Search results “Sap bw data mining tutorial pdf”
How to Load Transaction Data in SAP BW
Load transaction data in sap bw
Views: 5366 Kakoli Bandyopadhyay
Microsoft BI Training - 1 | MSBI Tutorial for Beginners - SSIS Tutorial | SSIS SQL Server | Edureka
This Edureka MSBI Training video will help you learn the basics of MSBI and SSIS architecture. MSBI stands for Microsoft Business Intelligence. This powerful suite is composed of tools which helps in providing best solutions for Business Intelligence and Data Mining Queries. This tool uses Visual studio along with SQL server. The video gives a basic tutorial for beginners. The topics covered in the video are: 1.Need for Business Intelligence 2.Business Intelligence Components 3.Business Intelligence : Decision making 4.What the user wants 5.Principles of MSBI 6.Data warehous 7.OLTP vs OLAP 8.SSIS Package Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics related to MSBI Tutorial for Beginners-1’ have been covered in our course ‘Microsoft BI'. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 150190 edureka!
Heuristics Miner Advanced
This video is part of a series showcasing the use of the ProM process mining framework. Each video focusses on a specific process mining task or algorithm. ProM is open-source and freely available at: http://www.promtools.org In this video we describe the theory behind the Heuristics Miner, one of the process discovery algorithms available in ProM. We discuss the various parameters of the Heuristics Miner and their effect on the discovered models. The theory behind the Heuristics Miner is also described in detail in: http://dx.doi.org/10.1109/CIDM.2011.5949453 and http://is.ieis.tue.nl/staff/aweijters/WP166.pdf For a quick introduction to the Heurstics Miner, please check the first video in this series: https://www.youtube.com/watch?v=MBxeUCPnLRk For more information on process mining, please visit: http://www.processmining.org/ Created by: Elham Ramezani, Maikel van Eck, Eduardo González López de Murillas
Views: 3483 P2Mchannel
How to use the Data Extractor in the Musoni System
Watch this video to learn how to use the Data Extractor to build your own reports in the Musoni System.
Views: 363 Musoni System
SAP GUI Scripting - Extract SAP report data to Excel
This video provides and example of running GUI scripts to export table contents via SE16, or queries via SE38. This data is exported to CSV and loaded to Excel to be manipulated there. GUI scripting allows external applications like MS Excel to connect to an existing GUI session and execute operations within the GUI. Excel does not hold and authorization and access information as it relies on you logging into SAP first. This example is in CRM but it can be used in any GUI based SAP system. Download the Excel file in this example from here: https://drive.google.com/file/d/0Bw1XOPtMPlsNRi1SdDhHTUMwY3c/view?usp=sharing Playlist of my SAP GUI scripting Youtube playlist: https://www.youtube.com/watch?v=oPPhA14Pm-8&list=PLk9erb9HGsPh28DftWcP8BIXmBtu2wnsL
Views: 88423 Csongor Varga
Data Modeling for Power BI
A data model is like the foundation for your house, get it right and everything else goes better. Join the Power BI desktop team in this session to learn about the key steps, and best practices, you need to take to ensure a good data model.
Views: 80790 Microsoft Power BI
Interview with a Data Scientist
This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 285189 Udacity
Introduction to Data Warehousing and Data Mining
The term "Data Warehousing" is now commonly used in industry. It refers to a kind of heterogeneous information system -- one in which the focus is on gathering together the data from the different operational databases within an organization, and making it available for decision making purposes. This unit explains the differences between the type of information one can obtain from a data warehouse compared with a traditional database. We looked at the problems and steps involved in building a data warehouse, and examine some of the techniques that have been proposed for constructing data warehouses. (Chapter 15)
Views: 44960 vcilt14
Optimierung des Purchase to Pay Prozesses in SAP
Purchase to Pay in SAP - Eingangsrechnungen ohne Bestellbezug bearbeiten: Sie erfahren, wie Sie dank automatisierter Rechnungsbearbeitung den Purchase to Pay Prozess in Ihrem Unternehmen optimieren können. Alles zum Thema Optimierung des Purchase to Pay Prozesses in SAP auch auf: http://goo.gl/tW1Xnv Hier zeigen wir Ihnen, wie Eingangsrechnungen automatisch verarbeitet, elektronisch geprüft und freigegeben werden können (in SAP, per Email und im Web). Unsere Software Lösung verhilft Ihnen bei der Automatisierung bzw. Optimierung des Purchase to Pay Prozess. Im Tutorial präsentieren wir auch wie via Web und Email Beteiligte im Purchase to Pay Prozess, die Nicht-SAP-Anwender sind, im Prüfungs- und Freigabe-Workflow eingebunden werden können und Rechnungen prüfen und freigeben können. Für den automatisierten Purchase to Pay Prozess gehen Rechnungen in Papier- oder digitaler Form ein, ohne vorsortiert werden zu müssen. Die rechnungsrelevanten Werte werden via OCR-Technologien ausgelesen und mit SAP®-Werten abgeglichen. Je nach Rechnungsart wird dann zielgerichtet der spezifische Purchase to Pay Workflow ausgelöst. Dank des Rechnungscockpits können Sie alle Rechnungen überwachen, eingreifen, neu zuordnen, informieren und auswerten. Nach der abgeschlossenen Buchung sind das Original-Dokument (hier: die eingegangene Rechnung) und das Workflow-Protokoll am FI-Beleg (Rechnungsbeleg) angehängt und im Archiv abgelegt. In diesem Tutorial erfahren Sie, wie den Prozess bei Eingangsrechnungen mit Bestellbezug aussehen kann: https://goo.gl/5kJTMg Und hier erfahren Sie, wie Sie mit dem SAP Rechnungscockpit Ihre Rechnungsprozesse monitoren können: https://goo.gl/sanixa _____________________________ Wenn Ihnen dieses Video-Tutorial gefallen hat, dann freuen wir uns sehr über ein "Daumen hoch" oder einen netten Kommentar. Abonnieren Sie am besten auch gleich unseren Kanal, damit Sie in Zukunft kein Video mehr verpassen: http://goo.gl/gX1jFi Die inPuncto GmbH entwickelt schlanke und voll integrierte Zusatzlösungen für Ihr SAP-System im Bereich Dokumentenmanagement bzw. Enterprise Content Management (ECM). Mehr als 100.000 überzeugte Anwender nutzen bereits unsere Produkte. Profitieren auch Sie von unserer Erfahrung und werden Sie Teil des gemeinsamen Erfolgs. Mehr über uns und unsere Add-on-Software finden Sie auf unserer Webseite: http://www.inpuncto.com SAP® ist eingetragenes Markenzeichen der SAP AG. Microsoft® ist eingetragenes Markenzeichen der Microsoft Inc. FOLGEN SIE UNS: ►Twitter https://goo.gl/gXc3Mf ►Facebook https://goo.gl/9XWg5U ►Google+ https://goo.gl/VTpes9 ►XING https://goo.gl/ggBhSg ►LinkedIn https://goo.gl/hdo3QQ ►SlideShare https://goo.gl/fneP69
Views: 2947 inPuncto GmbH
Data Mining and Business Intelligence (4th slide)
Views: 14 Theresa Hallenbeck
Lecture - 30 Introduction to Data Warehousing and OLAP
Lecture Series on Database Management System by Dr.S.Srinath, IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 210521 nptelhrd
Heuristics Miner Basic
This is the first video in a series showcasing the use of the ProM process mining framework. Each video focusses on a specific process mining task or algorithm. ProM is open-source and freely available at: http://www.promtools.org In this video we introduce the Heuristics Miner, one of the process discovery algorithms available in ProM. The Heuristics Miner is easy to use, quick and can handle noisy event logs. The theory behind the Heuristics Miner is described in detail in: http://dx.doi.org/10.1109/CIDM.2011.5949453 and http://is.ieis.tue.nl/staff/aweijters/WP166.pdf For more information on process mining, please visit: http://www.processmining.org/ Created by: Elham Ramezani, Maikel van Eck, Eduardo González López de Murillas Special Thanks: Sander Leemans, Rafal Kocielnik, Alfredo Bolt, Sebastiaan van Zelst, Shegnan Guo
Views: 6219 P2Mchannel
02 Querying Data from an Unstructured Text File
The video demonstrates how to use Power BI Desktop to extract and clean up data from an unstructured text file.
Views: 2202 CriticalPathTraining
Data Warehouse tutorial. Creating an ETL.
This Data Warehouse video tutorial demonstrates how to create ETL (Extract, Load, Transform) package. See more lessons http://www.learn-with-video-tutorials.com/data-warehouse-tutorial-video
Business Intelligence And Its Future In Hindi
Welcome Everyone Dosto ! is video mein hum business intelligence ke baare mein dekhenge. kya hai business intelligence ? aur kya hoga iska future dekhiye is video mein....! #puretechstuffnothingelse LIKE | COMMENT | SHARE | SUBSCRIBE Follow Asim on Twitter : https://twitter.com/mdasim999
Views: 9761 Tech Wala Stuff
ODS database (Operation data Store ), Its properties and purpose explained with examples
Most of the developers can't differentiate between ODS,Data warehouse, Data mart,OLTP systems and Data lakes. This video explains what exactly is an ODS, how is it different from the other systems. What are its properties that make it unique and if you have an ODS or a warehouse in your organisation
Views: 3161 Tech Coach
Derwent Data Analyzer - What's New with version 7
This brief video provides and overview of the enhancements available with Derwent Data Analyzer version 7.
Views: 335 IP Education
Full-Text Search with SAP HANA Platform - openSAP Course
Enroll now: http://spr.ly/605980JSJ Learn about Full Text Search with SAP HANA Platform in this free openSAP online course. With a large amount of data collected by companies, SAP HANA provides fast and convenient search-based access to unstructured data. With this course, you’ll learn about full-text indexing and search via SQL, fuzzy search, search rules for duplicate checks and much more. If you’re using SAP Business Suite or SAP S/4HANA, you’ll also learn about SAP HANA enterprise search.
Views: 437 SAPEducation
OraDataLoad - Load data to Oracle window directly
Do your users load data to Oracle forms windows using a tool like DataLoad Classic. Do they get frustrated that they have to put in the key strokes to navigate between fields and keep focus on the Oracle window during load? Watch this video and see how OraDataLoad avoids all this
Views: 2540 Technevo Solutions
Enterprise Search: MarkLogic Information Dashboard 5 Minute Demo
In this video we will show you an application with sophisticated search capabilities. + Add any kind of content to the data platform without the need of defining a schema first. Twitter, RSS-news, stock price information, PDF and MS Word documents – mix public or internal content + Google-like search that queries across all your content regardless of how the data is structured (or unstructured!) + Quickly filter down your search by using facets + Add your custom sources of data, drag & drop PDF or Word documents + Tag your unstructured content using 3rd party semantical data-mining API + Visualize your data in various format such as KPI indicators, bar charts and tag clouds and use these as part of your search + Store search profiles for later recall If you are interested in learning more, please have a look at following links: Building a faceted search application. http://developer.marklogic.com/blog/faceted-search Analytics – searching with facets: http://developer.marklogic.com/learn/java/analytics
Views: 365 MarkLogic
Datawatch and Angoss - fast data prep and analytics
In today’s high speed analytics marketplace it is no surprise that data volumes and sources are expanding at an accelerating rate. On a daily basis, analysts spend up to 80 percent of their time collecting data from numerous sources such as the web, pdf’s, text reports, log files and many more to prepare it for analysis. Analysts are further challenged to make this data actionable with the use of predictive modeling. The alliance between Datawatch and Angoss offers businesses the fastest and most easy-to-use applications which significantly reduce time spent on data extraction, data preparation, and predictive modeling. Datawatch Monarch works with a wide range of report formats including PDF, XML, HTML, text, spool and ASCII files. Analysts can easily access data from invoices, sales reports, balance sheets, customer lists, inventory, logs and more. Data is then cleansed and consolidated into a single file for immediate consumption into any of the Angoss software applications. Analysts can now focus on translating their data into business value, without having to code, using the most easy-to-use and analyst recognized data mining and modeling techniques, such as Angoss’ best in class Decision Trees and Strategy Trees, to uncover important patterns within a dataset, identify good predictors, and produce accurate, stable and actionable predictions. Let us help you provide your business with the fastest and easiest tools for data acquisition, preparation, and business analytics.
Views: 332 Datawatch
Demo: SAP Analytics Cloud (3/3) - Creating a Storyboard
This demo covers how to import models and create storyboards within SAP BusinessObjects Cloud
Acquire unstructured data using the Mongo DB data access extension: SAP Lumira 1.28
SAP Lumira enables us to acquire non-traditional data sources by taking advantage of data access extensions. In this video, we’ll install the extension for MongoDB, which stores data in documents, and acquire a dataset based on bitcoin transactions.
Views: 1287 SAPAnalyticsTraining
Implementing a Data Warehouse with SQL Server, 01,  Design and Implement Dimensions and Fact Tables
www.epcgroup.net | [email protected] | Phone: (888) 381-9725 Note: This video is property of Microsoft and/or was co-produced with Microsoft. * SharePoint Server 2013, SharePoint Server 2010, and SharePoint 2007: Review, Architecture Development, Planning, Configuration & Implementations, Upgrades, Global Initiatives, Training, and Post Go-live Support with Extensive Knowledge Transfer * Health Check and Assessments (Roadmap Preparation to Upgrade to 2013 or 2010) - Including Custom Code & Solution Review * Enterprise Content Management Systems based on Microsoft SharePoint * Enterprise Metadata Design, Taxonomy | Retention Schedule Development | Disposition Workflow, and Records Management Implementations * Roadmap, Requirements Gathering, Planning, Designing, and Performing the Actual Implementation * Best Practices Consulting on SharePoint 2013, 2010, 2007 | EPC Group has completed over 725+ initiatives * Intranet, Knowledge Management, Internet and Extranet-Facing as Well as Mobility (BYOD Roadmap), Cloud, Hybrid, and Cross-Browser | Cross-Platform Solutions for SharePoint 2013 / 2010 with Proven Past-performance *Upgrades or Migrations of Existing Deployments or Other LOB Systems (Documentum, LiveLink, FileNet, SAP, etc.) using EPC Group's Proven Methodologies (On-Premises, Hybrid, Virtualized, or Cloud-Based Infrastructure Design) * Custom Application, Feature, Master Pages, Web Parts, Security Model, Usability (UI), and Workflow Development (i.e. Visual Studio 2012) * Migration Initiatives to SharePoint 2013 / SharePoint 2010 * Key Performance Indicators, Dashboard & Business Intelligence Reporting Solutions (PerformancePoint 2013, SQL Server 2012, BI, KPIs, PowerPivot, Scorecards, Big Data Experts) * Experts in Global \ Enterprise Infrastructure, Security, Hardware Configuration & Disaster Recovery (Global performance considerations, multilingual, 1mm+ user environment experience) * Tailored SharePoint "in the trenches" Training on SharePoint 2013, 2010, 2007 as well as Project Server and Custom Development Best Practices * Support Contracts (Ongoing Support your Organization's 2013, 2010, or 2007 Implementations) * .NET Development, Custom applications, BizTalk Server experts * Project Server 2013, 2010, and 2007 Implementations and Consulting * SharePoint Roadmap & Governance Development: 6, 12, 18, 24 and 36 months (Steering Committee & Code Review Board Development) * Corporate Change Management & End User Empowerment Strategies * EPC Group's WebpartGallery.com - Customized Web Parts Based off of "in the trenches" Client Needs With over 14 years of experience, EPC Group delivers time tested SharePoint methodologies that ensure success within your organization. Engagement with EPC Group carries unique offerings and knowledge. Currently having implemented over 725+ SharePoint engagements and 75+ Microsoft Project Server implementations, we are the nation's leading SharePoint and Microsoft platform related consulting firm. EPC Group will be releasing our 3rd SharePoint book in August of 2013 by Sams Publishing titled, "SharePoint 2013 Field Guide: Advice from the Consulting Trenches" which will be like having a team of Senior SharePoint 2013 consultants by your side at each turn as you implement this new powerful and game changing software platform within your organization. SharePoint 2013 Field Guide: Advice from the Consulting Trenches will guide you through all areas of a SharePoint initiative from the initial whiteboarding of the overall solutions to accounting for what your organization currently has deployed. It will assist you in developing a roadmap and detailed step-by-step implementation plan and will also cover implementation best practices, content management and records management methodologies, initial SharePoint 2013 development best practices, as well as mobility planning. SharePoint 2013, Microsoft SharePoint 2013, SharePoint Consulting, Microsoft SharePoint consulting, SharePoint Consulting Firm, Top SharePoint Firm, SharePoint 2013 Consulting,SharePoint 2010 Consulting, SharePoint ECM Consulting, SharePoint branding firm, SharePoint, SharePoint branding experts, ECM experts SharePoint, Errin O'Connor, EPC Group, EPC Group.net, BizTalk Consulting, Project Server Consulting, BYOD, SharePoint 2013 book, SharePoint 2013 advice from the trenches
Views: 192035 EPC Group.net
Business Intelligence Masterclass - Sharperlight - Video 2 - Reporting in Excel
Business Intelligence BI Masterclass video 2 – Reporting in Excel See how your users can utilise Sharperlight Business Intelligence to extract live data from any database into an Excel workbook and thus leverage their Excel skills to manipulate and present key business data. Being able to access the right information at the right time enables decision makers across your organisation to effectively consolidate data from disparate systems into dashboards, making it easy to identify trends, review performance, and understand key areas for business improvement. "Any data, anywhere, any time." For more information on Sharperlight, Business Intelligence or Dynamics CRM, please contact us at [email protected], call us on 0203 004 4600 or visit http://www.advantage.co.uk/business-solutions/business-intelligence-and-reporting/
Bill Inmon, Father of Data Warehouse discusses history & relevance of DW in age of Big Data
Bill Inmon – the “father of data warehouse” – has written 57 books published in nine languages. Bill’s latest adventure is the building of technology known as textual disambiguation – technology that reads raw text in a narrative format and allows the text to be placed in a conventional data base so that it can be analyzed by standard analytical technology, thereby creating unique business value for Big Data/unstructured data. Bill was named by ComputerWorld as one of the ten most influential people in the history of the computer profession. Bill lives in Castle Rock, Colorado. For more information about textual disambiguation refer to www.forestrimtech.com. Interviewer: Rajib Bahar, Shabnam Khan Agenda: SB - In the 1970s, you have coined the term, "Datawarehouse". There are countless Data gurus referring to you as the father of "Datawarehousing". We are curious how did your journey start? What did you envision a "Datawarehouse" to be back then, and now? RB - Who were the earliest adopter? What were some interesting discoveries back then? How has the industry evolved? SB - In current state of the Data industry, do you think Datawarehousing is relevant in this hyped up age of Big Data and Data Science? Do these technologies simply compliment existing Data practices? What is your thought on it? RB- One of your project in the data space is called Textual ETL... What is it about? Is it a theoretical concept? Are there any tool in the industry that meets the standard? SB - Your recent publications are on Taxonomies, and Textual Analytics... Our knowledge on it is quite limited. Please enlighten us about the use case scenario for which it's relevant. RB - How do we connect with you in Social media such as Twitter or Blog? Music: www.freesfx.co.uk https://soundcloud.com/data-podcast/bill-inmon-father-of-datawarehouse-discusses-history-relevance-of-data-warehouse-in-age-of-big-data Donations are welcome to these addresses: Bitcoin: 36TCe8dAtdod46P5qkPQcG8sM7urwHg9uj Bitcoin Cash: qr7lsrqg2h6acefveanhefc3lsw3gr7rjyqjk3ygsy Ethereum: 0x9A0bEb6f3Ee080484117f1A6FfdE0309E2f8D5B9 Litecoin: MGywjDsBtzs2HumP9TgQ6ysyQUD6uccCba Coinbase: http://bit.ly/2G9tqpa - Get Free BitCoins by signing up & spending $100 in 180 days Recommended Crypto-Currency Mining Pools: NiceHash! EoBot: http://bit.ly/2pD9NyK MinerGate: http://bit.ly/2IMgYO5
Views: 2568 Rajib Bahar
Please watch video in HD for optimum viewing! Architonic website being navigated by a script and all the data required is being extracted including all images from a gallery. This data can then be exported/imported into a Magento database.
Views: 40 MLR TLR
SAP HANA Academy - SAP S/4HANA: Launching a Free 1610 Trial in SAP CAL
In this video, Tahir Hussain Babar ("Bob") shows how to launch version 1610 of the On-Premise Free Trial of S/4HANA, which is available via the SAP Cloud Appliance Library (CAL). The video starts with logging into CAL using your SAP Cloud Identity, and then goes setting up and initializing your Free Trial of S/4 HANA. We then look at the various options and resources available when you have launched the S/4 HANA Free Trial, which consists of 4 images; a BI Server, a HANA Server, a Netweaver Server and lastly a Windows Client. We then finish with logging into the Windows Client via Remote Desktop to ensure we can connect. CONNECT WITH US Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/u/0/111935864030551244982 Github: https://github.com/saphanaacademy Thank you for watching. Video by the SAP HANA Academy.
Views: 7520 SAP HANA Academy
Process Intelligence – The Key to Successful Digital Transformation
Any attempt to optimize business process execution through BPM, RPA or other projects requires an in-depth understanding of the current process environment. To be effective, analysts must also have a full complement of pattern search, analytics, cohort comparison, temporal and other analytical tools. Unfortunately, existing business intelligence, process mining and related tools have failed to deliver the necessary insights. This webinar will present a new approach to process intelligence based on a patent-pending approach called Timeline Analysis which is capable of analyzing any process type – from structured to ad hoc case management and includes a rich library of best-practice analytical tools uniquely designed for process intelligence. Learn: How to discover and visualize process execution details automatically from the data you already have Best practices for performing analysis of large sets of process instances to assess their operational efficiency and identify the root cause for adverse cases How to monitor future processes to ensure they meet all necessary quality, performance and compliance goals Want to learn more about TimelinePI? Learn more here https://timelinepi.com/request-more-information-youtube/
Views: 170 TimelinePI
Share a Dashboard in MicroStrategy Analytics Desktop
Share your insights with your colleagues or Schedule automated deliveries of your dashboards using MicroStrategy.
Views: 8717 MicroStrategy
What is SAS Analytics for Containers?
http://www.sas.com/content/dam/SAS/en_us/doc/factsheet/sas-analytics-for-containers-108454.pdf SAS Analytics for Containers is designed to address all the needs of today’s data scientists – and it’s cloud ready. The catalyst for the product, Doug Liming will explain more in this Inside Analytics interview with Maggie Miller. SAS ANALYTICS FOR CONTAINERS Take advantage of container-enabled infrastructures to easily deploy SAS® Analytics to the cloud. View this fact sheet: http://www.sas.com/content/dam/SAS/en_us/doc/factsheet/sas-analytics-for-containers-108454.pdf SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 599 SAS Software
Manufacturing (Celonis Process Mining)
Uncover manufacturing inefficiencies, from the entry of the production order all the way through the quality inspection, warehousing and delivery. Which contracts were produced before or after the desired date and why? Why did stops and manual rework occur? What are the effects on storage and personnel costs. Find the answer! If you want to find out more about Process Mining or Automated business process discovery (ABPD) visit http://www.celonis.de
Views: 2819 Celonis
training data final
Views: 137240 globalkidsrepublic
Social Media Analytics Introduction
Please view the full copyright statement at: http://public.dhe.ibm.com/software/data/sw-library/services/legalnotice.pdf
Data Warehouse Group 11
Data Analytics & Visualisation - MT5000 , 2015 Dublin City University Our References: http://www.freepik.com/index.php?goto=2&k=clothing&order=2&vars=2 Barry Devlin, Data Warehousing: From Architecture to Implementation (book in library main lending 005.74/DEV) http://www.dataversity.net/a-short-history-of-data-warehousing/ http://booksite.elsevier.com/samplechapters/9780123743190/Sample_Chapters/02~Chapter_1.pdf https://www.youtube.com/watch?v=eiRhRxPuEU8 Data Warehousing - Quick Guide. (n.d.). Retrieved March 20, 2015, from tutorials point: http://www.tutorialspoint.com/dwh/dwh_quick_guide.htm Dayal, S. C. (1997). An Overview of Data Warehousing and OLAP Technology. ACM SIGMOD Record , 26 (1), 65-74. The Brite Group Inc. “How can Big Data/Hadoop co-exist with your Enterprise Data Warehouse”, 2013. http://www.thebritegroup.com/wp-content/uploads/2013/06/Big-Data-and-EDW1.docx Bill Inmon. “Big data Implementation vs. Data warehousing”, 2013. http://www.b-eye-network.com/view/17017 http://www.bisoftwareinsight.com/author/bisoftadmin/
Views: 84 Aisha Shoak
End-to-End Report data validation
Compare data in reports with output of a SQL Query using the Data Compare test plan.
Views: 1618 datagaps
Universal Data Connector (UDC)
Model, analyze and gain insights from any data source
Views: 1864 NovaViewDemo
SAP HANA Academy - R: 09. Getting Started with R Integration [2.0 SPS 02]
In this video tutorial, Philip Mugglestone explains how to get started using R integration with SAP HANA using SAP HANA 2.0 SPS 02. Philip provides a chalkboard introduction before showing how to obtain the SAP HANA Academy code snippets, where to find the reference guide, how to configure a new server, and how to define an authorized R developer user. To access the code snippets used in the video series please visit https://github.com/saphanaacademy/R-Integration Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/u/0/111935864... Github: https://github.com/saphanaacademy A video by the SAP HANA Academy.
Views: 2493 SAP HANA Academy
Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka
( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at [email protected] or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge from data. Data Science is the integration of methods from mathematics, probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, visualization, uncertainty modelling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. This interdisciplinary and cross-functional field leads to decisions that move an organization forward in terms of proposed investment, decisions regarding a product or business strategy. Data Science is a buzzword, often used interchangeably with analytics or big data. At times, Analytics is synonymous with Data Science, but at times it represents something else. A Data Scientist using raw data to build a predictive behaviour model, falls in to the category of analytics. Data science is a steadily growing discipline that is driving significant changes across industries and in companies of every size. It is emerging as a critical source for insights for enterprises dealing with massive amounts of data. About the Data Science Course at edureka! - This Data Science course is designed to provide knowledge and skills to become a successful Data Scientist. The course covers a range of Hadoop, R and Machine Learning Techniques encompassing the complete Data Science study. Course Objectives After the completion of the Data science Course at Edureka, you should be able to: Gain an insight into the 'Roles' played by a Data Scientist. Analyse Big Data using Hadoop and R. Understand the Data Analysis Life Cycle. Use tools such as 'Sqoop' and 'Flume' for acquiring data in Hadoop Cluster. Acquire data with different file formats like JSON, XML, CSV and Binary. Learn tools and techniques for sampling and filtering data, and data transformation. Understand techniques of Natural Language Processing and Text Analysis. Statistically analyse and explore data using R. Create predictive using Hadoop Mappers and Reducers. Understand various Machine Learning Techniques and their implementation these using Apache Mahout. Gain insight into the visualisation and optimisation of data. Who should go for this course? This course is designed for all those who want to learn machine learning techniques and wish to apply these techniques on Big Data. The course is amalgamation of two powerful open source tools: 'R' language and Hadoop software framework. You will learn how to explore data quantitatively using tools like Sqoop and Flume, write Hadoop MapReduce Jobs, perform Text Analysis and implement Language Processing, learn Machine Learning techniques using Mahout, and optimize and visualise the results using programming language 'R' and Apache Mahout. This course is for you if you are: A SAS, SPSS Analytics Professional. A Hadoop Professional working on Database management and streaming of Big Data. An 'R' professional who wants to apply Statistical techniques on Big Data. A Statistician who wants to understand Data Science methodologies to implement the statistics methods and techniques on Big data. Any Business Analyst who is working on creating reports and dashboards. Pre-requisites Some of the prerequisites for learning Data Science are familiarity with Hadoop, Machine Learning and knowledge of R (recommended not mandatory as these concepts will also be covered during the course). Also, having a statistical background will be an added advantage. Why Learn Data Science? 'Data Science' is a term which came into popularity in past decade. Data Science is the process of extracting valuable insights from "data". It is the right time to learn Data science because: We are living in the Big Data Era, Data Science is becoming a very promising field to harness and process huge volumes of data generated from various sources. A data scientist has a dual role -- that of an "Analyst" as well as that of an "Artist"! Data scientists are very curious, who love large amount of data, and more than that, they love to play with such huge data to reach important inferences and spot trends. You could be one of them! As 'Data Science' is an emerging field, there is a plethora of opportunities available world across. Just browse through any of the job portals; you will be taken aback by the number of job openings available for Data scientists in different industries, whether it is IT or healthcare, Retail or Government offices or Academics, Life Sciences, Oceanography, etc. Read this blog post on Data Science to know more. http://www.edureka.co/blog/who-is-a-data-scientist/
Views: 208160 edureka!
Blackhat 2012 EUROPE  - Cyber-Attacks & SAP systems: Is Our Business-Critical Infrastructure Expose
This video is part of the Infosec Video Collection at SecurityTube.net: http://www.securitytube.net Blackhat 2012 EUROPE - Cyber-Attacks & SAP systems: Is Our Business-Critical Infrastructure Exposed? Global Fortune 1000 companies, large governmental organizations and defense entities have something in common: they rely on SAP platforms to run their business-critical processes and information. In this scenario, cyber-criminals looking to perform espionage, sabotage or financial fraud attacks know that these systems are keeping the business crown jewels. But, how difficult is for them to break into an SAP system today? Are we properly protecting the business information or are we exposed? Five years ago, we were invited to hold the first public presentation on real-world cyber-threats to SAP systems at BlackHat Europe 2007. Since then, we have performed specialized Penetration Tests against the SAP platforms of several of the largest organizations of the world, enabling us to get an educated answer to those questions. Join us in this new presentation to learn: How a cyber-attacker may break into an SAP system, completely anonymously. Which are the Top-10 technical vulnerabilities found in real-world SAP implementations. How protected are SAP systems from attacks over the Internet and internal networks. How feasible it is to detect attacks in real-time and/or forensic investigations. Which are the most effective measures to secure this business-critical platform. This presentation will feature live demonstrations of attacks, war stories and statistics from real-world assessments.https://media.blackhat.com/bh-eu-12/DiCroce/bh-eu-12-DiCroce-CyberAttacks_to_SAP_systems-WP.pdf https://media.blackhat.com/bh-eu-12/DiCroce/bh-eu-12-DiCroce-CyberAttacks_to_SAP_systems-Slides.pdf
Views: 1295 SecurityTubeCons
http://www.abaplovers.blogspot.com/ User Exits in SAP Sales and Distribution
Views: 2754 sapabapfriend
This access tutorial runs through Parts 1-3 of the Business Analytics Assignment for Professor Yim's Information Systems II class at Fordham University.
Views: 174 Shannen Heath
HWTAC Webinar 017 - Data Visualization: Strategies, Tips, and Tools
HWTAC Webinar 017 - Data Visualization: Strategies, Tips, and Tools Data visualization can be a powerful tool for detecting patterns in data and for sharing data accessibly with a wide audience. This webinar will introduce the basics of data visualization with an eye towards practice, including simple tips and tricks to help create effective visualizations. The webinar will also discuss the major tools available to create static or web-based interactive visualizations. Live Q&A session included. Original broadcast: February 10, 2016 Presenter: Matt Jansen, Data Analyst, UNC Libraries Moderator: David Armstrong, PhD
Best LinkedIn Missing Data Extractor [LinkedIn Missing Data Extractor]
Website: http://www.ahmadsoftware.com/103/linkedin-missing-data-extractor.html LinkedIn Missing Data Extractor is the supporting tool to LinkedIn Lead Extractor, LinkedIn Sales Navigator Extractor, LinkedIn Recruiter Extractor, LinkedIn Company Extractor software. It takes LinkedIn profiles (exported by LinkedIn Extractor software) data as an input and extracts missing information like email address, phone number from search engines, and companies websites. It adds extracted email addresses, and phone numbers inline with the imported LinkedIn extractor software file(.CSV, .XSLX). You can export searched information in .XLSX, .CSV file (Opens in EXCEL), TAB delimited .TXT file. It has easy-to-use, straightforward and user friendly user interface. LinkedIn Missing Data Extractor" takes LinkedIn profiles (Exported by LinkedIn Extractor software) list as an input and extracts email addresses, phone numbers and messenger ids from search engines and LinkedIn members' company websites.
Views: 98 Abir Alish
How To Install KNIME Analytics Platform on Windows, Installation and Administration Guide
This video is an introduction of KNIME. KNIME is an open source platform for data analysis, predictive KNIME, the open platform for your data. ... Course for KNIME Analytics Platform, Berlin - November 2017. 15 Nov 2017. Course for KNIME Server, Berlin KNIME (pronounced /naɪm/), the Konstanz Information Miner, is an open source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface allows assembly of nodes for data preprocessing (ETL: Extraction, Transformation, Loading), for modeling and data analysis and visualization without, or with only minimal, programming. To some extent KNIME can be considered as an SAS alternative. Since 2006, KNIME has been used in pharmaceutical research,[2] but is also used in other areas like CRM customer data analysis, business intelligence and financial data analysis. History: The Development of KNIME was started January 2004 by a team of software engineers at University of Konstanz as a proprietary product. The original developer team headed by Michael Berthold came from a company in Silicon Valley providing software for the pharmaceutical industry. The initial goal was to create a modular, highly scalable and open data processing platform which allowed for the easy integration of different data loading, processing, transformation, analysis and visual exploration modules without the focus on any particular application area. The platform was intended to be a collaboration and research platform and should also serve as an integration platform for various other data analysis projects. In 2006 the first version of KNIME was released and several pharmaceutical companies started using KNIME and a number of life science software vendors began integrating their tools into KNIME. Later that year, after an article in the German magazine c't users from a number of other areas[9][10] joined ship. As of 2012, KNIME is in use by over 15,000 actual users (i.e. not counting downloads but users regularly retrieving updates when they become available) not only in the life sciences but also at banks, publishers, car manufacturer, telcos, consulting firms, and various other industries but also at a large number of research groups worldwide. Latest updates to KNIME Server and KNIME Big Data Extensions, provide support for Apache Spark 2.0. Internals KNIME allows users to visually create data flows (or pipelines), selectively execute some or all analysis steps, and later inspect the results, models, and interactive views. KNIME is written in Java and based on Eclipse and makes use of its extension mechanism to add plugins providing additional functionality. The core version already includes hundreds of modules for data integration (file I/O, database nodes supporting all common database management systems through JDBC), data transformation (filter, converter, combiner) as well as the commonly used methods of statistics, data mining, analysis and text analytics. Visualization supports with the free Report Designer extension. KNIME workflows can be used as data sets to create report templates that can be exported to document formats like doc, ppt, xls, pdf and others. Other capabilities of KNIME are: KNIMEs core-architecture allows processing of large data volumes that are only limited by the available hard disk space (most other open source data analysis tools work in main memory and are therefore limited to the available RAM). E.g. KNIME allows analysis of 300 million customer addresses, 20 million cell images and 10 million molecular structures. Additional plugins allows the integration of methods for Text mining, Image mining, as well as time series analysis. KNIME integrates various other open-source projects, e.g. machine learning algorithms from Weka, the statistics package R project, as well as LIBSVM, JFreeChart, ImageJ, and the Chemistry Development Kit. KNIME is implemented in Java but also allows for wrappers calling other code in addition to providing nodes that allow running Java, Python, Perl and other code fragments. also a ML tool is WEKA(A Data Mining Tool)
Views: 167 BaD Gaming
Panduan Visualisasi Data Sederhana dan Penggunaan Fitur New Measure pada Microsoft Power BI Desktop
Berikut ini adalah video Tutorial Penggunaan Microsoft Power BI Credit : - Microsoft Power BI - Video Maker : Camtasia - Sound : 1 - Spring in my step 0:00 2 - Blue skies 1:58 3 - Ponies and Balloons 4:42 4 - Claudio the worm 7:45 5 - Someone your own size 9:46 Thaks for Watching cheeers :)
Tools, Scorecards & Dashboards from Analytics Quotient (AQ)
Analytics Quotient - Tools, Scorecards & Dashboards - Bring your business data to life with our customized analytical tools which help you visualise, interact and analyse data better For Analytics Quotients Case Studies : Subscribe Youtube Channel - https://www.youtube.com/user/analyticsquotient Visit AQ site - http://www.aqinsights.com/ Follow us on Twitter - https://twitter.com/AQInsights LinkedIn Profile - https://www.linkedin.com/company/analytics-quotient
Views: 1934 Analytics Quotient

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