But the systems giant, which acquired MapR Technologies in 2019, seems convinced that it’s poised to leapfrog the industry leaders in this space by delivering a third-generation platform that uses the latest technology to deliver high-performance analytics and machine learning on prem and in the cloud without the high costs or lock-in that customers have grown to expect from the cloud.“The way we think about it, we are in the third generation of data analytics,” said Vishal Lall, the senior vice president and general manager of GreenLake Cloud Services during a presentation Monday. It also launched a Kubernetes-based object storage system called Ezmeral Data Fabric Object Store that’s aimed at making data available wherever it needs to be accessed.HPE may be playing catch up in the big data analytics space. But if you’re Databricks, you might not be too flattered by HPE, which today announced Ezmeral Unified Analytics, a new lakehouse offering based on Spark and Databricks’ Delta Lake technology that customers can run on-prem at two-thirds the cost of public cloud offerings, HPE claims. Underlying Technology ExampleAs a Software Developer or a Technical Lead, you will be responsible for development in the cloud infrastructure storage area, implementing and consuming APIs.Imitation may be the sincerest form of flattery. Magnetics/Other (Superconducting Storage, Magnetic Materials, Inductors) Proposed ATOs Active ATOs Non-ATO Programs 6. Army Research Laboratory Army Power & Energy: S&T Focus 10th Annual Science & Energy Technology Conference 21 April 2009 1.
And as they look at Spark or Delta Lake, they’re like, there’s nothing on premises.”HPE Ezmeral includes four components (image courtesy HPE)That’s the sweet spot that HPE is looking to occupy with its evolving Ezmeral offerings, which it first launched back in June 2020 as its platform for running containerized analytics, machine learning, and AI workloads. “They find that there isn’t really much of a product roadmap when it comes to existing technologies like Cloudera or Hortonworks. “Customers who are on the second generation or the first generation technology are finding themselves to be stuck,” he said. The public cloud platforms and vendors like Databricks helped to address that problem, but with caveats and higher costs.But not everybody has a path forward, Lall said. Then in the early 2000s, we entered this era of unstructured data, where big data lakes were formed new companies like Hortonworks and Cloudera.”The second-generation Hadoop offerings hit a wall when it came to support for transactions, which necessitated an extensive amount of inefficient data copying, he said. Then it was all about structured data at that time.
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It’s all based on Apache Spark at its core. “We’re deploying those open-source libraries and we’re delivering that as a service through HPE Green Lake, but deployable across these various environments. There is also RAPIDS Accelerator for Apache Spark, software from Nvidia designed to accelerate Spark workloads running on GPUs.Ezmeral Analytics is “the industry’s first solution for hybrid lakehouses and analytics,” claims Matt Maccaux, HPE’s global field CTO for Ezmeral software. Then there is Ezmeral Analytics (one of the new components), which includes Apache Spark, the Swiss Army knife of data engines, as well as Delta Lake, the open source storage layer created by Databricks that brings ACID transactions to Apache Spark and big data workloads.
“We have a hybrid native environment, which is basically you can run your cloud where your data is using this platform, on premises or on co-los,” he said. Atop of all of this, HPE is working with dozens of ISVs to enable their offerings to run within Ezmeral Analytics, including H2O.ai, Starburst, Dremio, and others.Ezmeral Unified Analytics supports different personas (image courtesy HPE)It’s all about choice, Lall said. Finally, there is the new Ezmeral Data Fabric File and Object Store, which it says is the industry’s’ first storage repository that combines an S3-native object store with support for files, streams, and databases, all in one platform that runs on prem, on the edge, or in the cloud.
“We’re deploying Apache Spark as that core runtime and the broker for a lot of these services. ”The capability to support different users and the tools they need, whether it’s code-first data scientists working in a Juypter notebook or data analysts working in Tableau, is a hallmark of HPE’s Ezmeral approach, Maccaux said.“When we say unified analytics, what we mean is a common set of app stores where these users can come in to spin up their tools,” he said. That way you don’t feel locked in as a customer and then eventually that translates into more TCO.
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