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Get Simple and Fast Access to All Data Types with HPE Ezmeral Data Fabric

5 new technical white papers detail how different data types can be available for fast access by all departments and organizations within a company.

HPE Ezmeral 5 technical papers.jpgA data fabric unifies all the enterprise-wide data that are crucial for today’s data-first companies, from file stores and databases to event streams and object stores. Having a simple way to access all data and extract insights from it quickly is imperative for businesses to succeed in today’s competitive environment.

In my previous blog post, I focused on the Object Store. However, although unstructured objects are the source of most data ingest by volume today, companies possess a vast amount of structured data that is extremely valuable, and this data is typically held in some form of NoSQL database. HPE Ezmeral Data Fabric Database provides for two implementations of NoSQL that are both fast and space efficient. Additionally, a constant ingest of event streams, particularly at the edge, can be manipulated and processed for valuable insights by HPE Ezmeral Data Fabric streams.

Oftentimes, these disparate data types are held in separate and often proprietary data silos. Data engineers must grant access and authorization in multiple systems, making reliable and consistent global policy implementation difficult to achieve.

The HPE Ezmeral Data Fabric overcomes these issues by hosting all these data types in a global, addressable namespace with a single management and access layer. The solution is the industry’s first data fabric to centralize S3 objects, files, streams, and databases in one scalable data platform from edge to cloud.

I have written a series of whitepapers that detail each of these data types and how they are implemented in the HPE Ezmeral Data Fabric. Each of the papers offer insights that will help you better understand the specific, and often unique, way that the HPE Ezmeral Data Fabric enable these data types in a single, globally addressable namespace.

This paper introduces the data fabric and explains exactly how it stores data in a redundant and resilient way. It covers the basic file system, the concept of volumes, and introduces the object store, streams, and databases.

This paper covers the basics of buckets and objects and goes into details about how objects are stored for maximum performance and space efficiency.

This paper delves into event streams, producers, consumers, and how HPE Ezmeral Data Fabric implements streams in a scalable and efficient manner that is superior to a typical Kafka deployment

HPE Ezmeral Data Fabric implements NoSQL databases in two different formats. This paper outlines in detail the JSON and binary formats that are implemented and illustrates how this differs to a typical Hadoop deployment to support both current and legacy applications.

The global namespace from HPE Ezmeral Data Fabric provides a consolidated view into files that can be in separate clusters across multiple edge, on-premises, and cloud environments with single security management and audit plane. This paper looks in detail at how a global namespace can be deployed.

The HPE Ezmeral Data Fabric avoids data silos created by distributed data sources by ingesting hybrid data types into a single logical infrastructure, and then uses a single management view to centralize, manage, and administer the data fabric. Read the white papers to learn how this solution allows simple and fast access to data for all departments and organizations within a company.

 

Hewlett Packard Enterprise

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About the Author

TomArmstrong

Tom Armstrong is a senior technical marketing engineer at HPE with deep knowledge and expertise in the areas of VMs/operating systems, application software, and data networking. He holds a B.S. degree in Information Systems.