- Community Home
- >
- HPE AI
- >
- AI Unlocked
- >
- What is data fabric? Why do you need it for data a...
Categories
Company
Local Language
Forums
Discussions
Forums
- Data Protection and Retention
- Entry Storage Systems
- Legacy
- Midrange and Enterprise Storage
- Storage Networking
- HPE Nimble Storage
Discussions
Discussions
Discussions
Discussions
Forums
Forums
Discussions
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
- BladeSystem Infrastructure and Application Solutions
- Appliance Servers
- Alpha Servers
- BackOffice Products
- Internet Products
- HPE 9000 and HPE e3000 Servers
- Networking
- Netservers
- Secure OS Software for Linux
- Server Management (Insight Manager 7)
- Windows Server 2003
- Operating System - Tru64 Unix
- ProLiant Deployment and Provisioning
- Linux-Based Community / Regional
- Microsoft System Center Integration
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Community
Resources
Forums
Blogs
- Subscribe to RSS Feed
- Mark as New
- Mark as Read
- Bookmark
- Receive email notifications
- Printer Friendly Page
- Report Inappropriate Content
What is data fabric? Why do you need it for data analytics?
A recent article in CIO.com caught my attention: Data fabric: The holy grail of business insights. Since the phrase holy grail is used to connote a highly sought-after objective, I wondered why data fabric deserves such high praise. A summary of the article followsโwith a few of my own insights thrown in.
The author, Tom Armstrong, Senior Technical Marketing Engineer at HPE, explains that data analytics is a core business function. Itโs helping organizations obtain valuable insights that improve processes, increase efficiency, and save money.
Yet several hurdles are hindering insights businesses can gain by using data and analytics. Whatโs the answer? Data fabric.
What is the challenge?
According to Armstrong, data is core to business operation. Organizations have a myriad of data types, tools, and languages working together to produce desired insights. Yet they must overcome several hurdles before they can effectively use data and analytics. These include:
- Integrating data across multiple location and technologies
- Ensuring no data is lost during integration
- Manually copying data from and to different systems.
To solve these challenges, organizations may be tempted to use new, unfamiliar toolsโor create technical silos. These are not solutions, as they cause more problems and limit productivity. Instead, Armstrong recommends solutions that aggregate all your data into a single platform, where policies can be applied to ensure data placement, movement, and protection.
โThe rise of a modern data fabric as a data management architecture is a direct response to the data integration and protection challenges associated with todayโs highly distributed and diverse data landscapes,โ states Armstrong.
What exactly is data fabric?
If data fabric is key to solving the data and analytics challenges for organizations, letโs first understand exactly what data fabric is.
Armstrong provides a comprehensive definition. โData fabric is a design concept that enables reusable and augmented data integration services and data pipelines to deliver integrated data. It can combine data management, integration, and core services that are orchestrated across multiple deployments and technologies. Companies benefit with democratized data access through self-service that orchestrates data delivery across multiple use cases."
He goes on to say that data fabric is an overarching architecture that can ingest data from any store, filesystem, or database and then apply AI and ML tools to analyze and mine insights required for maximum business value. It abstracts away different geographical, physical, and logical locations with a semantic layer that uses multiple access methods and protocols. This means data science and engineering teams can continue using familiar tools to support existing productivity levels.
What else should we know about data fabric?
Armstrongโs article explains the importance of data protection as part of data fabric. Weโve all heard recent news stories about security breaches. According to an end of the year article in Wired.com, The Worst Hacks of 2021, last year โwas a year of ransomware, surveillance, data breaches, and yes, more ransomware.โ
Since these types of attacks show no sign of slowing, modern data fabrics can help by building in data protection techniques such as snapshots, mirroring, and tiering. These techniques help ensure data used for insights is protected, available, and recoverable 24ร7. The data fabric should automatically replicate snapshots and mirrors across clusters, thereby eliminating single points of failure. Yet data fabric also needs to provide replicas to rebuild data sets in case of a malicious attack. If the solution has platform-level data management, replicas will carry the same security policies no matter where they are located.
The article goes on to explain the importance of integrationโand being sure you donโt create silos in your quest for data analytics. โIdentifying insights or competitive advantages requires access to all your data โ even if it spans different file systems. A modern data fabric should enable data engineers and data scientists to tap into remote data sources where the data has not been integrated into the data fabric architecture. Tapping into data means that developers or scientists have real-time access to test data or can directly access information on a specific robotic arm on the manufacturing floor when anomalies are detected.โ
HPE Ezmeral: A modern data fabric
Armstrong concludes by explaining how HPE Ezmeral Data Fabric is a modern data fabric that can meet the data analytics needs of organizations today.
โHPE Ezmeral Data Fabric is a software-defined data store and file system platform that delivers trusted data to any data-driven organization by supporting multiple data types, application programming interfaces (APIs), and ingest mechanisms that augments data with AI/ML workflows. By leveraging community innovation, you can leverage the large and evolving set of tools and frameworks used today and in the future.โ
This type of single data infrastructure and platform-level data management allows organizations to reduce data silos while consistently applying policies across any data source or environment. Using the HPE Ezmeral Data Fabric, analytic and data teams can now focus on their tasks instead of their infrastructure.
After reading the article, I agree with Armstrong. A modern data fabric can be the holy grail of business insights.
You can read Armstrongโs full article here:
Learn more about HPE Ezmeral Data Fabric, the industry's first data fabric to combine S3-native objects, files, streams, and databases into a single scalable data platform.
Alison Golan
Hewlett Packard Enterprise
twitter.com/HPE_Ezmeral
linkedin.com/showcase/hpe-ezmeral
hpe.com/software
AlisonGolan
Alison Golan is a writer/editor for HPE's social marketing team. For 30+ years, sheโs been writing about technology โ from hardware and software to networking and streaming. She started her tech career as a public relations specialist, arranging media coverage with CBS, CNN, CNBC, The New York Times, The Wall Street Journal, Business Week, and Fortune. Today, she enjoys transforming technical jargon into compelling stories.
- Back to Blog
- Newer Article
- Older Article
- Dhoni on: HPE teams with NVIDIA to scale NVIDIA NIM Agent Bl...
- SFERRY on: What is machine learning?
- MTiempos on: HPE Ezmeral Container Platform is now HPE Ezmeral ...
- Arda Acar on: Analytic model deployment too slow? Accelerate dat...
- Jeroen_Kleen on: Introducing HPE Ezmeral Container Platform 5.1
- LWhitehouse on: Catch the next wave of HPE Discover Virtual Experi...
- jnewtonhp on: Bringing Trusted Computing to the Cloud
- Marty Poniatowski on: Leverage containers to maintain business continuit...
- Data Science training in hyderabad on: How to accelerate model training and improve data ...
- vanphongpham1 on: More enterprises are using containers; hereโs why.