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What is Docker?

Marcin Tkaczyk


During our last project delivery, which is coming to a successful end, we came across a new concept of docker, which helped us a lot with build and deployment of our applications.

Docker is a tool designed to make it easier to create, deploy, and run applications with the help of containers. Containers allow developers to package up an application with all of the parts it needs, such as libraries and other dependencies including code, runtime, system tools, system libraries, database – anything that can be installed on a server, and ship it all out as one package. Docker containers:
• Have everything that is needed to run application
• Are created from image
• When container starts to run, a new layer on image is created.

For more information, including sharing last presentations, feel free to contact Pawel - pawel@sapmatics.com

All the Best in the New Year 2017

Marcin Tkaczyk

Wishing all SAP Community and everybody to slow down and have some rest during the Christmas holiday. May the New Year 2017 bring you joy and fulfilment of all the goals that you have set on both professional and private grounds.

Our plans for next year, aside from regular project work that keep our key account happy, include going live with the internal project called Knowledge Base, which is scheduled early 2017. Product development has been carried out in the last few months and the beta version has been evaluated beginning December. We are in the process of incorporating valuable feedback into the design, fixing a few issue that were observed, and optimising the search engine that is key part of the solution. We will be disclosing more details very soon.

Bringing Machine Learning into Practice

Marcin Tkaczyk
SAP Chief Innovation Officer Juergen Mueller at the SAP TechEd, held last month in Barcelona: “SAP has a clear way to deliver business value with machine learning”. Machine learning prototypes demonstrated at SAPPHIRE NOW in May, available as applications in 2017, are one of those ongoing initiatives which prove that the outlined strategy is actually put into practice. This initial set of application will cover time-consuming problems in the following areas:

• Accounts Receivable: matching incoming payments by learning from accountants’ past actions, and automatically processing future payments on their behalf.
• Detecting logos in high-definition video: this new technology, called computer vision, lets brand owners understand the ROI for advertising spend more quickly and precisely - by identifying where and when branded material appears in televised events.
• Customer Service: by classifying and clustering tickets as well as evaluating historical activities, system can learn how to propose solutions and accelerate response times.

Machine learning enables computers to learn from large amounts of data without being explicitly programmed to do so. Machine learning gives rise to new intelligent applications, from self-driving cars to intelligent assistants on smartphones. With the analytical capabilities of HANA database, SAP has a lot to offer in this area by leveraging existing programming models (R and Python), used so far primarily in the SAP Predictive Analytics and data mining solutions.

SAP Announces €2 Billion IoT Investment Plan

Marcin Tkaczyk

SAP has recently announced investment plans of €2 billion over five years to help business and government entities benefit from the proliferation of sensors, smart devices and Big Data that is transforming business with the Internet of Things (IoT), market, which is estimated to reach €250 billion by 2020.

Bill McDermott: “With billions of connected devices, we now have the potential to reshape society, the economy and the environment. SAP HANA is the data platform we knew would unlock the Internet of Things. Today SAP is making another bold investment to help our customers seize the benefits of live business. Only SAP empowers businesses to innovate from the core to the edges to the networks.”

The outlined strategy will focus on the following key areas:

• SAP IoT: From Information to Insights, Action and Live Business.
Use of Big Data for machine learning and integration with S/4HANA; connecting people, partners, things and the physical environment; real-time, live intelligence; more immediate customer and stakeholder value.

• Innovation in New Solutions: Industry 4.0 Solution Packages.
The jump-start package to monitor equipment effectiveness and provide insight into shop floor operations, as well as the accelerator package that adds an automated, paperless, manufacturing execution and control environment, performance analytics and advanced plant maintenance, are already available. Both packages are complemented by the SAP Distributed Manufacturing application for additive manufacturing 3D printing services. SAP plans to introduce the third Industry 4.0 solution package, the “advanced” package, to provide advanced manufacturing insight and controls, machine learning functionality and predictive analysis for quality and maintenance operations. SAP also plans IoT package solutions to address the unique digital operations of cities, agriculture and energy industries.

• Innovation in the IoT: PLAT.ONE, Fedem.
SAP has acquired PLAT.ONE, an enterprise-grade IoT provider that simplifies the process of creating, deploying and managing complex IoT solutions. PLAT.ONE provides expertise and technology to accelerate the availability of key IoT capabilities in SAP HANA Cloud Platform. SAP has also recently acquired Fedem Technology, specializing in advanced engineering analysis and building software for multibody dynamic simulation and lifetime calculation of structures and mechanical systems under the influence of complex loads. With this acquisition SAP plans to build an end-to-end IoT solution in which a digital avatar continuously represents the state of operating assets through feeds from sensors, replacing the need for physical inspection with a digital inspection.

• SAP IoT Labs: Enabling Global IoT Transformation Across the Globe.
SAP plans to establish locations around the world to collaborate on Industry 4.0 and the IoT with customers, partners and startups. SAP IoT labs are intended as lighthouse locations and primary access points for IoT research, development, proof-of-concept modeling and incubation, with IoT showcases, thought leadership, expertise and infrastructure for strategy and product co-innovation. Planned locations include Berlin, Johannesburg, Munich, Palo Alto, São Leopoldo and Shanghai. The labs are intended to provide customers with access to co-innovation resources including design thinking experts and workshops, and interactive demos of IoT-related technology including autonomous systems (such as drones and robotics), IoT security, machine learning and 3D printing.

SAP Launches New IoT Solution: SAP Connected Goods

Marcin Tkaczyk

SAP has recently launched SAP Connected Goods, a new cloud-based IoT solution delivered on HANA Cloud Platform. It is designed to automate core processes by connecting with smart devices, for example vending machines, ensuring adequate stock levels, proper storage conditions, monitor performance, utilisation, and proper functioning.

According to 2015 IDC Worldwide Internet of Things Forecast, by 2020, there will be a projected 30 billion connected devices, appliances, machines, and other physical objects. Not just smartphones and tablets, but almost anything with a sensor on it – coffee makers, cars, cattle, machines in production plants, jet engines, oil drills, wearable devices, and more. Communicating over the Internet through embedded sensors, these objects are expected to help generate 403 trillion gigabytes of data per year by 2018.

SAP solutions for the IoT are built on the SAP HANA platform. HANA supports natively smart data streaming and access, dynamic tiering, smart data integration and quality, series data, multitenant database containers, graph engine modelling, L2 delta optimisations, and predictive analytics. SAP HANA Cloud Platform for the IoT is extended with a rich set of services, for example services for the connected car, and includes remote device management, message management, and application enablement with a set of APIs. In SAP IoT portfolio there is also a number of solutions dedicated for specific use cases, like SAP IoT SIM management for SAP HANA (SIMM), connecting devices with SIM cards.

In addition to the features described above, the on premise version of IoT platform includes technology to connect to physical objects located at the edge of the network. These include:
• SAP SQL Anywhere solutions – allows to capture and store data locally on connected devices, and exchange data using highly scalable, session-based synchronization technology
• SAP Event Stream Processor – capturing machine data at the source with a standalone, complex event processing engine
• SAP IQ software – managing data volumes at the petabyte scale with a high-performance, columnar-structured analytical database
• Integration to Apache – direct access the Hadoop distributed file system and the MapReduce programming model with user-defined functions in SAP HANA.

The Internet of Things (IoT) is the network that connects people, data, processes, and physical objects. IoT deals with machines, devices, appliances and their services, middleware software that connects them, IoT-oriented data analytics, and business applications that can use this data.