DataPlatform

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here's another asset that illustrates how intelligence changes everything https://h20195.www2.hpe.com/v2/GetDocument.aspx?do...

Great stuff, David. How do we differentiate Primera from the competition. And what products from the Dells of the world does Primera compete directly against?

It takes everything you love about mission-critical storage - resiliency and performance - and eliminates everything you hate about it - complexity/forklift upgrades/etc. Breath of fresh air from high-end platforms like VMAX and PowerMax.

Thanks, David! I see Primera picking up a lot of momentum, and it is an exciting time to be a part of the HPE Storage co.

Here's a summary of the HPE Primera differentiators - http://www.hpezone.com/assets/pdf/Top_10_reasons_t...

in the intelligence era, it's important to have an intelligent data strategy

leveraging the ability to use both on-premises and off-premises infrastructure

@vishmulchand Thank you for using "premises". Grammar police have moved on to another venue.

@CalvinZito Amen to that!

Much of the enterprise response has been to implement a unified multi/hybrid cloud data-science DevOps workflow in order to leverage standard services in the modeling and training of data-driven AI in production apps.

there is a massive data storm coming towards every organization. Uncovering hidden insights from this data becomes important for driving a competitive advantage. AI/ML are key technologies in this journey.

intelligence around data copies where and how it is placed is crucial. An average production database makes 8 to 10 copies

our customers are seeking a Data Lake 2.0 strategy

Many enterprises are building hybrid-cloud data lakes to handle the exploding compute, storage, and I/O requirements for the AI/ML pipelines that are bursting with huge data volumes.

Copy data management is crucial to taming data growth. Taming data growth means understanding value of data and placing data at the right location for the right amount of time.

quick plug for Wikibon's Hybrid Cloud Taxonomy - data is of course a big piece of the discussion https://wikibon.com/hybrid-cloud-taxonomy/

@patrick_osborne What are the issues with their Data Lake 1.0 strategies that they're addressing as they seek 2.0 alternatives?

Based upon the many conversations across all our event and industry coverage the #1 thing that I hear is "don't just put data into a data lake".. create abstractions to get real time insights with software and enable it to workloads/apps

@stu David Floyer nailed that #hybrid analysis. He's ahead of all the research out there

The first Data Lakes were very batch and capacity oriented. Now customers are asking about efficiency, resiliency, and distributed and disconnected operations

We also see customers and applicaitons quickly moving to streaming and realtime decisions, especially when it comes to AI/ML data needs

nice share Calvin

Good one. Sharing this.

THat's a great one Calvin

the first area is every digital business needs to be always on and always fast and data is essential to this

data mobility and the ability to move compute and functions to the data without multiple copies, silos and bifurcation is becoming a real challenge at scale for my customers

Digital business is creating need for data to be persisted, secured, and optimized in place at a wider range of mobile, embedded, and other edge nodes.

This question teases out the #hybridcloud challenges of making data horizontally scalable for a particular workload

data is the key to enable intelligence so data management becomes paramount and even more strategic in the enterprise

Different use cases require different deployment and access models. Data management needs to have the agility to keep up with all of them. Mobility between these disparate models enhances the requirement

a digitial business is also creating lots and lots of data and AI/ML become paramount to unlocking hidden insight for uncovering better customer experiences and new revenue streams

data management can't simply be about storing and protecting it, it's gotta be about getting value from it, new business models, breakthrough innovation

being DATA driven is one of the keys of #digitaltransformation - IT needs to work closely with the business and allow data to be turned into insights and even new opportunities without compromising security

agility is another area that customers continue to reinforce to us. A digital business needs the agility of cloud, and it's important to have that both on-premises and in the public cloud

Included in data management, is being able to quickly analyze data and generate insights regardless of it lives on the edge, the cloud or on prem

And, as market changes accelerate, just keeping up!

Ultimately, intelligent storage is about offering relevancy to the business -- whether to an app owner, a VM admin, a cloud admin, storage admin, etc..

True -- it is a balance which depends on many factors .. scale, volume, lifecycle, etc .. It is for this reason our Intelligent Data Platform spans our portfolio, offering with ever evolving capability with our machine learning from the install base.

@ChrisTinkerDT Well said...

Agreed!

More to come!

they are a great team with awesome customers!

I love the data conversations but the workloads have to have the ability to dictate to data sources via software their needs

With Anthos the user dictates the storage requirements. #Kubernetes (the Anthos underpinning) StorageClass API objects creates data sources with a set of parameters that determines performance, capacity and placement. Leverage your Intelligent Data Platform to its full potential.

Google Cloud's Anthos combined with HPE Nimble Storage dHCI and HPE Cloud Volumes is enabling a true hybrid cloud for containers.

that is the holy grail use case

We have the solution today. Please see @storagesandeep reply.

Very well done! This content is relevant for both customers and partners. HPE Storage is truly differentiated!

Great ChalkTalk. Will check out the full version.

great content! just posted to my LinkedIn feed.