Search results “Sap bw data mining example”
Data Mining with SAP Predictive Analysis - Data Geek Challenge 2013
This video illustrates an example of how to build an end-to-end machine learned model using SAP Predictive Analysis. Furthermore the video walks you through the aspect of training your model with respect to BIAS in your data. The effect of incorrect sampling data from a BIAS sorted dataset is demonstrated. The dataset is based on the well known IRIS that is provided with R. Let me know if you would like a copy of the dataset so that you can try this yourself. Finally the machine trained model is then applied to new data in order to perform predictions.
Views: 2361 Kurt Holst
SAP Predictive Analytics Industry Use-Cases
In this session, Andreas, from the global centre of excellence at SAP, shows SAP Predictive Analytics in action, using real world examples from different industries and domains. Learn how various predictive techniques can be applied on data that comes from existing systems and solutions in your IT landscape. You will also be able to try these hands-on examples for yourself and then understand how predictive analytics can help you to realize the business value for your specific needs. Agenda: Introduction: 1:30 Solve Real Problems: 8:08 Why SAP: 16:14 Core Mining Functions: 18:53 Demo: 23:39 Customer Success: 33:18 Forecasting Demo: 36:54
Views: 15229 SAP Analytics
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Edureka
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** This Data Warehouse Interview Questions And Answers tutorial will help you prepare for Data Warehouse interviews. Watch the entire video to get an idea of the 30 most frequently asked questions in Data Warehouse interviews. - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt. #DataWarehouseInterviewQuestions #DataWarehouseConcepts #DataWarehouseTutorial Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
Views: 106385 edureka!
SAP BW / BI tutorial for beginners
For complete SAP BW training visit; http://myerp-training.com/sap-bw-video-training/
Views: 101909 myTech-school
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: 45353 vcilt14
Data Ware Housing : Data Mart  Tutorial
Plz visit this link for introduction to Data Ware house:https://www.youtube.com/watch?v=Hmx8dX29LrQ Data Marts are the subset of Data warehouse, which focuses on Particular subject or department, such as sales, finance or marketing. 3 types of Data Mart Independent Data Mart Dependent Data Mart Hybrid Data Mart Independent Data mart depends on operational data source or external data source for data. Dependent Data mart depends on Enterprise Data ware house for data. Hybrid Data Mart depends on both data warehouse and operational, external data ware house for data. Goals of Data Mart Ease to Access frequently needed data. improves End user respose time. Significant cost saving by eliminating redundant data. Focuses on Data Eligibility. Data marts are created much faster. Difference between data mart & Data ware house is explained. Top down & Bottom Up approach of Data ware house is also explained.
Data Science for Consultants - Predictive Analytics using SAP
This demo illustrates the basic principles involved in building a predictive model and also, How to apply the model to solve a business requirement. The demo uses SAP BO Predictive Analytic tool.
Views: 294 Rajeev Sinha
What is Transaction Data?
For any bank, payment processor or other financial institution concerned about the end customer experience, transaction data is your goldmine. Each transaction that travels across an ATM, POS, Mobile Banking, Internet Banking, Branch, Core Banking or Messaging Middleware environment can provide powerful answers to questions such as: - What are customers experiencing? - How are my networks, applications and third party service providers responding? - What is the business value of each consumer transaction from a revenue or service perspective? In today’s complex networks, electronic transaction volumes continue to increase, leading to some Big Data challenges. One transaction is often made up of sub transactions – many moving parts between a start point such as the ATM, and the end point, such as a host authorization. These moving parts could include things such as transaction switches, firewalls, service applications or host security models. When INETCO talks about transactions, we talk about all the Big Data collected on an end-to-end transaction path, correlated into one, complete transaction.
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: 5845 Tech Coach
Rollup, data warehousing, olap
Views: 2883 Dr. Girija Narasimhan
What are Dimensions and Measures?
This short video provides a business friendly description of Dimensions, Measures, Hierarchies, and Data Grain. To Talk with a Specialist go to: http://www.intricity.com/intricity101/
Views: 125191 Intricity101
What do Data Warehouse and Business Intelligence do
A fun way to explain my job as a Data Warehouse and Business Intelligence engineer
Views: 22936 lutingh
SAP HANA Academy - BW/4HANA: Data Flows - How to connect objects more easily
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: 3607 SAP HANA Academy
Excel Tutorial: What is Business Intelligence and an OLAP Cube? | ExcelCentral.com
This video lesson fully explains the concepts of Business Intelligence, OLAP, MDX and and how they apply to Excel 2013. At http://ExcelCentral.com you can view over 850 free Excel video lessons just like this one. All in full HD with vari-speed and human-transcribed subtitles providing the perfect Excel learning environment. You can also track your progress through the course and print a certificate upon completion. Separate videos are provided for Excel 2007, Excel 2010 and Excel 2013. The lesson begins with an explanation of OLAP and its purpose. You'll learn about OLAP Cubes and how they are divided into Dimensions, Measure and Hierarchies to create a multidimensional data structure. You'll also learn about how the MDX query language is used to extract values from OLAP cubes. This lesson also explains the concept of Business Intelligence and how it applies to OLAP. This video comes from the Data Model, OLAP, MDX and BI session (Session 6 in our Excel 2013 Expert Skills free video training course). This session includes the following video lessons: ▪ Lesson 6-1: Understand primary and foreign keys (11m 27s) http://excelcentral.com/excel2013/expert/lessons/06010-understand-primary-key-foreign-key-relationships.html ▪ Lesson 6-2: Create a simple data model (6m 31s) http://excelcentral.com/excel2013/expert/lessons/06020-create-a-simple-data-model.html ▪ Lesson 6-3: Understand OLAP, MDX and Business Intelligence (10m 17s) http://excelcentral.com/excel2013/expert/lessons/06030-what-is-business-intelligence-and-an-olap-cube.html ▪ Lesson 6-4: Use the GETPIVOTDATA function (4m 31s) http://excelcentral.com/excel2013/expert/lessons/06040-use-the-getpivotdata-function.html ▪ Lesson 6-5: Use the CUBEVALUE function to query an OLAP cube (5m 40s) http://excelcentral.com/excel2013/expert/lessons/06050-use-the-cubevalue-function-to-query-an-olap-cube.html ▪ Lesson 6-6: Convert CUBEVALUE functions to include MDX expressions (5m 48s) http://excelcentral.com/excel2013/expert/lessons/06060-convert-cubevalue-functions-to-include-mdx-expressions.html ▪ Lesson 6-7: Understand OLAP pivot table limitations (10m 52s) http://excelcentral.com/excel2013/expert/lessons/06070-understand-olap-pivot-table-limitations.html ▪ Lesson 6-8: Create an asymmetric OLAP pivot table using Named Sets (4m 57s) http://excelcentral.com/excel2013/expert/lessons/06080-create-an-asymmetric-olap-pivot-table-using-named-sets.html ▪ Lesson 6-9: Understand many-to-many relationships (11m 5s) http://excelcentral.com/excel2013/expert/lessons/06090-understand-many-to-many-relationships.html ▪ Lesson 6-10: Create an OLAP pivot table using a many-to-many relationship (12m 47s) http://excelcentral.com/excel2013/expert/lessons/06100-create-an-olap-pivot-table-using-a-many-to-many-relationship.html You can watch any of the 850 Excel video lessons, free and without any required registration at http://excelcentral.com/excel2013/expert/tutorials/default.html.
Views: 254491 ExcelCentral.com
Clustering Individual Transactional Data for Masses of Users
Clustering Individual Transactional Data for Masses of Users Riccardo Guidotti (University of Pisa) Anna Monreale (University of Pisa) Mirco Nanni (KDD-Lab ISTI-CNR Pisa) Fosca Giannotti (ISTI-CNR) Dino Pedreschi (University of Pisa) Mining a large number of datasets recording human activities for making sense of individual data is the key enabler of a new wave of personalized knowledge-based services. In this paper we focus on the problem of clustering individual transactional data for a large mass of users. More on http://www.kdd.org/kdd2017/
Views: 5014 KDD2017 video
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
Introducing SAP Process Mining by Celonis
Watch this animated video to see how SAP Process Mining by Celonis allows you to visualize and understand the operative processes running within and across your SAP solutions. The solution enables you to distill large volumes of real-time data about business process execution and gain a clear picture of when tasks are performed and whether processes are running as-designed.
Views: 32934 SAP Technology
SAP HANA Academy - PAL: Clustering Using K-Means
Philip Mugglestone introduces the new Predictive Analysis Library component of SAP HANA 1.0 SPS5 release. In this ninth video, we examine the KMeans method of Cluster analysis. To access the code snippets used in the video series please visit https://github.com/saphanaacademy/PAL
Views: 5636 SAP Technology
Data Warehouse and Business Intelligence: OLAP Servers and Operations
OLAP Servers and Operations
Views: 41605 minderchen
SAP BIBW OVERVIEW: Sap Best is a Standard e-Learning Center for different Courses. SAP BEST offers its students a range of technical/functional courses in accordance with Course standards. SAP BEST Education introduces a new, student centric approach to training: a range of interactive web-based courses designed specifically to deliver effective knowledge transfer whenever it is needed. These courses are targeted to working professionals, experienced consultants, and new graduates.SAP BEST provides Training & Placement Assistance.We give you Top 100 Interview Questions, Guidelines on Resume preparation - built in best corporate standards according to the Job description. We will market the resume for top clients in the IT market. FEATURES OF SAP BEST: Course Duration: 60 Hours Access: With 2 months Server access Trainer Details: 6+ Years Real Time Consultant Prerequisites: Any Graduate, It is not compulsory, Fresher's also can learn this course. Material: Soft Copy of Training Materials, Session Video Recordings will be provided. After Training: Resume preparation, Interview Questions, Career Support will be provided. Support : 24/7 Customer Support Other Offered Modules: SAP: BPC, BASIS, ABAP,BO ADMIN, FICO, MDM, CRM TRAINING, HANA , FSCM, Ithis is the text that will type when you click your cursor on a form field, then click on Sample Button 1S UTILITIES, BO DATA SERVICES, APO. DWH: ABINITIO, INFORMATICA, DATA STAGE, AJAX, HADOOP, WEBSPHERE TRAINING and many more Top technologies in the IT Market. Contact us for more details and Session Schedules at: http://sapbestonlinetraining.com/sap-bi-bw-online-training.php Ind: +91 8688888976,, USA: +1666-313-4151 Email: [email protected], Web: http://www.sapbestonlinetraining.com
Fujitsu Forum 2014 Breakout Session - Data Mining
Data Mining - Lift the Treasure of your Data by SAP HANA & Consulting A vast, ever-growing amount of structured and unstructured data from different sources is flowing into your business. In order to properly deal with this flood of data, you need smart and reliable access. With the methods of predictive analysis and data mining, you are able to draw the full potential of the data volume for your business. We show you opportunities for forward-looking planning and reliable predictions on the basis of Big Data by using the in-memory technology SAP HANA. Speakers: Mr. Benedikt Wenzel (Fujitsu TDS GmbH)
Views: 655 Fujitsu Forum
Decision Tree Consulting - SAP Practice
Decision Tree Consulting LLC can help you with all you SAP needs. Our dedicated certified SAP professional will assist you with SAP Consulting Service for : SAP Implementations & Roll Outs SAP Business Objects SAP HANA SAP BW Ez Fiori To learn more on DTC products and about how Decision Tree Consulting LLC can help your business process with SAP Practice. Contact : [email protected] Website : http://www.decisiont.com/
Difference between OLTP and OLAP  in sap bi
Difference between OLTP and OLAP in sap bi
Views: 1747 Raja Giri
SAP HANA Academy - APL: Predicting Auto Insurance Claim Fraud - Desktop [2.4]
In this video, part of the SAP Automated Predictive Library (APL) for SAP HANA series, we will use the Predictive Analytics desktop to predict auto insurance claim fraud. Processing is delegated to the APL on the HANA server where the data resides. This example shows how an insurance company assesses past insurance frauds in order to create a category of client characteristics that may be susceptible to make fraudulent claims. The first step of the analysis is to prepare the main input tables, one containing data that has already been analyzed, that contains some known fraud cases. This table is used to train the model. The results are used to indicate which variable(s) to use as the target and describe the claims data. After considering past data and past fraudulent claims, the customer uses the data to train the APL model on that date produce an updated model that will be applied to the new data in order to detect potential fraud risks. After training the model, the APL function returns summary information regarding the model as well as indicators like the Predicitve Power (KI) of the model, or the Prediction Confidence of the results (KR). At the end of the data mining process, the “Apply Model” function produces scores in the form of a table that can be queried. This video was created using SAP Predictive Analytics 2.4, SAP Automated Predictive Library 2.4 and SAP HANA SPS 10. Video by the SAP HANA Academy
Views: 3145 SAP HANA Academy
SAP Advanced Data Migration for S/4HANA by BackOffice Associates
SAP Advanced Data Migration by BackOffice Associates efficiently manages all activities of complex SAP S/4HANA data migrations for on-time, on-budget Go-Lives. Designed for S/4HANA, it reduces data migration costs and risks, and ensures accurate transformations of data from any system to S/4HANA.
Views: 1620 BackOffice Associates
SAP BW 73 Ficheros EXCEL directos
SAP BW 73 Ficheros EXCEL directos
Views: 102 BWSAP & BOSAP
Star Schema & Extended Star Schema - SAP BW 7.3 Training April 2015
Learn SAP BW 7.4 - Zero to Hero Complete course for 50% Discount https://goo.gl/4fKFu4 -~-~~-~~~-~~-~- Please watch: "జపాన్ లో షాపింగ్ ఎలా చేస్తారో తెలుసా!!" https://www.youtube.com/watch?v=lBN0Itj8AUY -~-~~-~~~-~~-~-
Views: 3972 KHHIRAAN J
SAP HANA Academy - APL: Getting Started - Reference Guide & Download [2.4]
In this video, part of the SAP Automated Predictive Library (APL) for SAP HANA series, we will introduce the SAP Automated Predictive Library (APL), download the APL reference guide, then download sample data & code and extract them for later use. This video was created using SAP Automated Predictive Library 2.4 and SAP HANA SPS 10. Video by the SAP HANA Academy
Views: 2202 SAP HANA Academy
Online Transnational Processing Vs Online Analytical Processing. JH SOFTECH SAP Training Video SAP Interview Preparation: https://www.youtube.com/playlist?list=PL6hZo0-ANOSVqmH49yYbJHc4E2WIUOWp9 SAP Real Time project Training : https://www.youtube.com/playlist?list=PL6hZo0-ANOSXkhtV2YDL5CmKjSDqOB7NK SAP Latest Trends : https://www.youtube.com/playlist?list=PL6hZo0-ANOSVsKBA6qXLvtugTiGDRI4iA SAP S/4 HANA : https://www.youtube.com/playlist?list=PL6hZo0-ANOSUXtL3KvbhsppkD7Ye6CmlD SAP ABAP: https://www.youtube.com/playlist?list=PL6hZo0-ANOSVpD_dAq-7kjWnfbDKIjmlV SAP BW : https://www.youtube.com/playlist?list=PL6hZo0-ANOSXakshEv6Bsbh2omb9NgLbM SAP FICO : https://www.youtube.com/playlist?list=PL6hZo0-ANOSXX0Pq0hPVHMkWObYqt8CF- SAP MM : https://www.youtube.com/playlist?list=PL6hZo0-ANOSUSrgXK9WkqZY0tgWrGStx0 SAP HR : https://www.youtube.com/playlist?list=PL6hZo0-ANOSW88YvOzZpkk2nMmw_t3TGp SAP HANA : https://www.youtube.com/playlist?list=PL6hZo0-ANOSWEh0F9vT3DpgLSnPeEZjuM SAP S/4 HANA Finance : https://www.youtube.com/playlist?list=PL6hZo0-ANOSUXfxk_gm4tPLIZ3_VLbu7m SAP S/4 HANA Logistics : https://www.youtube.com/playlist?list=PL6hZo0-ANOSUsabnWwLs_vihte4MDgrtz SAP HANA ABAP : https://www.youtube.com/playlist?list=PL6hZo0-ANOSW-fHyR-XI1YdXH699h6YVh Artificial Intelligence: https://www.youtube.com/playlist?list=PL6hZo0-ANOSX6zMDq9rByJSzi-mJobC16
Views: 556 Jh Softech
What is a Data Warehouse, Data Mart & a Reporting Database (DW/DM/RDB)
Watch this video to find out what exactly are Data Warehouses, Data Marts and Reporting Databases. We examine why overall the terminology used encompasess tthe concept that describes the creation of a set of tables used for reporting and analysis which is separate from the data creation systems. Watch the next series of videos where WCI goes into details about: - why you need a data warehouse - when you need to get a data warehouse - and how do you go about taking the first steps to get one
Views: 23870 WCI Data Solutions
How to use SAP Predictive Analysis with R algorithms
In this video I will demonstrate how to use algorithms based on the language R. There is just a few steps needed to enhance SAP Predictive Analysis with new R algorithms. With the use of R in SAP PA you can: Extend the data mining capabilities with many new algorithms Enhance with even further charts / visualization capabilities. Pre-requisites -- installed software: SAP Predictive Analysis version 1.0.11 R 2.15 with the necessary libraries with r algorithms. Best regards, Kurt Holst
Views: 5615 Kurt Holst
Big Data: Actionable Information
With support from the National Science Foundation and major technology companies such as IBM and Hewlett Packard, Professor Elke Rundensteiner leads a research group focused on very large database and information systems in support of advanced applications in business, engineering, and the sciences. Much of her current work focuses on Big Data and the development of tools to extract actionable information out of complex data sets. In the area of health care, for example, she and her team are working with the Food and Drug Administration to develop machine learning algorithms that can pore over reports on incidents involving drugs and medical devices. Because of inconsistencies in how the reports are filled out, they are difficult to analyze, meaning possible health threats may go unnoticed. Rundensteiner's tools learn to locate and rank the relevant information, which can help important—and, possibly, life-saving—patterns rise to the surface.
Views: 572 WPI
Solving Business Issues with Data Science. Learn from this Insurance Use Case
Data science is a priority for your businesses, and data science teams are under more pressure than ever to deliver ROI. What does it look like to deliver business value? Watch this example of how a data science team can help multiple departments prepare for an upcoming storm, reducing the financial and operational impact on the company. IBM’s Irina Saburova and Rosie Pongracz will take you through a demonstration of how the Finance, Operations and Fraud departments benefit from the use of a diverse set of tools and techniques. Video Chapters: 01:28 - Chapter 1 "Use case scenario overview" Duration (2:26) 03:54 - Chapter 2 "Forecasting" Duration (1:40) 05:34 - Chapter 3 "Optimization" Duration (1:47) 07:21 - Chapter 4 "Fraud Detection" Duration (1:34) 08:55 - Chapter 5 "Streamlining procurement and claim management" Duration (1:35) 10:30 - Chapter 6 "Summary" Duration (2:07) Request a consultation - https://www.ibm.com/analytics/common/scheduler/expert-advice Learn more - https://www.ibm.com/products/data-science-experience
Views: 920 IBM Analytics
Visualise Your UNSPSC Spend Data
Instructions on how to visualise your own spend data if it is categorised against UNSPSC codes. To use the tool, please go to: http://acquireprocure.com/visualise-your-unspsc-spend-data/
Why CDS Views Came into Existence and Advantage Over Native Modeling Views
AMDP Course Live, which is a part of CDS Professional and Advanced Week2. AMDP is predominantly getting used in projects, With AMDP you can keep your structure in ABAP® repository(Application Server) and make the implementation code execute inside the HANA® Database. So you can get good from both the world. Visit CDS Professional Development Course: https://www.ui5cn.com/courses/cds-professional-development Visit New ABAP® on HANA® Bundle: https://www.ui5cn.com/bundles/abap-on-hana In this week we have focused our attention on AMDP and covered the topic from basic level to professional level including: - Getting a Solid Foundation of AMDP and reason behind its use - Creation of AMDP Class and use in ABAP Report - Creation of Complex AMDP Classes with Methods and Use in ABAP Report - Creation of AMDP Classes Utilizing CDS View Structure also known as Tabular Functions - Use of Class Method vs Method in AMDP - How to perform Business Logic Implementation or Calculation Inside AMDP Method - Use of AMDP Method Inside another AMDP Method - Debugging AMDP Method - Understanding Where the Table Types and Procedures are Getting Stored in HANA® for AMDP and more. We also provide a developer helper guide ebook to read on the go and help you in the project. Join the course and learn AMDP from Basic level to Professional Level in a step-by-step manner.
Views: 1065 UI5 Community Network
Filter the data in a dataset or a predictive workflow: SAP Predictive Analysis 1.17
In SAP Predictive Analysis, you can apply filters to restrict data in the Prepare workspace or in the Predict workspace. In this tutorial, we will use both methods to restrict the data for analysis. Visit us at http://www.sap.com/LearnBI to view our full catalog of interactive SAP BusinessObjects BI Suite tutorials.
SSIS  in Telugu :SQL Server Integration Services in Telugu
SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software that can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a data warehousing tool used for data extraction, transformation, and loading (ETL). The tool may also be used to automate maintenance of SQL Server databases and updates to multidimensional cube data. SSIS is part of MSBI - Microsoft Business Intelligence. This powerful suite is composed of tools which help in providing best solutions for Business Intelligence and Data Mining Queries. This tool uses Visual studio along with SQL server.
Views: 2334 Learners Page
SAP HANA Academy - Text Analysis: SAP Language Codes [SPS 11]
In SAP HANA Text Analysis, when you create a Full Text Index, you can specify an input language for each row, which helps with performance and accuracy as you bypass bypass automatic language detection. In SPS11, you can now choose between specifying ISO 639 language codes OR SAP language codes which can now be optionally utilized. In this video, Tahir Hussain Babar (Bob) shows how it works. Scripts ; https://github.com/saphanaacademy/TextAnalysis_Search_Mining/blob/master/TextAnalysis_SPS11.txt Thank you for watching. Video by the SAP HANA Academy. SOCIAL MEDIA 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
Views: 597 SAP HANA Academy
SAP Cloud Platform - Predictive Services - Key Influencers (Wines samples )
PoC of the of the SAP Cloud Platform Predictive Services. In this video I tested the Key Influencers service applied to wines physicochemical and sensory characteristics. Data Set source: P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.
Views: 126 Luca Macagnino
What is DATA MART? What does DATA MART mean? DATA MART meaning, definition & explanation
✪✪✪✪✪ WORK FROM HOME! Looking for WORKERS for simple Internet data entry JOBS. $15-20 per hour. SIGN UP here - http://jobs.theaudiopedia.com ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is DATA MART? What does DATA MART mean? DATA MART meaning - DATA MART definition - DATA MART explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A data mart is the access layer of the data warehouse environment that is used to get data out to the users. The data mart is a subset of the data warehouse and is usually oriented to a specific business line or team. Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department. In some deployments, each department or business unit is considered the owner of its data mart including all the hardware, software and data. This enables each department to isolate the use, manipulation and development of their data. In other deployments where conformed dimensions are used, this business unit ownership will not hold true for shared dimensions like customer, product, etc. Organizations build data warehouses and data marts because the information in the database is not organized in a way that makes it readily accessible, requiring queries that are too complicated or resource-consuming. While transactional databases are designed to be updated, data warehouses or marts are read only. Data warehouses are designed to access large groups of related records. Data marts improve end-user response time by allowing users to have access to the specific type of data they need to view most often by providing the data in a way that supports the collective view of a group of users. A data mart is basically a condensed and more focused version of a data warehouse that reflects the regulations and process specifications of each business unit within an organization. Each data mart is dedicated to a specific business function or region. This subset of data may span across many or all of an enterprise’s functional subject areas. It is common for multiple data marts to be used in order to serve the needs of each individual business unit (different data marts can be used to obtain specific information for various enterprise departments, such as accounting, marketing, sales, etc.). The related term spreadmart is a derogatory label describing the situation that occurs when one or more business analysts develop a system of linked spreadsheets to perform a business analysis, then grow it to a size and degree of complexity that makes it nearly impossible to maintain.
Views: 8703 The Audiopedia
05 Introduction to Business Intelligence and Data Modelling P2
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SAP HANA Academy - Streaming Analytics: Creating a Hoeffding Tree Training Model [2.0 SP 01]
In this video tutorial, learn how to build a classification training model using the streaming machine learning capabilities in SAP HANA streaming analytics. CONNECT WITH US Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/in/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/+saphanaacademy Github: https://github.com/saphanaacademy Thank you for watching. Video by the SAP HANA Academy.
Views: 852 SAP HANA Academy
SAP HANA Academy - Text Analysis - Hands-on TechEd 2017
Code snippets: https://github.com/saphanaacademy/TextAnalysis_Search_Mining CONNECT WITH US Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/in/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/+saphanaacademy Github: https://github.com/saphanaacademy Thank you for watching. Video by the SAP HANA Academy.
Views: 171 SAP HANA Academy
SAP Mobile BI Analytics
The latest SAP mobile BI analytics application running in an iPad showing a retail example with workflow facilitated by Streamwork
Views: 1430 Den Howlett
SAP HANA Academy - EML: 02. Getting Started with the External Machine Learning Library [2.0 SPS 02]
In this video tutorial, Philip Mugglestone explains how to get started using the SAP HANA External Machine Learning Library (EML) with SAP HANA 2.0 SPS 02. Philip covers how to configure a new server for EML usage, including where to find the reference guide, how to obtain the SAP HANA Academy code snippets, managing tenant databases, activating the script server and how to define an authorized EML administrator and developer user. To access the code snippets used in the video series please visit https://github.com/saphanaacademy/EML CONNECT WITH US Feel free to connect with us at the links below: LinkedIn: https://linkedin.com/in/saphanaacademy Twitter: https://twitter.com/saphanaacademy Facebook: https://www.facebook.com/saphanaacademy/ Google+: https://plus.google.com/+saphanaacademy Github: https://github.com/saphanaacademy Thank you for watching. Video by the SAP HANA Academy.
Views: 2897 SAP HANA Academy

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