Unify analytics across hybrid cloud environments

[JoannStarke]

Harness data across the hybrid enterprise with HPE Ezmeral Unified Analytics. It simplifies analytics, AI, and ML projects so you can improve decision making and unlock new revenue streams. 

If you’re like 68% of modern enterprises today, you are working in a hybrid multicloud environment. You want to leverage analytics, AI, and ML but you are finding that while today’s analytic platforms come with promise, the hard truth is that challenges are preventing you from achieving their full potential.[1]

There are a host of reasons why. Primary among them is the need for a standardized set of enterprise-ready tools that work across diverse data types and formats residing across a variety of locations. The data needs to be accessible to a diverse set of data engineers, scientists, business analysts, and stakeholders.  But wait, there’s more. These challenges are closely followed with additional ones:  

• Rising cloud costs
• Unpredictable performance
• Vendor lock-in
• Security vulnerabilities
• Different/limited services across each cloud platform
• Data and analytic processing tools are on different platforms/locations   

Getting past some of these challenges requires a unified analytics platform, which has been defined in a new report by S&P Global (formerly 451 Research) as “a standardized set of enterprise-ready tools that work with a broad set of data types and formats across a variety of locations and data users.”

Hybrid multicloud environments contain a plethora of workloads, the combination of which varies by organization. For this reason, technology alone does not define unified analytics platforms, but rather how the technologies are integrated and function together, the type of users they service, and the use cases they support. In a recent Voice of the Enterprise survey, 451 Research breaks down the most common workloads and in what combinations:    

• 28% are running analytics, data science and operational workloads
• 21% running both analytics and data science workloads
• 12% are running analytics and operational workloads
• 5% are running data science and operational workloads.[2]

These workloads access a variety of data types and used by different personas and use cases which means that to be an effective unified analytic platform, any unified analytics solution needs to: 

• Provide direct access to data regardless of its location
• Deliver flexibility using an open architecture 
• Support a wide variety of data science and analytics tools

Confidently innovate, everywhere

HPE Ezmeral Unified Analytics Software helps solve these challenges by providing analytics and data science teams with a consistent SaaS experience and curated open source analytics tools. Watch this demo to learn more.

Without direct access to multiple data types, the efforts of analytics and data science professionals are severely hindered. That’s why this solution bundles in HPE Ezmeral Data Fabric to federate different data types across different sources into a consistent data plane that can be directly accessed by data-dependent individuals across any layer of every enterprise.  

Figure 1. HPE Ezmeral Data Fabric federates files, objects, tables, and streams into a unified data plane that is accessible by authorized users, apps, and workloads.

The built-in robust suite of data science and analytics tools make it possible for data scientists, engineers, and other data users to address the full life cycle of analytics from building pipelines to developing and deploying AI and machine learning models, and analytics workloads. 

Figure 2. A sampling of the open source tools integrated into HPE Ezmeral Unified Analytics Software. These tools are segmented by data analytics, data engineering, and data science categories.

Built on an open architecture, HPE Ezmeral Unified Analytics Software integrates open source tools and frameworks that have been curated and fully supported by HPE. This approach reduces unpredictable costs but also helps organizations avoid vendor lock-in common with proprietary software. It relieves the tug-of-war that occurs between data teams and corporate IT when apps, workloads, and models move from dev to production. Don’t see the tool you want? Users can import tools, custom applications, or third-party ISV tools easily by clicking on the green import application button seen above. 

Getting started with HPE Ezmeral Unified Analytics is as simple as signing up for a free instance to experience innovating at the speed of open source.  

HPE Ezmeral Unified Analytics Software and Ezmeral Data Fabric Software make up the HPE Ezmeral Software portfolio designed to allow organizations confidently innovate using their data from everywhere. Together these solutions enable organizations to harness data for analytics and AI/ML projects to improve decision-making and unlock new revenue streams.

Learn more about the value of unified analytics by reading the 451 Research report. 

Joann Starke
Hewlett Packard Enterprise

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1, 2. Voice of the Enterprise: Data & Analytics, 451 Research, 2022