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
Statsmodels is a Python package that allows users to explore data, estimate statistical models, and perform statistical tests. Statsmodels is built on top of the numerical libraries NumPy and SciPy, integrates with Pandas for data handling and uses Patsy for an R-like formula interface.
Statsmodels is part of the scientific Python stack that is oriented towards data analysis, data science and statistics. Statsmodels is built on top of the numerical libraries NumPy and SciPy, integrates with Pandas for data handling and uses Patsy for an R-like formula interface. Graphical functions are based on the Matplotlib library. Statsmodels provides the statistical backend for other Python libraries. Statmodels in free software released under the Modified BSD (3-clause) license.
Linear regression models:
Mixed Linear Model with mixed effects and variance components
GLM: Generalized linear models with support for all of the one-parameter exponential family distributions
Bayesian Mixed GLM for Binomial and Poisson
GEE: Generalized Estimating Equations for one-way clustered or longitudinal data
Nonparametric statistics: Univariate and multivariate kernel density estimators
Datasets: Datasets used for examples and in testing
Statistics: a wide range of statistical tests
Imputation with MICE, regression on order statistic and Gaussian imputation
Tools for reading Stata .dta files, but pandas has a more recent version
Scapy is a powerful interactive packet manipulation program. It is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more. It can easily handle most classical tasks like scanning, tracerouting, probing, unit tests, attacks or network discovery (it can replace hping, 85% of nmap, arpspoof, arp-sk, arping, tcpdump, tethereal, p0f, etc.).
It also performs very well at a lot of other specific tasks that most other tools can’t handle, like sending invalid frames, injecting your own 802.11 frames, combining technics
Scapy is a packet manipulation tool for computer networks, written in Python by Philippe Biondi. It can forge or decode packets, send them on the wire, capture them, and match requests and replies. It can also handle tasks like scanning, tracerouting, probing, unit tests, attacks, and network discovery.
Scapy provides a Python interface into libpcap, (WinPCap/Npcap on Windows), in a similar way to that in which Wireshark provides a view and capture GUI. It can interface with a number of other programs to provide visualization including Wireshark for decoding packets, GnuPlot for providing graphs, graphviz or VPython for visualisation, etc.
The concept behind Scapy is that it is cable of sending and receiving packets and it can sniff packets. The packets to be sent can be created easily using the built-in options and the received packets can be dissected. Sniffing of packets helps in understanding what communication is taking place on the network.
TopoJSON is an extension of GeoJSON that encodes topology. Rather than representing geometries discretely, geometries in TopoJSON files are stitched together from shared line segments called arcs. This technique is similar to Matt Bloch’s MapShaper and the Arc/Info Export format, .e00.
TopoJSON eliminates redundancy, allowing related geometries to be stored efficiently in the same file. For example, the shared boundary between California and Nevada is represented only once, rather than being duplicated for both states. A single TopoJSON file can contain multiple feature collections without duplication, such as states and counties. Or, a TopoJSON file can efficiently represent both polygons (for fill) and boundaries (for stroke) as two feature collections that share the same arc mesh.
A TopoJSON file format is a format that encodes topology. TopoJSON is an extension of geoJSON. This format contains both geospatial data (arcs) and attribute data. In contrast to other GIS formats topoJSON uses arcs. Arcs are sequences of points, while line strings and polygons are defined as sequences of arcs.
Each arc is defined only once, but can be referenced several times by different shapes, thus reducing redundancy and decreasing the file size. The topoJSON format is a format that is used by software like Microsoft PowerBI.
EOS is a blockchain platform for the development of decentralized applications (dapps), similar to Ethereum in function. It provides a complete operating system for decentralized applications focused on the web with services like user authentication, cloud storage, and server hosting.
EOSIO is a free, open-source blockchain software protocol that provides developers and entrepreneurs with a platform on which to build, deploy and run high-performing decentralized applications (DAPPs)
EOSIO based blockchains execute user-generated applications and code using WebAssembly (WASM). WASM is an emerging web standard with widespread support of Google, Microsoft, Apple, and industry leading companies.
At the moment the most mature toolchain for building applications that compile to WASM is clang/llvm with their C/C++ compiler. For best compatibility, it is recommended that you use the EOSIO toolchain.
Other toolchains in development by 3rd parties include: Rust, Python, and Solidity. While these other languages may appear simpler, their performance will likely impact the scale of application you can build. We expect that C++ will be the best language for developing high-performance and secure smart contracts and plan to use C++ for the foreseeable future.