Sql Server Analysis Services Succinctly
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| Author | : Stacia Misner |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 122 |
| Release | : 2017-02-05 |
| Genre | : |
| ISBN | : 9781542835572 |
The massive amount of data collected by businesses often creates a lot of work without doing much good. To make data work for them, businesses need solutions that summarize and organize it in ways that will influence the decisions they make each day. With SQL Server Analysis Services Succinctly by Stacia Misner, you will learn how to implement a business intelligence solution through SQL Server Analysis Services. You'll start with developing a database, and learn which architecture is most appropriate for the database's end use. You will then learn how to design practical dimensions and cubes, and how to store business logic within the cubes through MDX. Finally, you will learn how to deploy a working solution to the tool of your choice in Microsoft's business intelligence stack, including Excel, SQL Server Reporting Services, and SharePoint.
| Author | : Steven Hughes |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 475 |
| Release | : 2020-10-22 |
| Genre | : Computers |
| ISBN | : 180020163X |
Get up to speed with the new features added to Microsoft SQL Server 2019 Analysis Services and create models to support your business Key FeaturesExplore tips and tricks to design, develop, and optimize end-to-end data analytics solutions using Microsoft's technologiesLearn tabular modeling and multi-dimensional cube design development using real-world examplesImplement Analysis Services to help you make productive business decisionsBook Description SQL Server Analysis Services (SSAS) continues to be a leading enterprise-scale toolset, enabling customers to deliver data and analytics across large datasets with great performance. This book will help you understand MS SQL Server 2019’s new features and improvements, especially when it comes to SSAS. First, you’ll cover a quick overview of SQL Server 2019, learn how to choose the right analytical model to use, and understand their key differences. You’ll then explore how to create a multi-dimensional model with SSAS and expand on that model with MDX. Next, you’ll create and deploy a tabular model using Microsoft Visual Studio and Management Studio. You'll learn when and how to use both tabular and multi-dimensional model types, how to deploy and configure your servers to support them, and design principles that are relevant to each model. The book comes packed with tips and tricks to build measures, optimize your design, and interact with models using Excel and Power BI. All this will help you visualize data to gain useful insights and make better decisions. Finally, you’ll discover practices and tools for securing and maintaining your models once they are deployed. By the end of this MS SQL Server book, you’ll be able to choose the right model and build and deploy it to support the analytical needs of your business. What you will learnDetermine the best analytical model using SSASCover the core aspects involved in MDX, including writing your first queryImplement calculated tables and calculation groups (new in version 2019) in DAXCreate and deploy tabular and multi-dimensional models on SQL 2019Connect and create data visualizations using Excel and Power BIImplement row-level and other data security methods with tabular and multi-dimensional modelsExplore essential concepts and techniques to scale, manage, and optimize your SSAS solutionsWho this book is for This Microsoft SQL Server book is for BI professionals and data analysts who are looking for a practical guide to creating and maintaining tabular and multi-dimensional models using SQL Server 2019 Analysis Services. A basic working knowledge of BI solutions such as Power BI and database querying is required.
| Author | : Sander Rossel |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 96 |
| Release | : 2017-02-01 |
| Genre | : |
| ISBN | : 9781542809474 |
Developers of C# applications with a SQL Server database can learn to connect to a database using classic ADO.NET and look at different methods of developing databases using the Entity Framework. Sander Rossel will take readers through common pitfalls, why databases run slowly, how to troubleshoot performance issues, and how to test and deploy SQL Server databases. The first half of SQL Server for C# Developers Succinctly has a focus on C# and development while the second half focuses on troubleshooting using the SQL Server tools.
| Author | : Parikshit Savjani |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 174 |
| Release | : 2017-02-05 |
| Genre | : |
| ISBN | : 9781542835510 |
In BI Solutions Using SSAS Tabular Model Succinctly by Parikshit Savjani, delivering a business intelligence solution is broken down into simple steps to help you turn raw data into an interactive reporting dashboard. Savjani walks you through the layers of a BI solution, how to develop a tabular data model with SSAS, and how to prepare the data model for deployment before turning it into an interactive dashboard in Microsoft Power View. If you're just getting started with the Microsoft BI stack or looking for another analysis tool for your data, download the e-book today.
| Author | : Miloš Radivojević |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 684 |
| Release | : 2019-08-22 |
| Genre | : Computers |
| ISBN | : 1838987525 |
Leverage the power of SQL Server 2017 Integration Services to build data integration solutions with ease Key FeaturesWork with temporal tables to access information stored in a table at any timeGet familiar with the latest features in SQL Server 2017 Integration ServicesProgram and extend your packages to enhance their functionalityBook Description Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You’ll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you’ll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks. By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence. This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Miloš Radivojević, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. alWhat you will learnUse columnstore indexes to make storage and performance improvementsExtend database design solutions using temporal tablesExchange JSON data between applications and SQL ServerMigrate historical data to Microsoft Azure by using Stretch DatabaseDesign the architecture of a modern Extract, Transform, and Load (ETL) solutionImplement ETL solutions using Integration Services for both on-premise and Azure dataWho this book is for This Learning Path is for database developers and solution architects looking to develop ETL solutions with SSIS, and explore the new features in SSIS 2017. Advanced analysis practitioners, business intelligence developers, and database consultants dealing with performance tuning will also find this book useful. Basic understanding of database concepts and T-SQL is required to get the best out of this Learning Path.
| Author | : Adam Aspin |
| Publisher | : Apress |
| Total Pages | : 413 |
| Release | : 2015-03-02 |
| Genre | : Computers |
| ISBN | : 1484205324 |
Business Intelligence with SQL Server Reporting Services helps you deliver business intelligence with panache. Harness the power of the Reporting Services toolkit to combine charts, gauges, sparklines, indicators, and maps into compelling dashboards and scorecards. Create compelling visualizations that seize your audience’s attention and help business users identify and react swiftly to changing business conditions. Best of all, you'll do all these things by creating new value from software that is already installed and paid for – SQL Server and the included SQL Server Reporting Services. Businesses run on numbers, and good business intelligence systems make the critical numbers immediately and conveniently accessible. Business users want access to key performance indicators in the office, at the beach, and while riding the subway home after a day's work. Business Intelligence with SQL Server Reporting Services helps you meet these need for anywhere/anytime access by including chapters specifically showing how to deliver on modern devices such as smart phones and tablets. You'll learn to deliver the same information, with similar look-and-feel, across the entire range of devices used in business today. Key performance indicators give fast notification of business unit performance Polished dashboards deliver essential metrics and strategic comparisons Visually arresting output on multiple devices focuses attention
| Author | : Elaine Marmel |
| Publisher | : John Wiley & Sons |
| Total Pages | : 932 |
| Release | : 2011-06-15 |
| Genre | : Computers |
| ISBN | : 1118043944 |
Take control of your projects with this in-depth guide Whether you're managing a project for a small team or supervising a corporate assignment involving hundreds, the power of Microsoft Project 2007 and the detailed information in this comprehensive guide can keep you on track. From setting budgets to allocating resources to tracking results, each of the book's seven parts thoroughly focuses on key elements in a logical sequence so you can find what you need. Identify your goals and the scope of your projects Manage projects across organizations and multiple locations Get the most out of Gantt charts and views Assign tasks, check progress, and make adjustments Issue interim reports and look at the Big Picture Create a custom HTML page with VBA and VBScript Import and export Project information What's on the CD-ROM? You'll find a wealth of trial versions, demo software, sample projects, and bonus appendixes on the CD-ROM, including Milestones Professional(r) - Advanced formatting, calculation, Web publishing, and reporting features PERT Chart Expert - Create eye-opening PERT chart project plans PlanView(r) Project Portfolio Management - A comprehensive decision-making platform for enterprises WBS Chart Pro - Plan your projects with these graphing tools System Requirements: See the CD-ROM Appendix for details and complete system requirements. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
| Author | : Cindi Howson |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 258 |
| Release | : 2007-12-17 |
| Genre | : Computers |
| ISBN | : 0071596143 |
Praise for Successful Business Intelligence "If you want to be an analytical competitor, you've got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It's required reading for quantitatively oriented strategists and the technologists who support them." --Thomas H. Davenport, President's Distinguished Professor, Babson College and co-author, Competing on Analytics "When used strategically, business intelligence can help companies transform their organization to be more agile, more competitive, and more profitable. Successful Business Intelligence offers valuable guidance for companies looking to embark upon their first BI project as well as those hoping to maximize their current deployments." --John Schwarz, CEO, Business Objects "A thoughtful, clearly written, and carefully researched examination of all facets of business intelligence that your organization needs to know to run its business more intelligently and exploit information to its fullest extent." --Wayne Eckerson, Director, TDWI Research "Using real-world examples, Cindi Howson shows you how to use business intelligence to improve the performance, and the quality, of your company." --Bill Baker, Distinguished Engineer & GM, Business Intelligence Applications, Microsoft Corporation "This book outlines the key steps to make BI an integral part of your company's culture and demonstrates how your company can use BI as a competitive differentiator." --Robert VanHees, CFO, Corporate Express "Given the trend to expand the business analytics user base, organizations are faced with a number of challenges that affect the success rate of these projects. This insightful book provides practical advice on improving that success rate." --Dan Vesset, Vice President, Business Analytics Solution Research, IDC
| Author | : Rui Machado |
| Publisher | : |
| Total Pages | : |
| Release | : 2017-02-06 |
| Genre | : |
| ISBN | : 9781542827454 |
SQL Server Integration Services is part of Microsoft's business intelligence suite and an ETL (extract, transform, and load) tool. It does more than just move data between databases. It can be used to clean and transform data so that it can be used by data warehouses or even OLAP-based systems. With SSIS Succinctly by Rui Machado, you will learn how to build and deploy your own ETL solution in a drag-and-drop development environment by using SSIS packages, control flows, data flows, tasks, and more.
| Author | : Rami Krispin |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 438 |
| Release | : 2019-05-31 |
| Genre | : Computers |
| ISBN | : 1788624041 |
Build efficient forecasting models using traditional time series models and machine learning algorithms. Key FeaturesPerform time series analysis and forecasting using R packages such as Forecast and h2oDevelop models and find patterns to create visualizations using the TSstudio and plotly packagesMaster statistics and implement time-series methods using examples mentionedBook Description Time series analysis is the art of extracting meaningful insights from, and revealing patterns in, time series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series. This book explores the basics of time series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and clean and manipulate data with packages such as stats, lubridate, xts, and zoo. You will analyze data and extract meaningful information from it using both descriptive statistics and rich data visualization tools in R such as the TSstudio, plotly, and ggplot2 packages. The later section of the book delves into traditional forecasting models such as time series linear regression, exponential smoothing (Holt, Holt-Winter, and more) and Auto-Regressive Integrated Moving Average (ARIMA) models with the stats and forecast packages. You'll also cover advanced time series regression models with machine learning algorithms such as Random Forest and Gradient Boosting Machine using the h2o package. By the end of this book, you will have the skills needed to explore your data, identify patterns, and build a forecasting model using various traditional and machine learning methods. What you will learnVisualize time series data and derive better insightsExplore auto-correlation and master statistical techniquesUse time series analysis tools from the stats, TSstudio, and forecast packagesExplore and identify seasonal and correlation patternsWork with different time series formats in RExplore time series models such as ARIMA, Holt-Winters, and moreEvaluate high-performance forecasting solutionsWho this book is for Hands-On Time Series Analysis with R is ideal for data analysts, data scientists, and all R developers who are looking to perform time series analysis to predict outcomes effectively. A basic knowledge of statistics is required; some knowledge in R is expected, but not mandatory.
