Whether you are already using SAP technology for your Data Warehousing requirements or investigating how you can modernize your data platform to address your business needs today and tomorrow, SAPPHIRE NOW 2017 has something for you. Here are our suggestions for top Data Warehousing content to add to your schedule.
Meet the Experts
Start off by visiting the SAP Data Warehousing demo pod (#DP518) located in the Data, Analytics…
In-Memory Computing Blogs and Events
Apache® Ignite™ 2.0 was released last week. The changes on the Java side are tremendous, but Ignite.NET has some cool things to offer as well. Let's take a closer look.
# Dynamic Type Registration
Apache Ignite 2.0 was released last week. The changes on the Java side are tremendous, but Ignite.NET has some cool things to offer as well. Let's take a closer look.
# Dynamic Type Registration
GridGain Professional Edition 2.0 was released today.
The internet of things (IoT) has been coming for a long time. According to Gartner there will be 8.4 billion connected devices in 2017. More than 3 billion of those devices will be of a non-consumer variety, like industry or infrastructure amounting to almost a trillion $ in spending. By 2020 Gartner estimates that will have increased to 7.5 billion units, just on the business side of things.
Self-driving cars, automated factories, smart cities and more. All those devices generate huge amounts of data. In some cases, that’s the main purpose of the devices. These massive data sets must be handled pretty much instantaneously to meet the needs and demands of the fast paced business world of today, and also in some cases to make the devices useful at all.
Our mobile connections to the cloud won’t be enough for all this data. A self-driving car will have to much data for it to be pushed to the cloud for processing, in stead we’ll see distributed networks where transactions…
Discover how you can use machine learning and advanced analytics in SAP HANA 2 to create innovative applications. In this blog I’d like to briefly overview for you what’s happening around SAP HANA and machine learning at SAPPHIRE NOW 2017 this year and specifically invite you to join me for the talk and demo Improve Data Insight with In-Memory Machine Learning and Advanced Analytics on Tuesday May 16th.
SAP HANA provides native in-memory machine learning capabilities for predictive analytics, text mining,…
Gartner forecasts that there will be over 8 billion connected devices in use worldwide by the end of 2017. This figure is estimated to reach 20 billion by 2020 and continue to increase dramatically for the foreseeable future.
dotkam recently published a blog post entitled, “Hubble Space Mission Securely Configured“. In the post, dotkam presents a strategy for building better security and flexibility for our space missions. This week we learned of a recent alien hacking into Earth.…
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The post Hubble Space Mission Securely Configured appeared first on Hazelcast Blog.
The following is a partner blog by Anne Sutanto, Marketing Manager at IBSolution GmbH
In hospitals, the sterile goods cycle should run like a modern factory. Right now, it often runs more like a small workshop. But replicable processes are key to sustain quality in sterile outcome and in patient treatment. Any failure in the sterilization cycle can lead to infections— in a worst-case scenario, with fatal results.
Braun’s Digital Service Platform
Together with SAP and IBsolution, a German based SAP consultancy, Aesculap, a division of the global operating healthcare company B. Braun Melsungen AG, established a digital service platform, which provides custom-made apps…
In a recent blog, I introduced the Data Warehouse Quadrant, a problem description for a data platform that is used for analytic purposes. The latter is called a data warehouse (DW) but labels, such as data mart, big data platform, data hub, and so on, are also used. In this blog, I will map some of the SAP products into that quadrant, which will hopefully yield a more consistent picture of the SAP strategy.
To recap: the DW quadrant has two dimensions. One indicates the challenges regarding data volume, performance, query and loading throughput and the like. The other one shows the complexity of the modeling on top of the data layer(s). A good proxy for the complexity is the number of tables, views, data sources,…
Recently Apache Ignite 2.0 introduce a beta version of the in-memory machine learning grid, which is a distributed machine learning library built on top of the Apache IMDG. This beta release of ML library can perform local and distributed vector, decompositions and matrix algebra operations. The data structure can be stored in Java heap, off-heap or distributed Ignite caches. At this moment, the Apache Ignite ML grid doesn't support any prediction or recommendation analysis. In this short post, we are going to download the new Apache Ignite 2.0 release, build the example and run them. 1. Download and unpack the Apache Ignite 2.0 distribution.Download the Apache Ignite 2.0 binary release version from the following link. Unpack the distribution somewhere in your workstation (e.g /home/ignite/2.0) and set the IGNITE_HOME path to the directory. 2. Start the Apache Ignite remote nodeRun…
I’m here in Austin for OSCON where tomorrow my session, “The next phase of distributed systems with Apache Ignite,” will teach folks how to optimize Apache® Ignite™ -- leveraging it f
I’m here in Austin for OSCON where tomorrow my session, “The next phase of distributed systems with Apache Ignite,” will teach folks how to optimize Apache Ignite -- leveraging it for
Can you tell we’re excited? This will be the first SAPPHIRE NOW event for SAP Cloud Platform Big Data Services, and we can hardly wait! If you don’t already know us, SAP Cloud Platform Big Data Services provide users a fully managed Big Data platform, incorporating Apache Hadoop and Spark. We are SAP’s newly acquired, purpose-built Big Data cloud, and we look forward to introducing ourselves to all our SAPPHIRE NOW guests on May 16-18 in Orlando.
Since becoming part of the SAP family, we’ve been hard at work rolling out…
This white paper discusses the transformation taking place in asset and wealth management and explains how in-memory computing options such as the GridGain in-memory computing platform can help asset and wealth management firms build the high-performance, scalable, and interoperable infrastructure that they need to successfully power their applications.