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14:33 Video

Get the Most Out of Your Data Analytics (Sustainably!) with SAP & Pure Storage

Keep the momentum going while you’re moving to the cloud without losing existing investments. This session covers how SAP’s Data Warehouse Cloud ensures that data is meaningful, flexible, and agile. In addition, Pure Storage provides sustainable infrastructure that is resilient and cost effective.
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00:01
Mhm. Hi, everyone. Thank you for joining us for this session. I am Peter Koslowski with your storage and I worked very closely with S A P in our global Technology Partnership programme, in which pure storage and ASAP co innovate solutions. Supporting S A P Hana and s A. P. S four Hana that intelligent enterprise
00:30
portfolio. It is my pleasure to have Tom Traube. It's from s a p with us. Tom, why don't you introduce yourself? Hello. I'm Tom Roberts and I'm with S A P s data warehousing team. Glad to be here today.
00:45
Thank you, Tom. So you now can feel that we will be talking about data here data, which is the new gold. The most important assets, Uh, digital economy has, and from our partnership perspective between pure and ASAP, our contribution here focuses on delivering, simplifying, actually ASAP operations at scale. So probably some of you are essay
01:15
Bahana customers or planning to go deploy asap. Hana. So there are a couple of very important topics here around data management and storage management, which includes data protection around somewhere, simplifying the operations of ASAP environments delivering infinite scale out for S a p Hana as we see the amount of data growing almost on daily basis,
01:43
providing automation, business continuity. So this is more on the homicide now. There is another very important aspect of the modern applications coming with with S four Hana Intelligent enterprise and S A P business technology platform is one of those platforms where those applications reside and run, and we provide data services to enable those applications to provide full data mobility support the analytics functions deliver data
02:13
protection in those environments. And finally we partner around delivering cloud operating model rise for CP, in which we focus on delivering based, consumption driven model which provides support for entire infrastructure stack so not only storage but also compute and storage. And it's driven through the idea of continuous innovation because all those infrastructures
02:42
which you are deploying were required to innovate, and you need to have a paradigm of the continuous innovation of the infrastructures you have. There is a new aspect which is absolutely critical to all of us as the sustainability and pure storage is an innovator in the space delivering infrastructures which help you actually save energy storage space. Lower the G H G emissions.
03:12
So this is yet another area. Very close partnership with the CPI, John, Back to you. Thanks, Peter. What I want to talk to about today is what s a P has been working on in the area of data warehouses. Bringing data warehouses to the cloud has added a number of new challenges, but they can kind of be summarised as how do we make data
03:36
meaningful without rebuilding all the systems that we have developed over years of work in our enterprises? How do we maintain our data context? How do we keep a level of flexibility for the business without sacrificing good governance? And how on earth are we going to even innovate without losing existing
04:01
investments? It's sort of the innovator's dilemma to bring along a lot of our work into the cloud without losing all those investments that we have spent decades building up. So s a P data warehouse Cloud is about making data meaningful in the cloud. It is a unified data and analytic service that provides a complete end
04:30
in solution with one semantic view designed both for business and it it allows and users to access semantically rich data from any source. It gives businesses the flexibility while still allowing that I t peace of mind and it allows us to keep innovating while still leveraging our existing investments. Why don't I take you through each of those?
05:01
So first of all, s A P looked at the accessing semantically rich data from any source. The typical approach that a lot of solutions in the past tried to take was just a copy and move the data just to keep up the performance thresholds. They tended to flatten the data. As we say in the data business.
05:24
They took away a lot of the structure and they then left a lot of that onerous data modelling and transformations while living end users to sort of try to figure out what that lineage was going to be. So it was a good copy of the data, but a lot of context was lost as to how that data relates to other parts such as the customer, the product,
05:51
the order, so s a P data warehouse cloud was designed to allow you to utilise the complete meaning and value of your s a P data be able to easily trace the data lineage and transformation so that when an end user was looking at that data, they would have better governance and better confidence in that data and then, very importantly, allow you to Federated your data across systems and clouds so that even
06:22
if you still had things on premise or you had data in multiple clouds, you could still bring that image of the data together to make it easier for end users to get that semantically rich data regardless of where its data source was. So Data Warehouse Cloud gives you meaning to your data instantly. The next problem that we looked at was how to give businesses flexibility and I t piece a
06:49
blind. And what we saw was that quite often it created a very nice central company data area with governance and security and trust around it. But very quickly, Department started making extracts of that data, copying them to their own systems, maybe needing to change the data model quickly, maybe combine it with external data and then would analyse that outside that area of trust
07:22
and with those copies, maybe start emailing them around, using spreadsheets to communicate data and what ended up happening was that data would quickly get out of date. It would be out of control because it was just on a spreadsheet being emailed around. Compliance was put at risk, and worst of all, insights would start getting inaccurate.
07:47
So Data Warehouse Cloud was designed to bring all of that together inside a zone of trust. So s a P data warehouse cloud allows a technique called spaces, and each department can have its own space. The central company data can exist as a space, and these departments can then share that data within data warehouse clouds. So insights, data sets,
08:13
analyses can all be shared inside that zone of governance, security and trust. We've also added a couple special spaces, one of which is VW Bridge, which I'll talk about next and also about data marketplace, which was it looks like a space. But what it allows you to do is to bring in external data purchased from vendors and control it so that external data is
08:42
now legitimately within the zone of trust. It's protected your usage and governance of that data is controlled. So it all stays together. And all of this is while being able to choose the cloud provider. The best meets your needs. Data warehouse cloud is not anchored to a
09:03
single service for providing your underlying infrastructure. So Data Warehouse Cloud allows you to take together all of the OBOP BW investments that you've already built and retain that instant access to your s a P data while keeping those familiar structures in your data. So it allows you to bring business suite s four hana data together
09:39
into this environment, but still allowing users to keep the familiar models and the familiar connectivity to that data that they've already had. So all of those creative investments that your end users have built up over the years can now be brought into data warehouse cloud so that you have a nice environment now to continue to innovate in the cloud.
10:05
But all of those models business processes that you built up are no longer need to be left behind or reinvented for your cloud environment. And we're not the only ones who think that this is really great. The Forrester wave took a good look at our technology. It's available on our website. If you wish to look at the report in detail,
10:28
but we were clearly leading and how to bring together data management for analytics. And not surprisingly, Gartner also thought that are underlying DBM s, which is the Hana system is a complete, well designed cloud system and is also a leader in that cloud environment. So you can also read a complimentary copy of that report through our website.
11:00
So to wrap up ASAP, data Warehouse Cloud goes beyond the traditional budgeting of data into one central place. It goes beyond traditional data warehousing. It brings your data together in a semantically rich environment so that you can maximise the value gained from S A P data for better decisions. It is straightforward to trace your data lineage and transformations.
11:27
It provides that flexibility and peace of mind so that you can share insights, models and data with decision making systems that meet those security standards. It provides a virtualised space for that safely combining of corporate and external data so that no more are we operating on spreadsheet passing and it keeps that innovative environment while not leaving behind all of that pre built work that you've
11:59
already done. It also allows you to save time modelling with pre built accelerators both from S A P and third party data solutions. So with that, I'm going to hand it back to Peter. Thank you, Tom. It is truly inspirational to see how s a P enables the digital enterprise in which data is always in the centre of everything your
12:23
business needs, right? This is truly, truly amazing. And I'd like to comment on the infrastructure side for just for a little bit because I strongly believe that this new digital enterprise paradigm calls for a new approach to the infrastructure to power s a p intelligent and sustainable enterprise in infrastructure which is highly performant, which is programmable,
12:53
which is resilient and cost effective and which is sustainable, right? I strongly believe that you cannot build that infrastructure the way how we used to do it in the previous decades in which we would build an infrastructure, deploy the solution and then run it. And then after several years, we will rebuild or build new infrastructure and deploy new
13:19
solutions. Run it. I strongly believe that this digital economy and digital enterprise calls for infrastructure which innovates itself right, and while reducing costs and environmental impact. And this is this is what your storage brings into the partnership with S A. P. And this is what we're very proud of bringing
13:46
to our mutual customers. Come back to you. If you want to start your journey today and there'll be links to these, we have a guided experience for data Warehouse Cloud. We also have a community, both for training where you can learn more or join a conversation
14:05
with other cloud experts from S A. P. And we also have a calculator, just in case you want to take a quick look at what kind of savings you're going to gain by using S a p A data warehouse cloud for your data storage so that, thank you very much. We really appreciate you being with us today.
  • SAP
  • Technology Alliance Partner
  • Video
  • SAP Solutions
  • Pure//Accelerate
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