Tableau file types
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The document discusses different file types used in Tableau for saving data analysis results. It describes .twb (Tableau workbook), .twbx (packaged workbook), .tds (data source), .tdsx (packaged data source), .tde (data extract), .tbm (bookmark), and .tps (preferences) file types used to save and distribute Tableau work. These files store things like workbook details, data connections, extracted data, and user preferences in XML format for sharing Tableau analyses.
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The document discusses the database design for an online examination application developed using SAP ABAP. It describes three main types of database tables used: transparent tables that store data directly with a one-to-one mapping to database tables; pooled tables that store small amounts of control data combined into a single database table to reduce resources; and cluster tables that store data from a few large related tables combined into a single database table. It then notes the online exam application database uses three main tables to store candidate registration details, exam/question details, and results, in addition to system-generated tables.
introduction-stata.pptx
The document provides an introduction to using Stata for data analysis. It discusses navigating the Stata interface, importing different types of data files, exploring and managing data, and performing basic statistical analysis. Key features of Stata mentioned include its ease of use, powerful statistical analysis and data management tools, and consistent command syntax. The document also provides examples of commands for viewing, selecting, and summarizing data in Stata.
Dbms
1. The document discusses how data is organized in a database system using a hierarchy from the bit level up to files, records, fields, and databases.
2. It describes some problems with traditional file-based data storage like redundancy, inconsistency, and lack of flexibility. A database addresses these issues through centralization of data.
3. The key components of a database system are described as people, hardware, software, and data. The database management system (DBMS) acts as an interface between users, applications, and the stored data.
database concepts.pptx
A database is a collection of organized data that can be easily accessed, managed, and updated. Data is organized into tables with rows and columns for efficient searching and retrieval. A database management system (DBMS) is software that stores, maintains, and utilizes the database. Databases reduce data redundancy, improve accuracy through validation rules, facilitate easy data updating and sharing, and ensure security and integrity. The relational data model organizes data into relations or tables with rows representing records and columns representing attributes.
6967176.ppt
This document provides an overview and summary of the key features of the statistical software package SPSS (Statistical Package for the Social Sciences). It describes how SPSS can be used to perform statistical analysis and data management. The summary includes descriptions of the data editor, viewer, pivot tables, database access, transformations, and other core features. Procedures in SPSS can be accomplished through dialog boxes and menus using point and click functionality.
Research design
This document discusses database design and management. It defines a database as a systematically organized collection of indexed information that allows for easy retrieval, updating, analysis and output of data. It also defines a database management system (DBMS) as a collection of programs that provide database control and access to data through a query language. The document then outlines the main phases of database design: requirements collection and analysis, database design, and application design. It provides steps for determining the database purpose, organizing information into tables, defining primary keys and relationships between tables, and refining the design through normalization.
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The document discusses data dictionaries and their use in software engineering. It provides information on:
1) Data dictionaries record metadata about a system's data requirements and resources. They link different techniques and components together and provide a bridge between analysis and design.
2) Key components of a data dictionary include data elements, data structures, data stores, data flows, and processes. Templates are used to define the attributes of each component.
3) Backus-Naur form can be used to precisely define the syntax of data elements and structures. Examples of BNF definitions are provided.
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Tableau file types
- 1. Swipe Tableau - File Types Tableau
- 2. The result of data analysis in Tableau can be saved in various formats, to be saved and distributed. The various formats are referred as different file types and they are identified by different extensions. Their formats depend on how they are produced and for what purposes they are used. They are all stored as XML files, which can be opened and edited. Tableau - File Types
- 3. Lists the description of each file type Tableau Workbook twb Tableau Packaged Workbook .twbx Tableau Data Source .tds Tableau Packaged Data source .tdsx Tableau Data Extract .tde Tableau Bookmark tbm Tableau Preferences .tps
- 4. It contains information on each sheet and dashboard that is present in a workbook. It has the details of the fields, which are used in each view and the formula applied to the aggregation of the measures. It also has the formatting and styles applied. It contains the data source connection information and any metadata information created for that connection. Tableau Workbook
- 5. This file format contains the details of a workbook as well as the local data that is used in the analysis. Its purpose is to share with other Tableau desktop or Tableau reader users, assuming it does not need data from the server. Tableau Packaged Workbook
- 6. The details of the connection used to create the tableau report are stored in this file. In the connection details, it stores the source type (excel/relational/sap, etc.) as well as the data types of the columns. Tableau Data Source
- 7. This file is similar to the .tds file with the addition of data along with the connection details. .tdsx Tableau Packaged Data source
- 8. This file contains the data used in a .twb file in a highly compressed columnar data format. This helps in storage optimization. It also saves the aggregated calculations that are applied in the analysis. This file should be refreshed to get the updated data from the source. Tableau Data Extract
- 9. These files contain a single worksheet that is shared easily to be pasted into other workbooks. .tps Tableau Bookmark
- 10. This file stores the color preference used across all the workbooks. It is mainly used for consistent look and feel across the users. Tableau Preferences
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