Post-Trade Processing Modernization – Fast tracking the benefits of Analytics & AI while driving huge operational efficiencies Is there a financial services organization in the world who...
SAP SAPPHIRE + ASUG 2018 just came to an end. After speaking with customers and partners there, we came back excited for the present and future of SAP and our role in the ecosystem. The conference reaffirmed our strategy of delivering the best SAP solutions to you. At SAPPHIRE, we announced our latest FlashArray lineup being entirely SAP HANA certified, with the ability to host up to 44 nodes on the same FlashArray! We also had fun with our NVIDIA colleagues showcasing our joint solution, AIRI. This was particularly exciting as Pure Storage is doing in the storage world what NVIDIA is doing in the compute world; taking a complete new technological approach that fits new digital innovations such as AI.
Look for more blogs and announcements as the Pure/SAP partnership showcases more of our joint efforts.
One of the main announcements SAP made during the event that I would like to highlight here was SAP Data Hub. Data Hub has already gone through different iterations in its short lifespan and expanded beyond just a set of ETL and EIM tools. At this SAPPHIRE, it has been envisioned as the heart and blood vessels of all SAP and non-SAP systems in the intelligent enterprise. Fancy descriptions aside, it is now a data management, data orchestration and workflow tool. For this reason, we believe the best infrastructure to run SAP Data Hub on, is Pure Storage FlashBlade.
SAP Data Hub helps enterprises become more intelligent in many different scenarios. In every single scenario, FlashBlade empowers SAP Data Hub to accomplish it better. The more scenarios and data you utilize SAP Data Hub on FlashBlade for, the more intelligent your enterprise becomes. Let’s examine some of these scenarios and see how FlashBlade is fundamentally built to support them:
1. Image identification: The first step of building any image identification system is to train the model using large datasets. This includes image processing, image extraction and processing, and eventually connecting this information to the SAP ERP system. SAP Data Hub will connect and monitor these components. It needs the proper hardware to do this quickly as small file performance of the storage tier, including images, text and audio, becomes critical. If the storage tier does not handle small files well, SAP Data Hub will require more data refinement and its results would not be as efficient. Extra steps will be required to process data and performance will be affected.
Retail is a great use case for this. Returns can be easily automated as customers take images of their items and get them automatically exchanged. The ability to randomly read small files (50KB) at 10GB/s from a single FlashBlade chassis (50GB/s with 75 blades) means no extra effort is required to aggregate individual data points to make larger, storage-friendly files.
2. Data Lakes: We all heard how data lakes can quickly become data swamps if not built and managed properly. One of SAP Data Hub’s core missions is to tackle this problem. It also happens to be something our FlashBlade team is obsessed with. Many data centers have data lakes and data warehouses for analytics, running on dedicated silos of storage. Typical data lake and data warehouse infrastructure brim with complexities. Each application or use case will have a separate warehouse, each copying data back and forth from the data lake. For large enterprises with complex environments this becomes a nightmare to use, and for IT it’s a nightmare to manage.
FlashBlade is the industry’s first data platform engineered for a wide range of workloads from instant restore to AI to software dev and more. It is not only built for unstructured data, but any type of unstructured data. By definition, unstructured data means unpredictable data- data can take any form, size, shape, and can be accessed in any pattern. FlashBlade can accelerate any data, small or large, random or sequential. By having all these different types of data live and be processed on the same infrastructure SAP Data Hub is on, it will make its job exponentially easier to build and faster to process.
An easy use case here is in the financial industry. Using SAP Data Hub on FlashBlade, financial institutions can build fraud detection systems by building modern data lakes of social media streams on FlashBlade. SAP Data Hub can then tap into these data streams and integrate them into transactional data to S/4HANA. This of course relies on SAP Vora which is now a part of SAP Data Hub.
3. Predictive capabilities: We believe predictive capabilities can improve business processes so much that we built our own customer service and support using such skills. You can read about it here. SAP Data Hub on FlashBlade can automate business processes by continuously monitor and gather sensor data from IoT devices and eventually flag and integrate any special data back in the ERP system. An interesting use case here is the automotive industry. As automobile manufacturers facilities become automated, robots can continuously report back on their results, so humans can find more efficient ways and opportunities to shave seconds of their processes and improve the quality of their products.
4. RFID: The last use case I’d like to discuss might be the most boring, yet it could be the most common out there. As customers utilize FlashBlade for different use cases. It ultimately becomes “an all sorts of” data warehouse. SAP Data Hub takes advantage of this data by building workflows and orchestrate what type of data should go to what system on FlashBlade. In the airline business, RFIDs are tracked and gathered at incredible speeds and volume, but unfortunately many of these tagged items continue to get lost. SAP Data Hub can find these tagged items stored on a FlashBlade and automatically trigger emails to customers found in the ERP system.
I hope these use cases paint a picture of how the best of hardware and software can come together to offer your enterprise a multi-purpose solution, knocking out several strategic goals of your intelligent enterprise in one punch. While I am always excited to talk about our products, I truly believe describing to our customers how their projects’ success and ultimately their own success can be achieved easily with these solutions is a much more exciting endeavor.