How to Get Your Ingested Data Production-Ready in Just 8 Weeks

Posted by Kelly Schupp, VP, Data-Driven Marketing on Feb 23, 2017 3:21:01 PM

Whether you’re planning for a data lake implementation or have a proof-of-concept (POC) in place, one thing is clear: You must hydrate the data lake before it can be ready for production. Depending on the complexity and volume, data ingestion and data preparation can take at least six months.

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Topics: Big Data Ecosystem, Bedrock, Data Lake, Data Management, Data Governance, Metadata Management

Managed Data Lakes Enable the Promise of the New Health

Posted by John Poonnen on Feb 22, 2017 10:24:55 AM

Physicians and care teams must now focus on the optimal delivery of care, through broad, proactive population health management initiatives and effective personalized medicine. This transformation requires an real-time, integrated, holistic view of data from many diverse sources to provide a comprehensive 360 degree view of the patient along with the context of the population being treated.  Creating-managing-exposing information captured in managed data lakes can help healthcare organizations understand their patients and their subpopulations, thus making personalized, proactive evidence based medicine a reality.

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Topics: Industries & Use Cases, Bedrock, Data Lake, Data Governance

5 Guidelines for Building a Successful Data Catalog

Posted by Greg Wood on Feb 21, 2017 8:17:35 AM

At times, the search for a perfect data catalog can seem like finding the hay in a needle stack (not only difficult, but painful!). Each stakeholder has equally demanding and disparate sets of requirements for success. Where business analysts want a slick, refined, and easily navigated UI with easy export capabilities, data scientists might refuse to accept anything that does not allow custom-tailored queries, connections to their favorite notebook, and unburdened access to all of the data that has ever existed in the data lake. Meanwhile, the security group wants none of this! Exposing the data at all is a non-starter.

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Topics: Hadoop, Big Data Ecosystem, Data Management, Data Governance

Zaloni Zip: Solving the Challenges of Hybrid Data Lake Architecture

Posted by Parth Patel on Feb 14, 2017 3:47:07 PM

In this Zaloni Zip, we will discuss the challenges of a Hybrid Data-Lake architecture and how Zaloni’s centralized data-lake management platform tackles those challenges head-on. 

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Topics: Big Data Ecosystem, Bedrock, Zaloni Zip, Data Lake, Data Management, Data Governance, Metadata Management

New Releases of Bedrock and Mica Expand Data Lake Beyond Hadoop

Posted by Kelly Schupp, VP, Data-Driven Marketing on Feb 9, 2017 9:33:09 AM

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.

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Topics: Hadoop, Big Data Ecosystem, Bedrock, Zaloni News, Data Lake, Data Management, Mica, Data Governance, Metadata Management

Deriving Value from the Data Lake

Posted by Ben Sharma on Jan 18, 2017 2:48:23 PM

Excerpt from ebook, Architecting Data Lakes: Data Management Architectures for Advanced Business Use Cases, by Ben Sharma and Alice LaPlante.

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Topics: Ben Sharma, Big Data Ecosystem, Data Lake, Data Management, Data Governance, Metadata Management

Data Management and Governance in the Data Lake

Posted by Ben Sharma on Jan 10, 2017 9:25:20 AM

Excerpt from ebook, Architecting Data Lakes: Data Management Architectures for Advanced Business Use Cases, by Ben Sharma and Alice LaPlante.

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Topics: Hadoop, Ben Sharma, Big Data Ecosystem, Data Lake, Data Management, Data Governance

3 Keys to Creating an Enterprise-scale Security Model for the Data Lake

Posted by Parth Patel on Dec 21, 2016 10:30:28 AM

We’re seeing data lake environments grow from the size of tens of terabytes to the colossal scale of petabytes. As a result, more enterprises are questioning how on earth they should go about governing something so huge and complex. From our perspective, a policy-based or attribute-based security model is paramount in terms of creating an enterprise-scale security model for the data lake. Leveraging metadata, a policy-based security model automates permissions and access – and is really the only way to confidently secure big data while still allowing the access necessary to democratize use and derive value from the data lake.

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Topics: Big Data Ecosystem, Data Lake, Data Management, Data Governance, Metadata Management

Validating Data in the Data Lake: Best Practices

Posted by Tony Fisher, SVP of Strategy and Business Development on Dec 15, 2016 1:27:33 PM

Can you trust the data in your data lake? Many companies are guilty of dumping data into the data lake without a strategy for keeping track of what’s being ingested. This leads to a murky, swampy repository. If you don’t have transparency into your lake so that you can feel confident using the data, what’s the point of deploying a data lake in the first place?

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Topics: Hadoop, Big Data Ecosystem, Bedrock, Data Lake, Data Governance

Train Your (Hadoop) Elephant with Fewer Data Lake Management and Governance Tools

Posted by Greg Wood on Nov 30, 2016 3:43:47 PM

In the past year, the focus of big data has expanded from creating new streaming and computing frameworks into creating ways to manage and control these frameworks. Unfortunately, none of the tools for these frameworks provide a complete enough set of governance and management functionality to operate alone.

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Topics: Hadoop, Big Data Ecosystem, Bedrock, Data Lake Solutions, Data Management, Data Governance