SAP Data Intelligence is a new cloud service available on SAP Cloud Platform that provides the following:
All capabilities of SAP Data Hub, available as a service in the cloud
Additional machine learning capabilities:
Inclusion of Jupyter notebook for the ML experiment and design phase
Machine Learning Scenario Manager to manage all ML artifacts (e.g. models, data sets and pipelines) in one central place and also run pipelines for training or serving models
SAP Data Intelligence is the capabilities of SAP Data Hub and the SAP Leonardo Machine Learning Foundation combined into one integrated service in SAP Cloud Platform. In the graphic below notice the machine learning content is built on top of the SAP Data Hub capabilities.
When you launch SAP Data Intelligence, you see the SAP Data Hub Launch pad with a new application called “ML Scenario Manager”. This is where you can access the new capabilities.
Below is a view of the Jupyter notebook embedded within SAP Data Intelligence:
So, let’s address the common questions:
What does this mean for SAP Data Hub?
What does this mean for Leonardo Machine Learning Foundation?
What is the roadmap?
1. What does this mean for SAP Data Hub?
The new capabilities in SAP Data Intelligence will be available very soon in SAP Data Hub. Existing Data Hub customers will receive all new features via their maintenance agreement, at no additional cost. In other words, you can think of SAP Data Intelligence and SAP Data Hub as the same solution: the former is offered as-a-Service in SAP Cloud Platform, the latter is offered as a BYOL product that you can deploy on any of the supported Kubernetes environments (hyperscalers, private cloud or on-prem), and has a release schedule that follows the as-a-Service version by just a few months, for the new machine learning-specific capabilities.
Current SAP Data Hub version can already connect to Machine Learning services and APIs, including Leonardo Machine Learning Foundation (assuming you had the license), as well as open source or 3rd party ML frameworks (e.g. R, Python, Spark, TensorFlow etc.). The main difference will be that as the SAP Data Intelligence new ML capabilities are rolled-into SAP Data Hub you would no longer have to license Leonardo ML Foundation separately. Of course, you can also still use any other open-source or 3rd party ML frameworks too, both in SAP Data Hub and in SAP Data Intelligence.
SAP is totally committed in pursuing a multi-cloud strategy and supporting hybrid deployments: we will continue to invest to offer Enterprise AI integrated with Data Orchestration and Data Governance capabilities both as-a-Service (SAP Data Intelligence) and as a BYOL product (SAP Data Hub), to allow our customers to choose the best mix that fits their needs. Investments are equally safe on both options.
2. What does this mean for Leonardo Machine Learning Foundation?
The Leonardo Machine Learning Foundation evolves to become a capability of SAP Data Intelligence. Therefore, it will not be available anymore as a standalone service for new customers, who can buy it and consume it via SAP Data Intelligence.
You will notice that all new features come to both SAP Data Hub and SAP Data Intelligence.
So, what does all this mean? Here are the key takeaways:
If you have SAP Data Hub today or are considering using SAP Data Hub, you should continue knowing your investment is safe. The deciding factor on SAP Data Hub or SAP Data Intelligence is the deployment type, would you rather subscribe to a cloud service, or buy a perpetual license and deploy it in a Kubernetes environment of your choice (either in the public cloud, in a private cloud or on-premise).
You can use SAP Data Hub and SAP Data Intelligence for their comprehensive capabilities, which are the same:
Data orchestration across complex data landscapes, which can include distributed locations, different kinds of data, different kinds of processing engines etc.
Data scientist design, development and model lifecycle management with Jupyter notebook and ML Scenario Manager
Metadata management and data cataloging, labeling and profiling
The major use cases of SAP Data Hub and SAP Data Intelligence remain the same:
Machine Learning and Data Science
Business Application Transformation
IoT ingestion and orchestration
In summary, the top reasons to consider SAP Data Hub and SAP Data Intelligence are:
Scale AI across the enterprise: enable AI projects to move from POC to production and create an AI assembly line to better manage the data scientist/machine learning/AI processes, bringing IT and data scientists together.
Extract value from distributed data: orchestrate any data across any complex landscape, processing it close to where it lives using the most suited engine for each kind of data, minimizing the amount of data movement, and joining the dots across data silos.
Embrace Open Technologies: SAP Data Intelligence and SAP Data Hub both execute in Docker containers, orchestrated by Kubernetes. Both leverage open source heavily, and natively support many ML frameworks, both SAP and open-source or 3rd party, such as TensorFlow. They also can execute R, Python, Spark, and other open-source frameworks and are agnostic to the underlying infrastructure (as long as a supported Kubernetes distribution is available).
Look soon for more blog posts on SAP Data Intelligence detailed capabilities.
Artificial Intelligence has struggled to live up to the hype of recent years.
If you were to believe the buzz, AI would be responsible for automagically solving all our biggest problems with complex computer wizardry and granting all of us a life of leisure and simplicity. It reminds me of the Hitchhiker’s Guide to the Galaxy, in which hyper-intelligent beings design a computer to reveal the answer to the meaning of life, the universe, and everything–only to find out that the answer is 42, and they never knew what the original question was anyways.
At the same time, Information Management approaches have failed to keep pace with technological change. Most of this technology was built and designed for the days of on-premise applications that wrote to on-premise databases, where the goal was to extract data and load it into a data warehouse for BI and reporting. While that need still exists, the data that we manage and the ways we extract value from that data have all radically shifted and diversified.
We are left with a complex mix of structured, unstructured, and object store data residing in a blend of cloud and on-premise systems, with access often being limited or non-standardized via APIs. The result is a complicated landscape of data sprawl, tooling diversification, and data siloes. All of this leads to an increasing inability to “locate the wisdom we have lost in knowledge” and the “knowledge we have lost in information” (all credit where it is due to TS Elliott).
The combination of this failure of AI and Information Management can be seen in a few data points:
86% of enterprises claim that they are not getting the most out of their data
5 out of 10 early data science initiatives fail to get to production
74% say their data landscape is so complex that it limits agility
And perhaps most telling: 2/3rds of businesses consider machine learning and AI important business initiatives but only 1/3 or less are confident in their ability to implement them.
This is why we have developed an entirely new solution from the ground up, with open source and cloud principles in mind, to ask how you tackle these challenges in order to unlock the true promise of Enterprise AI and achieve Data Intelligence. Data Intelligence is what happens when you bring together both halves of the equation: managing your data wherever (and whatever) it is, and then extracting value from that data using the latest tools and techniques.
This article is part 1 of 4 in the What is Data Intelligence blog series. Stay tuned to find out how SAP Data Intelligence can help companies get business value from their data assets in a trusted, scalable, and governed fashion.
Start your free trial of Enterprise AI and Intelligent Information Management today.
The number one question I receive from customers is “Why combine spatial and enterprise data?” Spatial data is critical now more than ever to the Intelligent Enterprise. Customers are able to answer questions that they have never been able to before by bringing together spatial data together with enterprise data. These questions span industries and enable entirely new business models. Questions like:
Who are my most profitable customers within 10 min of a new store?
Where should I place the next railway node to prevent urban sprawl?
What customers/assets are at risk from an incoming storm due to flooding?
Using drones, ML and robotic process automation, what assets will soon need repair?
By spatially enabling the Intelligent Enterprise, our customers are not only driving existing businesses, enabling new business models, but ultimately improving human lives.
Customers who combine spatial and enterprise data have better insights, make better decisions and achieve greater innovation, and ultimately drive spatial into their business processes. With more than 20 years of co-innovation, SAP and Esri can help you do this. While Esri ArcGIS has been able to connect SAP HANA for years through query layers, as of early 2018, SAP HANA platform can run as the enterprise geodatabase. This means that both your GIS system of record (e.g. Esri) can run on the same platform as your business system (SAP ERP). The feedback from our customers has been tremendous with reports of increased performance, seamless integration of spatial and enterprise data and lower total cost of ownership.
These benefits are profound for both business and GIS analysts, who can now run analytics on spatial enterprise data in seconds and not minutes, hours or days. Query proliferation is reduced dramatically as there is no need to write multiple queries for better performance. Queries that are natively executed in SAP HANA can be run directly from Esri’s ArcGIS Desktop and ArcGIS Pro platforms. Summary tables or indices no longer need to be created or maintained for query performance.
Earlier this week, we announcedEsri now supports SAP Cloud Platform, SAP HANA service as an enterprise geodatabase. This is the first-ever database as a service that is fully support by Esri ArcGIS technology. Customers can now reap all the benefits of SAP HANA as the geodatabase either in the cloud, on-premise or hybrid deployments for ultimate flexibility.
City of San Diego, recipients of the 2019 Esri President’s Award, recently shared at the Esri User Conference how they are leveraging SAP and Esri to improve municipal service delivery and community collaboration. By running their Esri ArcGIS Enterprise and SAP ERP together on SAP HANA, City of San Diego was able to unlock insights and improve their emergency response services. The first of two live applications is a fire hydrant status viewer with the capacity to save lives by preventing firefighters from showing up to a fire and a dead hydrant. The second application is a sidewalk viewer, allowing the municipality and residents real-time view of sidewalk status for improved maintenance and accessibility.
Better yet we have two great ways to get started today. See here for more information aboug the recently announced SAP + Esri + AWS quick-start experience which comes with everything you need to get started from a free 30-day trial of SAP HANA service + ArcGIS Enterprise, video tutorials, sample data and maps. Ready to migrate off legacy databases? Visit theSAP® Database Migration Factory programfor free services using automation tools, industry best practices, and established processes to accomplish migrations quickly and with minimal risk and downtime.
Yes, you saw that right – SAP achieved a return on investment of 830% with payback in 1.2 months by establishing enterprise data management as an organizational capacity (the ROI increases to 1,180%, if factoring in the saving of SAP leveraging its own technology). This accomplishment has recently been recognized by Nucleus Research as a winner of the 2019 Technology ROI Awards.
Here’s the full story…
Don’t risk getting left behind.
Digital transformation requires organizations to regulate the lifeblood of their digital landscape. They need a rigorous system of data management processes for seamless integration and quality control. And, we see market leaders evolving from the digital era into an even more promising intelligent era as technologies such as artificial intelligence (AI), the Internet of Things (IoT), advanced analytics, and blockchain become mainstream. In the Intelligent Enterprise, data feeds intelligence which in turn feeds process automation, innovation, insight and optimal experiences.
In other words, it is all about the data.
An intelligent enterprise uses their data assets effectively to achieve the desired outcomes faster – and with less risk. That means providing business users with the right information at the right time within the appropriate context. It is also of utmost importance that business users can trust the information. Data governance plays a key role in ensuring that data sprawl is minimized, and data quality is maintained. This subsequently enables operationalizing the use of data in everyday business processes, driving the efficiency of the entire organization.
SAP knows data.
In fact, 77% of all transactions in the world touch an SAP system. SAP knows all about how the data drives the business – and ultimately revenue – to efficiently placing and sending order, to effectively managing the workforce, to ensuring repeat customers with a positive customer experience. So, when SAP embarked upon its own strategic business transformation, SAP recognized the need for enterprise data management as a strategic organizational capability.
And SAP saw results…
The SAP enterprise data management team leveraged SAP technology, including SAP solutions for enterprise information management, SAP HANA and SAP Cloud Platform, to eliminate time consuming, manual processes and automate data quality operations. Data initiatives were executed more quickly, with the average turnaround time being reduced by two thirds, delivering significant time and resource savings to the organization. More importantly, the SAP enterprise data management team supported growth across the business, supporting strategic business outcomes to increase marketing and sales productivity, improve business process efficiency and support business transformation. Ultimately, the enterprise data management capabilities allowed SAP to go-to-market faster, onboarding net new customers quicker and driving increased revenue.
“A great strategy is useless without proper execution, so operational excellence in SAP’s data management practice is absolutely key” says Thomas Ruhl, Head of Data Strategy and Operations at SAP. “This award is a great recognition proving that we are really delivering on our intent to making data work at SAP.”
Next week is our 11th annual customer event being held at our SAP Labs office here in La Crosse, WI. Go to our event website to register.
Our La Crosse office is home to a large segment of developers for SAP’s data management solutions such as SAP Data Hub, SAP HANA smart data integration/quality, Data Services, and Information Steward. We are also home to a large portion of the customer support organization for our Enterprise Information Management portfolio. We started this event 11 years ago to better connect with the significant amount SAP customers located near our offices in the midwest and also educate those not as familiar with SAP with our solutions.
Maria Villar (SAP) and Mike Alvarez (Cardinal Health) – “How to build a ‘Board Ready’ Data Strategy”
Jimmy Wilson (Northrop Grumman) – “Enabling Data Literacy in the Organization” at Northrop Grumman and how they’re leveraging SAP Information Steward to help.
Mustafa Mustafa (Ferrara Candy) – “Empower Everyone with Data using SAP HANA and SAP Analytics”
Intel – SAP HANA is the first, and only, major database optimized for Intel Optane DC persistent memory. Hear how this technology dramatically reduces TCO for deploying HANA.
Utopia and Cardinal Health – “SAP Master Data Governance as a bridge to S/4HANA”
Plus, you’ll get an opportunity to get hands-on experience:
SAP Analytics Cloud Hands-On Learning – Attend this three-hour session to get in introduction to SAP Analytics Cloud (SAC), analytics roadmap update, and overview of the SAP Digital Boardroom. Also get an in-depth hands-on experience using SAC to access and wrangle data, build basic and advanced visualizations, create stories, and experience smart discover and smart insights capabilities.
SAP Data Hub Workshop with Hands-On – Learn about the business challenges and customer scenarios addressed by SAP Data Hub, including a deep-dive into the major functionality areas such as governance, data pipelines, orchestration, and refinement. In this three-hour session, understand how SAP Data Hub can help your organization, perform step-by-step exercises to understand the technology, and provide feedback to the SAP development team on new and developing features.
Also, hear from SAP experts on the following:
Digital Platform for the Intelligent Enterprise
Updates from our annual Sapphire event: Data Warehouse Cloud, HANA Cloud Services, HANA 2.0 SPS04, Data Intelligence, SAP Cloud Platform
Use Cases and Success Stories for SAP HANA beyond SAP Applications
SAP Database Migration Factory – 1.5 hour deep dive into our Database Migration Services program. Are you moving to SAP S/4HANA or other SAP HANA-based solutions here about our free database migration factory services and tools.
We also make sure we have have a little fun at this event as well.
On Monday night, July 15th we have an optional pre-event reception from 3-7 PM (open to the public after 7PM so stop by if you arrive later as well) at the Charmant Hotel Rooftop Terraceincluding free drinks, appetizers and wood fired pizzas.
On Tuesday night, July 16th, we have an SAP Data Chef event including dinner at the Waterfront Restaurant and Tavern Cargill Room and where you will be able to network with other attendees and have 1-1 expert consultations on your topic of choice. Following dinner will be a Mississippi paddle wheel boat cruise on the La Crosse Queen. The cruise will feature an open bar and dessert will be provided by Meringue Bakery. The famous Jen Barney is preparing for the 18th RBA Pillsbury Baker’s Plus competition of 3D cakes in Las Vegas. We will be providing feedback to her on her creation as she continues to practice!
The event is FREE and includes your meals so what are you waiting for? Join us in La Crosse and REGISTER NOW!
If you have any other questions feel free to send me a direct message on LinkedIn.
The law of today’s business jungle is innovation – and SAP Cloud Platform and a multi-cloud strategy give you the agility to continuously adapt.
Keeping up with the relentless pace of business innovation and the technology that fuels it can be a daunting task. With constantly shifting customer expectations and an abundance of new applications that are easier than ever to adopt, enterprise technical landscapes are transforming on an almost daily basis.
So how do SAP customers keep pace? I think my colleague Irfan Khan said it best—the key to surviving and thriving in the twenty-first century business landscape is “a compelling digital foundation that not only unifies data systems and processes, but readies customers to continuously adapt to evolving business and technology conditions.” (Read Irfan’s blog, Part One in the series.)
The SAP digital platform draws on decades of SAP business process excellence and includes the integral and unifying SAP Cloud Platform—an innovation powerhouse for the integration, extension, and creation of corporate applications. The SAP Cloud Platform is a game changer for over 13,700 customers, representing companies of all sizes and industries all over the world. Distinguished by a modular, incremental approach, SAP Cloud Platform enables small, quick integration and extension projects that deliver value in only a few short weeks, or even in just a few days. After achieving near immediate measurable benefit on smaller projects, customers are increasing the scope and coverage of SAP Cloud Platform adoption to tackle bigger and more mission-critical application services projects.
An Integration and Extension Platform Supported by Business Services
The SAP Cloud Platform covers all aspects of integration, from SAP cloud applications to on-premises landscapes (and vice versa), to most major third-party solutions. Today’s enterprise landscape reality is a hybrid one—with on-premises solutions still heavily relied upon even as both SAP and non-SAP cloud application consumption rapidly rises. Our suite of integration options, along with prepackaged integration flows and business connectivity with third-party applications and APIs, allows customers to securely connect people, processes, data, and devices both inside and outside your organization.
All organizations need to distinguish themselves from the competition, and the SAP Cloud Platform plays an outsized role in helping businesses differentiate from the pack. Whether it’s adding custom settings to a new third-party cloud application or configuring an existing on-premises solution to meet new business challenges, SAP Cloud Platform provides productive and integrated approaches to extend existing cloud or on-premises solutions and applications.
Underpinning the platform’s key integration and extension functionalities are an enriching set of business services—including Analytics, Blockchain, Internet of Things, Master Data, Orchestration, and so much more—which help create a harmonizing layer of agility that spurs intelligent business solutions based on functional logic, which then stimulate growth and innovation.
SAP Cloud Platform also delivers an unparalleled, much needed collaboration between IT and decision-makers within the lines of business—a long-standing dilemma in our industry that, thanks to SAP Cloud Platform, might soon be a thing of the past.
SAP Cloud Platform is based on open standards and supports multi-cloud environments, offering complete deployment flexibility and control for any cloud infrastructure, whether from SAP or from the major hyperscalers like Amazon Web Services, Microsoft Azure, and Alibaba Cloud. Customers expect compatibility with their choice of cloud deployments, and SAP Cloud Platform delivers by focusing on integrating and extending applications, data, and processes, regardless of the backend infrastructure.
The Road Ahead
As an indispensable element of the SAP’s business technology platform, SAP Cloud Platform fuels corporate agility for quick and intelligent reactions to market conditions. Flexible integration and extension capabilities allow SAP Cloud Platform customers to integrate, extend, connect and differentiate in order to not only keep pace with the head-spinning speed of change in the digital age but also to adapt and evolve, keeping one step ahead of whatever tomorrow may bring.
Keep your eyes and ears peeled for SAP Cloud Platform announcements coming your way at SAP TechEd this autumn—including ones that highlight new business services and SAP applications built from the ground up by our developers using the SAP Cloud Platform.
In implementing a cloud-based data warehousing solution, how can on-premise and cloud work together seamlessly? What do you do if you have an on-premise database already? Do you have to move all your data to the cloud? You have questions, and we have answers.
SAP Data Warehouse Cloud addresses some of the core challenges that businesses face when it comes to managing reporting and analysis in modern data environments. It provides pre-built templates, integration to SAP and other data sources, and the power and flexibility of SAP HANA in-memory processing to ensure agility, speed, and simplicity.
SAP Data Warehouse Cloud is enterprise functionality made simple. Data marts and other data warehousing solutions are easy to build, allowing for faster implementation. Plus, SAP Data Warehouse Cloud removes barriers for departments, regions, divisions, or individual business users‒allowing them to set up data marts for projects and proactive research as needed.
SAP Data Warehouse Cloud’s simplified user interface makes it accessible to business users in a way that data warehousing solutions typically are not, giving a new level of access and control to the people who are closest to the data. It makes it easy to deliver a completed analytics solution that is flexible both in scope and access. And, critically, SAP Data Warehouse Cloud addresses the challenges associated with implementing a full cloud-based analytics solution whether data is located exclusively (or predominantly) on-premise, in the cloud, or in multiple clouds.
Getting to the Cloud
Introducing a cloud-based data warehousing solution in an environment where some or all of your data is currently on-premise raises questions about how the two environments can be made to work together successfully. What happens to the on-premise databases? Do you have to move them to the cloud or maintain copies of the data in two places?
The short answer is no—you don’t have to move it. That data can stay where it is, on-premise. SAP Data Warehouse Cloud can not only be used as a standalone cloud tool; it can integrate seamlessly with all your on-premise systems (whether they be SAP or non-SAP systems). You can either move the data to the cloud or access it remotely.
But “remotely” means something different where SAP Data Warehouse Cloud is concerned. The system provides simplified administration with centralized visibility and governance. This means that although the data may be located in two (or two dozen) different locations, it is being governed from one central point. The data warehouse cloud workflow concept treats the entire distributed data architecture as a single entity. It is your data repository. From an analytics perspective it is the single source of truth.
Finding the Balance
This allows organizations to find their individual balance between on-premise and in the cloud. Organizations with large on-premise databases don’t have to move to the cloud in a “big bang,” but can (for example) use SAP Data Warehouse Cloud to allow business users to extend the data provided by IT on-premise with their own data to conduct specialized reporting or analysis. This gives business users a cheap and flexible environment to conduct their individual analyses based on high quality, governed data from IT without interfering with the more stable IT backend systems. (Alternatively, an IT department can use SAP Data Warehouse Cloud to build new scenarios in the cloud—based on or combined with data they keep on-premise, allowing for an evolution into a full-fledged cloud data warehouse over time.)
Enabling business users to set up their own environments may be reminiscent of the classic “shadow IT” dilemma. But this is far from shadow IT. As Stefan Hoffmann outlines here, SAP Data Warehouse Cloud eliminates the painful security, trust, data quality, and other issues that come with shadow IT. It provides a new model of collaboration between IT and the business, in which the business has the flexibility and independence it needs while IT maintains the centralized governance that prevents chaos.
SAP Data Warehouse Cloud makes that evolution a smooth transition or a smooth series of transitions. For organizations looking to ultimately migrate to the cloud, SAP gives the option of defining as many steps along the way as makes sense for that enterprise. There are many possible hybrid configurations between a pure on-premise environment and a pure cloud environment, and SAP Data Warehouse Cloud supports all of them. You can take it fast or take it slow. The move to the cloud can be as agile, as gradual, and as incremental—or as accelerated—as makes sense for your business.
Customers who combine spatial & enterprise data achieve better insights, make better decisions and are more innovative, ultimately pushing spatial data into business processes. The end result is enterprise scale location intelligence and this is key competitive advantage and is a critical component on your journey to becoming an Intelligent Enterprise.
Three powerhouses in enterprise applications & databases, GIS & location intelligence, and hyper-scalable infrastructure – SAP, Esri & AWS, we are excited to offer a brand-new experience – the SAP & Esri QuickStart program. Launching in September 2019, this is guided experience that comes with everything you need to explore the pure power & performance of Esri ArcGIS Enterprise with SAP Cloud Platform, HANA service, SAP’s flagship in-memory database-as-a-service, which is fully-managed, scalable, elastic, and consumption based for flexibility. Add in the power of data visualization with SAP Analytics Cloud & Esri to see how the combination of enterprise & GIS data can be so easy and yet, so powerful. Included is a 30-day free trial of SAP HANA service, Esri ArcGIS Enterprise and SAP Analytics Cloud along with video tutorials, sample demographic data and maps, and quick-start content. Join weekly webinars where SAP and Esri experts answer your questions and stay informed with helpful content throughout your journey.
Experience the power of running your ArcGIS system of record on the same supercharged platform as your enterprise system of record – SAP HANA. By having both systems running on the SAP HANA service, you can now seamlessly combine, process, and analyze spatial & business data in seconds and not minutes, hours or days. Due to the in-memory architecture, there is less effort and a lower achievable total-cost-of-ownership due to the simplification. No need to write multiple queries or create and maintain spatial indexes or aggregates for improved performance. The end results are increased performance, seamless integration of spatial and enterprise data, and lower total cost of ownership – ultimately, better insights and decision making.
Get started NOW by pre-registering for the SAP & Esri QuickStart Experience powered by AWS here. We will keep in touch and you will be the first to know when we launch in September 2019.
Customers who combine spatial & enterprise data achieve better insights, make better decisions and are more innovative, ultimately pushing spatial data into business processes. The end result is enterprise scale location intelligence and this is key competitive advantage and is a critical component on your journey to become an Intelligent Enterprise.
Three powerhouses in enterprise applications & databases, GIS & location intelligence, and hyper scalable infrastructure – SAP, Esri & AWS, are are excited to offer a brand-new experience – theSAP & Esri QuickStart program. Launching in September 2019, this is guided experience that comes with everything you need to explore the pure power & performance of Esri ArcGIS Enterprise with SAP Cloud Platform, HANA service, SAP’s flagship in-memory database-as-a-service , which is fully-managed, scalable, elastic, and consumption based for flexibility. Add in the power of data visualization with SAP Analytics Cloud & Esri to see how the combination of enterprise & GIS data can be so easy and yet, so powerful. Included is a 30-day free trial of SAP HANA service, Esri ArcGIS Enterprise and SAP Analytics Cloud along with video tutorials, sample demographic data and maps, and quick-start content. Join weekly webinars where SAP and Esri experts answer your questions and stay informed with helpful content throughout your journey.
Experience the power of running your ArcGIS system of record on the same supercharged platform as your enterprise system of record – SAP HANA. By having both systems running on the SAP HANA service, you can now seamlessly combine, process, and analyze spatial & business data in seconds and not minutes, hours or days. Due to the in-memory architecture there is less effort and a lower achievable total-cost-of-ownership due to the simplification. No need to write multiple queries or create and maintain spatial indexes or aggregates for improved performance. The end results are increased performance, seamless integration of spatial and enterprise data, and lower total cost of ownership – ultimately, better insights and decision making.
Get started NOW by preregistering for the SAP & Esri QuickStart Experience powered by AWS here. We will keep in touch and you will be the first to know when we launch in September, 2019.
…or at least make life a lot easier for businesses looking to boost performance across complex and multi-cloud environments
In my previous blog, we looked at how we have democratized SAP HANA by opening the platform up to the widest possible set of cases, data types, applications, and deployment options. The next step in the democratization of SAP HANA involves broadening the platform’s applicability to even more use cases across hybrid and multi-cloud environments—building on SAP HANA’s ability to easily run high-performing applications across multiple clouds, on hybrid landscapes, and on premise.
SAP Data Warehouse Cloud is a new data warehousing solution which enables organizations to leverage all the advanced capabilities of SAP HANA without incurring massive upfront costs often associated with data warehouse implementations. You can start small and grow as needed. SAP Data Warehouse Cloud comes with a rich set of connectors that simplify accessing data wherever it is located; it provides frictionless integration with all varieties of on-premise systems (both SAP and third-party).
With SAP Data Warehouse Cloud you have the choice between moving data to the cloud by replicating datasets or accessing data remotely. This approach allows the organization to find the right balance between on-premise and cloud deployment. So, for example, a company with large on-premise databases doesn’t have to move everything to the cloud in a “big bang”. With SAP Data Warehouse Cloud, business users can extend existing shared on-premise data with their own data in the cloud. Alternatively, IT can use SAP Data Warehouse Cloud to build new scenarios in the cloud—based on or combined with on-premise data—allowing for an evolution into a full-fledged cloud data warehouse over time.
Elasticity and Scalability via Spaces
SAP HANA Data Warehouse Cloud addresses the topics of elasticity and scalability with a new concept called spaces. Spaces make it possible to scale individual areas of the data warehouse or data mart independently, rather than having to build huge monolithic systems. Functionality built into the SAP HANA core allows SAP Data Warehouse Cloud to intelligently replicate data to the specific space where it is required, instead of bringing all data together whether needed or not. In conjunction with independently salable spaces, quota assignment enables users to control how much compute and storage capacity a defined set of users, typically an individual line of business (LOB), can consume.
Managing Operational Costs
Imagine you have one department that requires a lot of compute power for a process that runs at the end of the month. Instead of having to scale up the whole data warehouse instance, you will have the option of scaling up just for that process. This approach works well with reports that require a lot of compute power, but less storage capacity. Many financial reports, for example, fit into this category. Scaling storage and compute independently also supports scenarios in which reporting requires a lot of storage, but less compute power. This may include reporting on weblogs, audit trails, sales apps, etc. On the other hand, this approach works just as well with reports that require a lot of compute power but less storage capacity. Many financial reports, for example, fit into this category.
The space concept enables architectures in which defined user groups can consume and enhance trusted data without needing to replicate the data first. Quota assignments act as a kind of rail guard for the LOB—ensuring a durable, mature data mart solution without requiring knowledge of or time devoted to the technical setup required to operate such an architecture.
With SAP Data Warehouse Cloud, your organization does not have to dedicate resources to SAP HANA setup and administrative questions. Operating a traditional large-scale enterprise system requires a team of skilled IT professionals, dedicated to securing corporate data, providing consistent and trusted data, ensuring availability of the data 24×7, etc. With SAP Data Warehouse Cloud, the business can focus on deriving value out of the data rather than on focusing on these operational tasks.
IT professionals are a scarce resource. They typically have the capacity to provide standard services for the entire enterprise, but there usually aren’t enough of them to cater to all the individual wishes and requirements of today’s business users. Additionally, the systems they operate need to provide reliable and stable services. This means, they cannot be modified ad-hoc, but only via rather strict and governed processes. Consequently, new generations of business users, digital natives with an affinity for technology, increasingly ask for self-service analytics capabilities. These allow them to leverage the data provided by IT and experiment with it on their own. SAP Data Warehouse Cloud incorporates collaborative features that bridge the gap between business and IT professionals.
Empowering business users to explore and leverage the data they need on their own is the latest and most advanced step in the democratization of SAP HANA. It is a step you are all invited to be a part of.