Introduction to Data Types and Field Properties Table of Contents OVERVIEW
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Data Analysis Expressions (DAX) in Powerpivot for Excel 2010
Data Analysis Expressions (DAX) In PowerPivot for Excel 2010 A. Table of Contents B. Executive Summary ............................................................................................................................... 3 C. Background ........................................................................................................................................... 4 1. PowerPivot ...............................................................................................................................................4 2. PowerPivot for Excel ................................................................................................................................5 3. Samples – Contoso Database ...................................................................................................................8 D. Data Analysis Expressions (DAX) – The Basics ...................................................................................... 9 1. DAX Goals .................................................................................................................................................9 2. DAX Calculations - Calculated Columns and Measures ...........................................................................9 3. DAX Syntax ............................................................................................................................................ 13 4. DAX uses PowerPivot data types ......................................................................................................... -
Sharepoint® 2010 and Onenote 2010, You Can Capture Ideas and Thoughts with Coworkers During a Brainstorming Session – on the Same Notebook, at the Same Time
Brought to you by: ® That’s Why SharePoint win I Use SharePoint ® Work together on content using iusesharepoint.com Microsoft® OneNote® 2010 Using Microsoft® SharePoint® 2010 and OneNote 2010, you can capture ideas and thoughts with coworkers during a brainstorming session – on the same notebook, at the same time. To collaborate on a notebook using OneNote: 1. Post your OneNote 2010 content to a SharePoint 2010 site. 2. Co-authoring is automatically enabled when multiple individuals open the document for editing at the same time. 3. As you and others edit the same notebook, your changes sync automatically in near real- time. When someone makes an edit, their alias will show up next to the highlighted section they are editing. Life win 4. When you save and reopen the notebook, all edits will appear with the author’s alias next WORD SCRAMBLIN’ Your brain, like the rest of you, requires regular to it, allowing you to follow up with each exercise to stay healthy and fit. Snap your brain out author. You can even search content by who of its regular fitness routine by unscrambling these authored it. three words: PHEL FLUSEU YDPRTVOCYIUIT PRODUCTIVITY USEFUL HELP Answers © 2011 Microsoft Corporation. All rights reserved. Brought to you by: ® That’s Why SharePoint win I Use SharePoint ® Share and update content with a iusesharepoint.com Document Workspace A Document Workspace is a Microsoft® 3. Enter the information about the Document SharePoint® 2010 site created for document Workspace site that you want to create, such sharing. The site enables you to share files, update as the title and the last part of the Web site them and keep people informed about their address. -
Abstract Data Types
Chapter 2 Abstract Data Types The second idea at the core of computer science, along with algorithms, is data. In a modern computer, data consists fundamentally of binary bits, but meaningful data is organized into primitive data types such as integer, real, and boolean and into more complex data structures such as arrays and binary trees. These data types and data structures always come along with associated operations that can be done on the data. For example, the 32-bit int data type is defined both by the fact that a value of type int consists of 32 binary bits but also by the fact that two int values can be added, subtracted, multiplied, compared, and so on. An array is defined both by the fact that it is a sequence of data items of the same basic type, but also by the fact that it is possible to directly access each of the positions in the list based on its numerical index. So the idea of a data type includes a specification of the possible values of that type together with the operations that can be performed on those values. An algorithm is an abstract idea, and a program is an implementation of an algorithm. Similarly, it is useful to be able to work with the abstract idea behind a data type or data structure, without getting bogged down in the implementation details. The abstraction in this case is called an \abstract data type." An abstract data type specifies the values of the type, but not how those values are represented as collections of bits, and it specifies operations on those values in terms of their inputs, outputs, and effects rather than as particular algorithms or program code. -
(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. -
5. Data Types
IEEE FOR THE FUNCTIONAL VERIFICATION LANGUAGE e Std 1647-2011 5. Data types The e language has a number of predefined data types, including the integer and Boolean scalar types common to most programming languages. In addition, new scalar data types (enumerated types) that are appropriate for programming, modeling hardware, and interfacing with hardware simulators can be created. The e language also provides a powerful mechanism for defining OO hierarchical data structures (structs) and ordered collections of elements of the same type (lists). The following subclauses provide a basic explanation of e data types. 5.1 e data types Most e expressions have an explicit data type, as follows: — Scalar types — Scalar subtypes — Enumerated scalar types — Casting of enumerated types in comparisons — Struct types — Struct subtypes — Referencing fields in when constructs — List types — The set type — The string type — The real type — The external_pointer type — The “untyped” pseudo type Certain expressions, such as HDL objects, have no explicit data type. See 5.2 for information on how these expressions are handled. 5.1.1 Scalar types Scalar types in e are one of the following: numeric, Boolean, or enumerated. Table 17 shows the predefined numeric and Boolean types. Both signed and unsigned integers can be of any size and, thus, of any range. See 5.1.2 for information on how to specify the size and range of a scalar field or variable explicitly. See also Clause 4. 5.1.2 Scalar subtypes A scalar subtype can be named and created by using a scalar modifier to specify the range or bit width of a scalar type. -
Rdbmss Why Use an RDBMS
RDBMSs • Relational Database Management Systems • A way of saving and accessing data on persistent (disk) storage. 51 - RDBMS CSC309 1 Why Use an RDBMS • Data Safety – data is immune to program crashes • Concurrent Access – atomic updates via transactions • Fault Tolerance – replicated dbs for instant failover on machine/disk crashes • Data Integrity – aids to keep data meaningful •Scalability – can handle small/large quantities of data in a uniform manner •Reporting – easy to write SQL programs to generate arbitrary reports 51 - RDBMS CSC309 2 1 Relational Model • First published by E.F. Codd in 1970 • A relational database consists of a collection of tables • A table consists of rows and columns • each row represents a record • each column represents an attribute of the records contained in the table 51 - RDBMS CSC309 3 RDBMS Technology • Client/Server Databases – Oracle, Sybase, MySQL, SQLServer • Personal Databases – Access • Embedded Databases –Pointbase 51 - RDBMS CSC309 4 2 Client/Server Databases client client client processes tcp/ip connections Server disk i/o server process 51 - RDBMS CSC309 5 Inside the Client Process client API application code tcp/ip db library connection to server 51 - RDBMS CSC309 6 3 Pointbase client API application code Pointbase lib. local file system 51 - RDBMS CSC309 7 Microsoft Access Access app Microsoft JET SQL DLL local file system 51 - RDBMS CSC309 8 4 APIs to RDBMSs • All are very similar • A collection of routines designed to – produce and send to the db engine an SQL statement • an original -
Lecture 2: Variables and Primitive Data Types
Lecture 2: Variables and Primitive Data Types MIT-AITI Kenya 2005 1 In this lecture, you will learn… • What a variable is – Types of variables – Naming of variables – Variable assignment • What a primitive data type is • Other data types (ex. String) MIT-Africa Internet Technology Initiative 2 ©2005 What is a Variable? • In basic algebra, variables are symbols that can represent values in formulas. • For example the variable x in the formula f(x)=x2+2 can represent any number value. • Similarly, variables in computer program are symbols for arbitrary data. MIT-Africa Internet Technology Initiative 3 ©2005 A Variable Analogy • Think of variables as an empty box that you can put values in. • We can label the box with a name like “Box X” and re-use it many times. • Can perform tasks on the box without caring about what’s inside: – “Move Box X to Shelf A” – “Put item Z in box” – “Open Box X” – “Remove contents from Box X” MIT-Africa Internet Technology Initiative 4 ©2005 Variables Types in Java • Variables in Java have a type. • The type defines what kinds of values a variable is allowed to store. • Think of a variable’s type as the size or shape of the empty box. • The variable x in f(x)=x2+2 is implicitly a number. • If x is a symbol representing the word “Fish”, the formula doesn’t make sense. MIT-Africa Internet Technology Initiative 5 ©2005 Java Types • Integer Types: – int: Most numbers you’ll deal with. – long: Big integers; science, finance, computing. – short: Small integers. -
Microsoft Office
Microsoft Office MICROSOFT OFFICE INTRODUCTION Microsoft Office is an office suite of desktop applications, servers and services for the Microsoft Windows and OS X operating systems. It was first announced by Bill Gates of Microsoft on August 1, 1988 at COMDEX in Las Vegas. Initially a marketing term for a bundled set of applications, the first version of Office contained Microsoft Word, Microsoft Excel and Microsoft PowerPoint. Over the years, Office applications have grown substantially closer with shared features such as a common spell checker, OLEdata integration and Visual Basic for Applications scripting language. Microsoft also positions Office as a development platform for line-of-business software under the Office Business Applications brand. On 10 July 2012, Softpedia reported that Office is used by over a billion people worldwide. The current versions are Office 2013 for Windows, released on October 11, 2012; and Office 2011 for OS X, released October 26, 2010 On 24 October 2012, the RTM final code of Office 2013 Professional Plus was released to TechNet and MSDN subscribers for download. On 15 November 2012, the 60-day trial version of Office 2013 Professional Plus was released for download. All devices running Windows Phone and Windows RT come pre-installed with Office Mobile and Office RT, respectively. Office Mobile is also available for Android phones and the iPhone. A version of Office for the iPad was launched in March 2014. A web-based version of Office called Office Online, is also available COMPONENTS Word Microsoft Word is a word processor and was previously considered the main program in Office. -
Access Office Integration (AOI) - Leverage the Power of Microsoft Office
FINANCIAL MANAGEMENT SOLUTIONS 1 Access Office Integration (AOI) - leverage the power of Microsoft Office Do you manage large amounts of financial information in and out of Dimensions? Spending large amounts of time manually creating reports in Excel format to work with teams across your business? Do you have issues with Excel spreadsheets becoming immediately out of date with no real time link to Access Dimensions? Do you have bottlenecks due to large number of requests for data from your finance team? Seamlessly manage and reconcile your financial data with Access Office Integration Microsoft Office, and in particular Microsoft Excel, plays a dominant role in the compilation and analysis of financial information. Its popularity in the workplace means that most business processes rely on its functionality for everyday tasks such as budgeting, forecasting and financial modelling. By providing secure, two-way links between Microsoft Office and Access Dimensions, the AOI module empowers many more users around your business to access key accounts data without leaving the familiar Microsoft interface. Business-wide benefits Attach documents to records, view and approve invoices, search your entire database and much more. These are just some of the tasks users can carry out without needing any prior knowledge of, or access to, your Access system. This not only makes your standard tasks quicker and easier to carry out, but removes bottlenecks around your business by enabling non-system users to gain key decision-making information when they need it. Two-way integration with Excel Using AOI, information held within your solution can be downloaded to Excel, worked upon and uploaded again, with inbuilt rules to protect the integrity of auditable and VAT information. -
Csci 658-01: Software Language Engineering Python 3 Reflexive
CSci 658-01: Software Language Engineering Python 3 Reflexive Metaprogramming Chapter 3 H. Conrad Cunningham 4 May 2018 Contents 3 Decorators and Metaclasses 2 3.1 Basic Function-Level Debugging . .2 3.1.1 Motivating example . .2 3.1.2 Abstraction Principle, staying DRY . .3 3.1.3 Function decorators . .3 3.1.4 Constructing a debug decorator . .4 3.1.5 Using the debug decorator . .6 3.1.6 Case study review . .7 3.1.7 Variations . .7 3.1.7.1 Logging . .7 3.1.7.2 Optional disable . .8 3.2 Extended Function-Level Debugging . .8 3.2.1 Motivating example . .8 3.2.2 Decorators with arguments . .9 3.2.3 Prefix decorator . .9 3.2.4 Reformulated prefix decorator . 10 3.3 Class-Level Debugging . 12 3.3.1 Motivating example . 12 3.3.2 Class-level debugger . 12 3.3.3 Variation: Attribute access debugging . 14 3.4 Class Hierarchy Debugging . 16 3.4.1 Motivating example . 16 3.4.2 Review of objects and types . 17 3.4.3 Class definition process . 18 3.4.4 Changing the metaclass . 20 3.4.5 Debugging using a metaclass . 21 3.4.6 Why metaclasses? . 22 3.5 Chapter Summary . 23 1 3.6 Exercises . 23 3.7 Acknowledgements . 23 3.8 References . 24 3.9 Terms and Concepts . 24 Copyright (C) 2018, H. Conrad Cunningham Professor of Computer and Information Science University of Mississippi 211 Weir Hall P.O. Box 1848 University, MS 38677 (662) 915-5358 Note: This chapter adapts David Beazley’s debugly example presentation from his Python 3 Metaprogramming tutorial at PyCon’2013 [Beazley 2013a]. -
Multi Approval Process
The App for O365 MULTI APPROVAL PROCESS User – Administrator guides Version 2.0 https://ltaddins.com +84 946 579 539 [email protected] The App for O365 MENU Overview ...................................................................................................................................................... 4 User guides ................................................................................................................................................. 9 Submit a request .................................................................................................................................... 9 Approve/Reject a request ..................................................................................................................... 9 Cancel the request ............................................................................................................................... 10 View my request ................................................................................................................................... 11 View My tasks ....................................................................................................................................... 11 View all completed requests ............................................................................................................... 11 View all rejected requests ................................................................................................................... 12 View all approved requests ................................................................................................................ -
Building Solutions with the Microsoft Office Information Bridge Framework
Hands-On Lab Lab Manual Building Solutions with the Microsoft Office Information Bridge Framework Please do not remove this manual from the lab The lab manual will be available from CommNet Information in this document is subject to change without notice. The example companies, organizations, products, people, and events depicted herein are fictitious. No association with any real company, organization, product, person or event is intended or should be inferred. Complying with all applicable copyright laws is the responsibility of the user. Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation. Microsoft may have patents, patent applications, trademarked, copyrights, or other intellectual property rights covering subject matter in this document. Except as expressly provided in any written license agreement from Microsoft, the furnishing of this document does not give you any license to these patents, trademarks, copyrights, or other intellectual property. ©2005 Microsoft Corporation. All rights reserved. Microsoft, MS-DOS, MS, Windows, Windows NT, MSDN, Active Directory, BizTalk, SQL Server, SharePoint, Outlook, PowerPoint, FrontPage, Visual Basic, Visual C++, Visual J++, Visual InterDev, Visual SourceSafe, Visual C#, Visual J#, and Visual Studio are either registered