sync metadata with third-party metadata and governance tools and security frameworks to help organizations ensure their data lake complies with corporate standards defined at the enterprise level.

Mica: Metadata display your way

The new Mica release gives users more customization options so they can get to the data they want, faster. Features include a more customizable UI that enables more granular and flexible discovery, creation and prioritization of custom metadata attributes, more information about data lineage, a more targeted display of data catalog results, and integration with data visualization tools.

For more details about new Bedrock and Mica features, read the press release.

About the Author

Kelly  Hopkins Schupp

Kelly Schupp is Vice President of Marketing for Zaloni. Kelly has 20 years of experience in the enterprise software and technology industry. She has held a variety of global marketing leadership roles, and previously worked at IBM, Micromuse and Porter Novelli. Kelly serves as Zaloni’s brand steward and is deeply passionate about the impact of data-driven marketing.

More Content by Kelly Hopkins Schupp
Previous Article
Zaloni Zip: Solving the Challenges of Hybrid Data Lake Architecture
Zaloni Zip: Solving the Challenges of Hybrid Data Lake Architecture

In this Zaloni Zip, we will discuss the challenges of a Hybrid Data-Lake architecture and how Zaloni’s cent...

Next Article
Up Your Game: How to Rock Data Quality Checks in the Data Lake
Up Your Game: How to Rock Data Quality Checks in the Data Lake

Common sense tells us one can’t use data unless its quality is understood. Data quality checks are critical...

×

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!