SAP's Business Information Warehouse (BW) is a comprehensive business intelligence product centered around a data warehouse that is optimized for SAP's R/3 environment.
SAP BW is one of the important technical module of SAP and it stands for business information warehouse. The most important thing in the running of a business is data. Every business activity generates data. This data is used by a company is all areas of its business; it is used by the employees of the company in their work, to help them make a better decision.
SAP NetWeaver BW is a special software made by the maker of enterprise resource planning ERP ) software systems, SAP, which groups together and formats huge amounts of business data in the Enterprise Data Warehouse. It does so with the help of SAP BI tools, and is supported by a wide range of Enterprise Planning tools.
This allows the SAP BI software to analyze the data which is important for all decision making in the company. In this way, SAP BW optimizes business processes, helps a corporation to act faster and to be more flexible, as per the current requirements of a market.
SAP Fiori is a software that provides the porting of applications on mobile devices announced on 15 May 2013.
SAP Fiori is based on SAP's technology platform called NetWeaver. It enables applications to be used on desktop computers, tablets and smartphones. SAP Fiori supports HTML5.
SAP Fiori is a new user experience (UX) for SAP software and applications. It provides a set of applications that are used in regular business functions like work approvals, financial apps, calculation apps and various self-service apps.
SAP Fiori provides 300+ role-based applications like HR, Manufacturing, finance, etc. When you open the SAP Fiori home page application, you will see a picture of the flowers. It is because Fiori means ‘flowers’ in Italian.
SAP Fiori is a product line of SAP apps that have a device-agnostic user interface (UI).
At the 2013 SAP TechEd conference in Las Vegas, SAP announced that SAP Fiori would be the company's predominant user-interface model going forward for its enterprise resource planning (ERP), customer resource management (CRM), supply chain management (SCM), procurement, and talent management software, and that new Fiori applications would follow in those areas. As of this writing, there are currently 25 Fiori apps.
Video About SAP Fiori? https://www.youtube.com/watch?v=CX5X8ewlD0I
ThingSpeak is an open-source Internet of Things (IoT) application and API to store and retrieve data from things using the HTTP protocol over the Internet or via a Local Area Network.ThingSpeak was originally launched by ioBridge in 2010 as a service in support of IoT applications. ThingSpeak™ is an IoT analytics platform service that allows you to aggregate, visualize and analyze live data streams in the cloud.
ThingSpeak provides instant visualizations of data posted by your devices to ThingSpeak. With the ability to execute MATLAB® code in ThingSpeak you can perform online analysis and processing of the data as it comes in. ThingSpeak is often used for prototyping and proof of concept IoT systems that require analytics.
ThingSpeak allows you to aggregate, visualize and analyze live data streams in the cloud.
Some of the key capabilities of ThingSpeak include the ability to
Easily configure devices to send data to ThingSpeak using popular IoT protocols.
Visualize your sensor data in real-time.
Aggregate data on-demand from third-party sources.
Use the power of MATLAB to make sense of your IoT data.
Run your IoT analytics automatically based on schedules or events.
Prototype and build IoT systems without setting up servers or developing web software.
Automatically act on your data and communicate using third-party services like Twilio® or Twitter®.
Minikube is a tool that makes it easy to run Kubernetes locally. Minikube runs a single-node Kubernetes cluster inside a VM on your laptop for users looking to try out Kubernetes or develop with it day-to-day.
Minikube supports Kubernetes features such as:
ConfigMaps and Secrets
Container Runtime: Docker, rkt, CRI-O and containerd
Enabling CNI (Container Network Interface)
When using a single VM of Kubernetes, it’s really handy to reuse the Minikube’s built-in Docker daemon; as this means you don’t have to build a docker registry on your host machine and push the image into it -
We can just build inside the same docker daemon as minikube which speeds up local experiments. Just make sure you tag your Docker image with something other than ‘latest’ and use that tag while you pull the image. Otherwise, if you do not specify version of your image,
it will be assumed as :latest, with pull image policy of Always correspondingly, which may eventually result in ErrImagePull as you may not have any versions of your Docker image out there in the default docker registry (usually DockerHub) yet.
Polymer provides a number of features over vanilla Web Components:
Simplified way of creating custom elements
Both One-way and Two-way data binding
Conditional and repeat templates
Polymer.js places a hefty set of requirements on the browser, relying on a number of technologies that are in still in the process of standardization (by W3C) and are not yet present in today’s browsers.
Examples include the shadow dom, template elements, custom elements, HTML imports, mutation observers, model-driven views, pointer events, and web animations. These are marvelous technologies, but at least as of now, that are yet-to-come to modern browsers.
The Polymer strategy is to have front-end developers leverage these leading-edge, still-to-come, browser-based technologies, which are currently in the process of standardization (by W3C), as they become available.
The recommended polyfills are designed in such a way that (at least theoretically) will be seamless to replace once the native browser versions of these capabilities become available.
Video for Polymer.Js https://www.youtube.com/watch?v=tvafAyxkuVk
Start quickly with built-in navigators that deliver a seamless out-of-the-box experience.
2) Components built for iOS and Android
Platform-specific look-and-feel with smooth animations and gestures.
3) Completely customizable
4) Extensible platform
React Navigation is extensible at every layer— you can write your own navigators or even replace the user-facing API.
MLlib (Spark) is Apache Spark’s machine learning library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.
Regression: generalized linear regression, survival regression,...
Decision trees, random forests, and gradient-boosted trees
Recommendation: alternating least squares (ALS)
Clustering: K-means, Gaussian mixtures (GMMs),...
Topic modeling: latent Dirichlet allocation (LDA)
Frequent itemsets, association rules, and sequential pattern mining
Spark revolves around the concept of a resilient distributed dataset (RDD), which is a fault-tolerant collection of elements that can be operated on in parallel. There are two ways to create RDDs: parallelizing an existing collection in your driver program, or referencing a dataset in an external storage system, such as a shared filesystem, HDFS, HBase, or any data source offering a Hadoop InputFormat.