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(BI) Using MS Excel Powerpivot
2018 ASCUE Proceedings Developing an Introductory Class in Business Intelligence (BI) Using MS Excel Powerpivot Dr. Sam Hijazi Trevor Curtis Texas Lutheran University 1000 West Court Street Seguin, Texas 78130 [email protected] Abstract Asking questions about your data is a constant application of all business organizations. To facilitate decision making and improve business performance, a business intelligence application must be an in- tegral part of everyday management practices. Microsoft Excel added PowerPivot and PowerPivot offi- cially to facilitate this process with minimum cost, knowing that many business people are already fa- miliar with MS Excel. This paper will design an introductory class to business intelligence (BI) using Excel PowerPivot. If an educator decides to adopt this paper for teaching an introductory BI class, students should have previ- ous familiarity with Excel’s functions and formulas. This paper will focus on four significant phases all students need to complete in a three-credit class. First, students must understand the process of achiev- ing small database normalization and how to bring these tables to Excel or develop them directly within Excel PowerPivot. This paper will walk the reader through these steps to complete the task of creating the normalization, along with the linking and bringing the tables and their relationships to excel. Sec- ond, an introduction to Data Analysis Expression (DAX) will be discussed. Introduction It is not that difficult to realize the increase in the amount of data we have generated in the recent memory of our existence as a human race. To realize that more than 90% of the world’s data has been amassed in the past two years alone (Vidas M.) is to realize the need to manage such volume. -
Calculated Field in Pivot Table Data Model
Calculated Field In Pivot Table Data Model Frostbitten and unjaundiced Eddie always counteracts d'accord and cowl his tana. New-fashioned and goniometrically,anarchical Ronny however never swop potentiometric his belittlement! Torre enunciatedRevolved Gordan harmonically tunneling or beat-up. or gimlets some doxologies In regular Pivot Tables, you can group numeric, data or text fields. Product of Reliable Bioreactors on Site. Here are exclusive to model in pivot calculated field table data model that data model and used when creating pivot. Power Query, Data model, DAX, Filters, Slicers, Conditional formats and beautiful charts. Eg if you are counting customers that have purchased and have years on rows. Why is this last part important? Depending on the source of data, relationships may or may not be created when the model is initially set up. This data is provided by Microsoft for informational purposes only as an aid to illustrate a concept. To use and limitations and share some limitations of calculated field in pivot table data model. Yeah, good points Derek. Date field, and use it to show a count of orders. Ins menu in the model in pivot calculated field list table that i mentioned earlier, we shall not. Please start a new test to continue. Displays all of the values in each column or series as a percentage of the total for the column or series. This is used to present users with ads that are relevant to them according to the user profile. Note: use the Insert Item button to quickly insert items when you type a formula. -
Sharing Files with Microsoft Office Users
Sharing Files with Microsoft Office Users Title: Sharing Files with Microsoft Office Users: Version: 1.0 First edition: November 2004 Contents Overview.........................................................................................................................................iv Copyright and trademark information........................................................................................iv Feedback.................................................................................................................................... iv Acknowledgments......................................................................................................................iv Modifications and updates......................................................................................................... iv File formats...................................................................................................................................... 1 Bulk conversion............................................................................................................................... 1 Opening files....................................................................................................................................2 Opening text format files.............................................................................................................2 Opening spreadsheets..................................................................................................................2 Opening presentations.................................................................................................................2 -
Database Performance Study
Database Performance Study By Francois Charvet Ashish Pande Please do not copy, reproduce or distribute without the explicit consent of the authors. Table of Contents Part A: Findings and Conclusions…………p3 Scope and Methodology……………………………….p4 Database Performance - Background………………….p4 Factors…………………………………………………p5 Performance Monitoring………………………………p6 Solving Performance Issues…………………...............p7 Organizational aspects……………………...................p11 Training………………………………………………..p14 Type of database environments and normalizations…..p14 Part B: Interview Summaries………………p20 Appendices…………………………………...p44 Database Performance Study 2 Part A Findings and Conclusions Database Performance Study 3 Scope and Methodology The authors were contacted by a faculty member to conduct a research project for the IS Board at UMSL. While the original proposal would be to assist in SQL optimization and tuning at Company A1, the scope of such project would be very time-consuming and require specific expertise within the research team. The scope of the current project was therefore revised, and the new project would consist in determining the current standards and practices in the field of SQL and database optimization in a number of companies represented on the board. Conclusions would be based on a series of interviews with Database Administrators (DBA’s) from the different companies, and on current literature about the topic. The first meeting took place 6th February 2003, and interviews were held mainly throughout the spring Semester 2003. Results would be presented in a final paper, and a presentation would also be held at the end of the project. Individual summaries of the interviews conducted with the DBA’s are included in Part B. A representative set of questions used during the interviews is also included. -
(UCP) in a Tomcat Application Container Requires the Following Steps
Design and Deploy TomCat AppliCations for Planned, Unplanned Database Downtimes and Runtime Load BalanCing with UCP In OraCle Database RAC and Active Data Guard environments ORACLE WHITE PAPER NOVEMBER 2017 DESIGN AND DEPLOY TOMCAT SERVLETS FOR PLANNED AND UNPLANNED DATABASE DOWNTIME AND LOAD BALANCING WITH UCP Table of Contents IntroduCtion 3 Issues to be addressed 3 OraCle Database 12C High-Availability and Load BalanCing ConCepts 4 Configure TomCat for UCP 4 Create a New Database Resource 4 Create a JNDI lookup in the servlet 5 Create a web.xml for the servlet 6 Hiding Planned MaintenanCe from TomCat Servlets 6 Web Applications Steps 6 DBA or RDBMS Steps 7 Hiding Unplanned Database downtime from TomCat Servlets 9 Developer or Web Application Steps 9 DBA or RDBMS Steps 10 Application Continuity Checklist 10 Runtime Load BalanCing (RLB) with TomCat Servlets 12 Web AppliCation steps 12 Appendix 13 Enable JDBC & UCP logging for debugging 13 ConClusion 14 2 DESIGN AND DEPLOY TOMCAT SERVLETS FOR PLANNED AND UNPLANNED DATABASE DOWNTIME AND LOAD BALANCING WITH UCP IntroduCtion Achieving maximum appliCation uptime without interruptions is a CritiCal business requirement. There are a number of requirements such as outage detection, transparent planned maintenanCe, and work load balanCing that influenCe appliCation availability and performance. The purpose of this paper is to help Java Web applications deployed with ApaChe TomCat, achieve maximum availability and sCalability when using Oracle. Are you looking for best praCtiCes to hide your tomCat applications from database outages? Are you looking at, smooth & stress-free maintenanCes of your tomCat appliCations? Are you looking at leveraging Oracle Database’s runtime load balancing in your tomCat web appliCations? This paper Covers the configuration of your database and tomCat servlets for resilienCy to planned maintenanCe, unplanned database outages, and dynamic balancing of the workload across 1 database instances, using RAC, ADG, GDS , and UCP. -
Fast Foreign-Key Detection in Microsoft SQL
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel Zhimin Chen Vivek Narasayya Surajit Chaudhuri Microsoft Research Microsoft Research Microsoft Research [email protected] [email protected] [email protected] ABSTRACT stored in a relational database, which they can import into Excel. Microsoft SQL Server PowerPivot for Excel, or PowerPivot for Other sources of data are text files, web data feeds or in general any short, is an in-memory business intelligence (BI) engine that tabular data range imported into Excel. enables Excel users to interactively create pivot tables over large data sets imported from sources such as relational databases, text files and web data feeds. Unlike traditional pivot tables in Excel that are defined on a single table, PowerPivot allows analysis over multiple tables connected via foreign-key joins. In many cases however, these foreign-key relationships are not known a priori, and information workers are often not be sophisticated enough to define these relationships. Therefore, the ability to automatically discover foreign-key relationships in PowerPivot is valuable, if not essential. The key challenge is to perform this detection interactively and with high precision even when data sets scale to hundreds of millions of rows and the schema contains tens of tables and hundreds of columns. In this paper, we describe techniques for fast foreign-key detection in PowerPivot and experimentally evaluate its accuracy, performance and scale on both synthetic benchmarks and real-world data sets. These techniques have been incorporated into PowerPivot for Excel. Figure 1. Example of pivot table in Excel. It enables multi- dimensional analysis over a single table. -
Building an Effective Data Warehousing for Financial Sector
Automatic Control and Information Sciences, 2017, Vol. 3, No. 1, 16-25 Available online at http://pubs.sciepub.com/acis/3/1/4 ©Science and Education Publishing DOI:10.12691/acis-3-1-4 Building an Effective Data Warehousing for Financial Sector José Ferreira1, Fernando Almeida2, José Monteiro1,* 1Higher Polytechnic Institute of Gaya, V.N.Gaia, Portugal 2Faculty of Engineering of Oporto University, INESC TEC, Porto, Portugal *Corresponding author: [email protected] Abstract This article presents the implementation process of a Data Warehouse and a multidimensional analysis of business data for a holding company in the financial sector. The goal is to create a business intelligence system that, in a simple, quick but also versatile way, allows the access to updated, aggregated, real and/or projected information, regarding bank account balances. The established system extracts and processes the operational database information which supports cash management information by using Integration Services and Analysis Services tools from Microsoft SQL Server. The end-user interface is a pivot table, properly arranged to explore the information available by the produced cube. The results have shown that the adoption of online analytical processing cubes offers better performance and provides a more automated and robust process to analyze current and provisional aggregated financial data balances compared to the current process based on static reports built from transactional databases. Keywords: data warehouse, OLAP cube, data analysis, information system, business intelligence, pivot tables Cite This Article: José Ferreira, Fernando Almeida, and José Monteiro, “Building an Effective Data Warehousing for Financial Sector.” Automatic Control and Information Sciences, vol. -
Planned/Unplanned Downtime and Runtime Load Balancing with UCP
Design and Deploy WebSphere Applications for Planned, Unplanned Database Downtimes and Runtime Load Balancing with UCP In Oracle Database RAC and Active Data Guard environments ORACLE WHITE PAPER AUGUST 2015 DESIGN AND DEPLOY WEBSPHERE SERVLETS FOR PLANNED AND UNPLANNED DATABASE DOWNTIME AND LOAD BALANCING WITH UCP Table of Contents Introduction 3 Issues to be addressed 3 Oracle Database 12c High-Availability and Load Balancing Concepts 4 Configure WebSphere for UCP 4 Create a New JDBC Provider 4 Create a New DataSource 8 Create a JNDI context in the servlet 19 Create a web.xml for the Servlet 20 WebSphere Tips 20 Hiding Planned Maintenance from WebSphere Applications 20 Developer or Web Applications Steps 21 DBA or RDBMS Steps 22 Hiding Unplanned Database Downtime from WebSphere applications 23 Developer or Web Application Steps 23 DBA or RDBMS Steps 24 Runtime Load Balancing (RLB) with WebSphere Servlets 24 Developer or Web Application steps 25 Appendix 26 Enable JDBC & UCP logging for debugging 26 Conclusion 27 DESIGN AND DEPLOY WEBSPHERE SERVLETS FOR PLANNED AND UNPLANNED DATABASE DOWNTIME AND LOAD BALANCING WITH UCP 2 Introduction Achieving maximum application uptime without interruptions is a critical business requirement. There are a number of requirements such as outage detection, transparent planned maintenance, and work load balancing that influence application availability and performance. The purpose of this paper is to help Java Web applications deployed with IBM WebSphere, achieve maximum availability and scalability when using Oracle. Are you looking for best practices to hide your web applications from database outages? Are you looking at, smooth & stress-free maintenances of your web applications? Are you looking at leveraging Oracle Database’s runtime load balancing in your WebSphere applications? This paper covers the configuration of your database and WebSphere Servlets for resiliency to planned, unplanned database outages and dynamic balancing of the workload across database instances, using RAC, ADG, GDS1, and UCP. -
Lead Database Support Technologist LOCATION
Office of Human Resources POSITION DESCRIPTION POSITION: Lead Database Support Technologist LOCATION: Information Technology REPORTS TO: Manager-Systems Development GRADE: PSA 14 WORK SCHEDULE: Non-Standard, 35 hours per week SUPERVISES: May exercise supervision over part-time and student employees. JOB SUMMARY: The Database Administrator (DBA) role is to design, install, monitor, maintain, and performance tune production, test/development, and QA database environments while ensuring high levels of data availability. This individual is also responsible for developing, implementing, and overseeing database policies and procedures to ensure the integrity and availability of all databases and their accompanying software. The DBA will design and implement redundant systems, policies and procedures for disaster recovery and data archiving to ensure effective protection and integrity of data assets, and will remain current with the latest technologies and industry/business trends. ESSENTIAL DUTIES AND RESPONSIBILITIES: Install, monitor, maintain and performance tune all Production, Test & Development databases including but not limited to Oracle and SQL server. Upgrade database management systems, including but not limited to Oracle and SQL server. Developing, implementing, and overseeing database policies and procedures to ensure the integrity and availability of Oracle databases and their accompanying software. Install and upgrade database applications by applying patches and upgrades on a regular schedule. Knight Campus 400 East Avenue, Warwick, RI 02886-1807 P: 401.825.2311 F: 401.825.2345 Provides technical support to application development teams. This is usually in the form of a help desk. The DBA is usually the point of contact for Oracle Support. Install, configure and upgrade server and database application components including but not limited to the portal platform, LDAP server, messaging server, calendar server, web server, payment gateway, internet based forms and self-service applications. -
Developing Database Applications
Developing Database Applications JBuilder® 2005 Borland Software Corporation 100 Enterprise Way Scotts Valley, California 95066-3249 www.borland.com Refer to the file deploy.html located in the redist directory of your JBuilder product for a complete list of files that you can distribute in accordance with the JBuilder License Statement and Limited Warranty. Borland Software Corporation may have patents and/or pending patent applications covering subject matter in this document. Please refer to the product CD or the About dialog box for the list of applicable patents. The furnishing of this document does not give you any license to these patents. COPYRIGHT © 1997–2004 Borland Software Corporation. All rights reserved. All Borland brand and product names are trademarks or registered trademarks of Borland Software Corporation in the United States and other countries. All other marks are the property of their respective owners. For third-party conditions and disclaimers, see the Release Notes on your JBuilder product CD. Printed in the U.S.A. JB2005database 10E13R0804 0405060708-987654321 PDF Contents Chapter 1 Chapter 4 Introduction 1 Connecting to a database 27 Chapter summaries . 2 Connecting to databases . 28 Database tutorials. 3 Adding a Database component to your Database samples . 3 application . 28 Related documentation . 4 Setting Database connection properties . 29 Documentation conventions . 6 Setting up JDataStore . 31 Developer support and resources. 7 Setting up InterBase and InterClient. 31 Contacting Borland Developer Support . 7 Using InterBase and InterClient with JBuilder . 32 Online resources. 7 Tips on using sample InterBase tables . 32 World Wide Web . 8 Adding a JDBC driver to JBuilder . -
COSC 304 Database Introduction
COSC 304 - Dr. Ramon Lawrence COSC 304 What is a database? Introduction to Database Systems A database is a collection of logically related data for a particular domain. Database Introduction A database management system (DBMS) is software designed for the creation and management of databases. Dr. Ramon Lawrence e.g. Oracle, DB2, Access, MySQL, SQL Server, MongoDB University of British Columbia Okanagan [email protected] Bottom line: A database is the data stored and a database system is the software that manages the data. Page 2 COSC 304 - Dr. Ramon Lawrence COSC 304 - Dr. Ramon Lawrence Databases in the Real-World Example Problem Databases are everywhere in the real-world even though you Implement a system for managing products for a retailer. do not often interact with them directly. Data: Information on products (SKU, name, desc, inventory) $25 billion dollar annual industry Add new products, manage inventory of products Examples: Retailers manage their products and sales using a database. How would you do this without a database? Wal-Mart has one of the largest databases in the world! Online web sites such as Amazon, eBay, and Expedia track orders, shipments, and customers using databases. The university maintains all your registration information and What types of challenges would you face? marks in a database. Can you think of other examples? What data do you have? Page 3 Page 4 COSC 304 - Dr. Ramon Lawrence COSC 304 - Dr. Ramon Lawrence Why do we need databases? File Processing Diagram Without a DBMS, your application must rely on files to store its data persistently. -
Database Administration
Accolades for Database Administration “I’ve forgotten how many times I’ve recommended this book to people. It’s well written, to the point, and covers the topics that you need to know to become an effective DBA.” —Scott Ambler, Thought Leader, Agile Data Method “This is a well-written, well-organized guide to the practice of database administration. Unlike other books on general database theory or relational database theory, this book focuses more directly on the theory and reality of database administration as practiced by database professionals today, and does so without catering too much to any specific product implementation. As such, Database Administration is very well suited to anyone interested in surveying the job of a DBA or those in similar but more specific roles such as data modeler or database performance analyst.” —Sal Ricciardi, Program Manager, Microsoft “One of Craig’s hallmarks is his ability to write in a clear, easy-to-read fash- ion. The main purpose of any technical book is to transfer information from writer to reader, and Craig has done an excellent job. He wants the reader to learn—and it shows.” —Chris Foot, Manager, Remote DBA Experts and Oracle ACE “A complete and comprehensive listing of tasks and responsibilities for DBAs, ranging from creating the database environment to data warehouse administration, and everything in between.” —Mike Tarrani, Computer Consultant “I think every business manager and every IT manager should have a copy of this book.” —Dan Hotka, Independent Consultant and Oracle ACE “This book by Craig Mullins is wonderfully insightful and truly important.