Program will launch in December with HPE Ezmeral Unified Analytics Software and HPE Ezmeral Data Fabric Software. Join now to experience how simple, extensible, and transparent data and analytics can be.
Over 90% of enterprises across industries say they are using data for at least some strategic decision making. But explosive data growth (projected to reach 175.8 ZB by 2025) thatโs being generated, processed, and stored across the edge-to-cloud continuum is making this increasingly difficult.
My conversations with customers echo this, with most telling me they struggle to find the right technologies and tools to efficiently consume data across hybrid multi-cloud environments and successfully put that data to work in their analytics projects.
They also express that they donโt have the luxury of time to wait for those technologies โ they have real data analytics problems that must be solved today. This is why Iโm excited to announce the new HPE Ezmeral Early Access (EEA) program, which allows developers to try HPE Ezmeral products before theyโre released, as well as give inputs on the features to ensure the eventual delivery meets their needs.
The first two products that will be available through EEA are:
HPE Ezmeral Data Fabric Software
HPE Ezmeral Data Fabric Software is targeted at solving the hybrid data dilemma by delivering a consistent experience for data from edge to on-premises to public clouds.
When you enroll for this beta, you get immediate access to a 300 GB data fabric with our fully featured file, object, and stream capabilities. With just a few clicks, you can experience how easy it is to set up, create, control, and collaborate across a connected data layer. This program is currently hosted in an HPE data center, but in the next few weeks users will be able to spin up and connect our data fabric across all three major public clouds to address multi-cloud use cases.
This has immense value for any application developer or data science team innovating across distributed environments.
For example, manufacturing โ where major global data collection points can number in the thousands โ is an industry positioned to benefit tremendously. HPE Ezmeral Data Fabric Software can easily manage and provide seamless global data needed to develop and train models, regardless of the dataโs location. Those models can then be pushed out across the data fabric to the business edges to provide real time insights. Thereโs even the opportunity to simplify data compliance management with our native geo-fencing capabilities.
HPE Ezmeral Unified Analytics Software
Our second offering, HPE Ezmeral Unified Analytics Software, delivers an integrated and supported set of open-source tools to make it easier to develop and deploy applications faster. It provides a fully managed data science and analytics sandbox that addresses the full lifecycle of data engineering, exploratory data science, and classical business intelligence tasks using popular tools like Apache Spark, Apache Superset, Presto SQL, Apache Airflow, Kubeflow, MLflow, Great Expectations, and Feast.
The purpose of this beta is to highlight how โeasyโ data science and app development can be by removing the traditional tooling, configuration, and access bottlenecks.
With single identity across these toolkits, you get to experience the seamless delivery from data to model deployment using the latest open-source innovations.
For instance, HPE Ezmeral Unified Analytics Software allows a user to simultaneously aggregate data with Superset, create a repeatable data ingest workflow using Airflow, train models and experiment on the same data programmatically through Jupyter notebooks and deploy in production using Kubeflow Kserve. Finally, users can even connect the Unified Analytics with Data Fabric with a single button click to scale the solution across hybrid environments.
This is ideal for developers who need to innovate quickly using the latest open-source toolkits and frameworks. Take financial services where fast and accurate fraud detection is an ongoing challenge. Getting it right is critical to both fraudulent asset protection for financial institutions and their customersโ experience โ when legitimate transactions are flagged as fraud it creates friction for end users. Using HPE Ezmeral Unified Analytics Software, developers can deploy applications faster and quickly deploy across the enterprise to stay ahead of the fraudsters.
Get started with HPE Ezmeral: the foundation for successful analytics
The HPE EEA program is an excellent way for developers to experience the simplicity, manageability, extensibility, and transparency that HPE Ezmeral brings to hybrid data and analytics. Iโm excited about the possibilities and invite all the data scientists, data engineers, and hybrid app developers to join us on this exciting journey by taking part in the HPE EEA program so you can:
Start addressing your hybrid data and app development challenges today. Get hands-on experience with leading edge technologies that make it easy to develop and deploy across any environment
Try before you buy. Allows you validate the software in your environment before committing to a purchase
Help build the future. Participate in an agile process where your inputs help define new hybrid cloud solutions
For more information on these two products, I encourage you to read the following blog posts on our HPE Developer community:
Call for HPE Ezmeral Unified Analytics Software beta testers
Mohan Rajagopalan
Hewlett Packard Enterprise
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M_Rajagopalan
Mohan leads the HPE Ezmeral R&D and product management organizations. In this role, he combines a deeply technical background with a passion to bring new technology to market. He joined HPE from Splunk, where he led the AI/ML and next-gen analytics product areas. Before that, he started and led two companies focused on bringing advanced analytics and data science into the enterprise data stack. Mohan started his career at Intel Research followed by a brief stint at McKinsey & Co and was the recipient of the 2005 IEEE/IFIP dissertation award.