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Using SQL Server Data Tools SSDT
 
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Demos showing how to use SSDT
Views: 109715 Lynn Langit
SQL & Data Analytics for Beginners: Introduction
 
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I hope you all enjoyed the video. If you'd like to learn more or got stuck, feel free to let me know in the comments below. Big Data: https://www.sciencedaily.com/releases/2013/05/130522085217.htm
Views: 73316 DataDash
Introduction to Data Mining in SQL Server Analysis Services
 
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Data mining is one of the key hidden gems inside of Analysis Services but has traditionally had a steep learning curve. In this session, you'll learn how to create a data mining model to predict who is the best customer for you and learn how to use other algorithms to spend your marketing model wisely. You'll also see how to use Time Series analysis for budget and forecast prediction. Finally, you'll learn how to integrate data mining into your application through SSIS or custom coding.
Views: 11414 PASStv
How to use SQL Server Data Tools in Visual Studio 2017
 
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Watch this session to learn how to use SQL Server Data Tools in Visual Studio 2017 to quickly develop a SQL Server database that runs anywhere and an Azure SQL database. Learn how to automate your application and database CI/CD pipeline by using Visual Studio Team Services. Product info: docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt Learn more: msdn.microsoft.com/library/hh272686(v=vs.103).aspx Documentation: msdn.microsoft.com/library/hh272686(v=vs.103).aspx PERMISSIONS: The original video was published microsoft visual studio & Microsoft Virtual Academy&chaneel9 YouTube channel with the Creative Commons Attribution license (reuse allowed)
Views: 45709 SPIDER WEB TECH TECH
SQL for Data Science
 
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Learn SQL for Data Science As I looked around at some open data science positions, I think about 99% of them required a working knowledge of SQL. So today I’d like to talk about why SQL plays such an important role in data science and discuss some of its uses. SQL or the Structured Query Language is the set of instructions used to interact with a relational database. Although it is not the only language out there, SQL is the only language that most databases understand. Whenever you interact with such a database, the software translates your commands into a SQL statement that the database knows how to interpret. Why is this important? Well the majority of data stored by organizations is within relational databases and SQL is the language you use to pull or query data from the databases. Role of SQL in Data Science The primary use of SQL is in the early phase of your data analysis; when get a data set and start to investigate the data, visualize it, identify missing values, incorrect formatting, etc. SQL allows you to play around with the data sets so you can perform these actions. SQL is just a tool in your data scientist tool box. Generally, if you work in a company that stores its data in SQL relational databases, you use SQL to fetch your data, so that you can model/describe/visualize it. But SQL is primarily a data fetching language. Older more established companies tend to have SQL databases storing all their stuff. If you are working with real data (meaning not clean and structured data that you normally get during courses or sample projects, you know that clean data is not the norm. usually, before you can begin your data analysis process, you need to go through a data munging or wrangling process – this means you need to get the data into a format that you can use for your analysis. It is said that data scientists spend about 80% of their time is spent doing just that! SQL is there to help with this process. Sample Code Fortunately for those of us who aren’t computer programmers yet or don’t plan to be, SQL commands are designed to have a syntax similar to the English language. They normally begin with a command statement describing the action to take, followed by a clause that describes the target of the command (this could be the specific table within a database affected by the command) and finally, a series of clauses that provide additional instructions. Most of the time, you can read an SQL statement and understand what the command is trying to do. Let’s practice with this statement DELETE FROM students WHERE graduation_year = 2014 Can you guess what this statement will do? It accesses the students table of the database and deletes all records for students who graduated in 2014. See? It wasn’t that difficult! What Can You Do with SQL? So, what can you do with SQL? Let’s talk about some of the potential uses… • Data Aggregations o Aggregation functions are very useful for understanding the data and presenting it in summary. The widely used aggregate functions are min, max, average, etc. • Ranking Functions o Ranking functions are useful to rank values in a data set and doing a Top-N analysis. For example, ranking functions can be used to rank customers within a segment. • Bucketing the Data o Sometimes, we need to bucket the data for producing better predictions or results. For example, we can bucket employees ages into five distinct groups to analyze their common traits across each age group. • Statistical Functions o Functions like distribution fitting can be directly applied on data by using SQL functions. • Windowing Functions o Windowing functions are very useful for any aggregate calculations that involve a range of values or a group of rows. For example, these functions come handy in case of operations over time series data which includes calculations over a fixed or variable window time period. Future of SQL • SQL is a necessary tool for a data scientist, so invest some time to learn how and when to use it!
Views: 4571 Story by Data
SSAS Star Schema to Cube in 14 Minutes
 
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Introduction to SQL Server Analysis Service using Visual Studio 2017 with AdventureWorks data warehouse. I will demonstrate how to deploy a cube and browse with SSDT browser and Excel. Prerequisites: SQL Server 2016, AdventureWorks DW 2016 (data warehouse), SQL Server Data Tools for Visual Studio 2017 (or SSDT 2017), Visual Studio 2017.
Views: 4742 Benjamin Yu
Predictive Analytics With Microsoft SQL Server R
 
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Microsoft SQL Server 2016 RC3 has embraced world most powerful analytical scripting language R. This demo we build a predictive model and learn to build, deploy it on the Microsoft SQL Server. We predict the salary of hire candidates of an organization with a basic linear regression model. The response variable is salary while the regressors being Age, Experience and Gender.
Views: 14218 Keshav Singh
Basic SQL Queries - Data Analysis and Tools (DAT) Msc. I.T Part-I
 
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In this video we will Look at the Basic SQL Queries used in DAT practical and how will learn to execute those Queries in Linux. Do Subscribe.
Views: 192 HashTech Coders
How To Download & Install SQL Server Data Tools For Visual Studio 2017 Updates
 
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SSDT 2017 For Visual Studio Download Link ( https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt ) Microsoft Business Intelligence Toold (SSIS,SSAS , SSRS Installation Guide) Microsoft Business Intelligence
Views: 23941 Hindi Life
SQL Tutorial: Reporting and Analysis for beginners
 
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Views: 2641 Database Tutorials
Tutoriel SQL : Prendre en main SQL Server Data Tools | video2brain.com
 
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Formation complète : http://bit.ly/1pbkY8d Procédez à l'ouverture et à la prise en main de l'interface de SQL Server Data Tools BI. Ce tutoriel est un extrait de la formation intitulée La création de cubes avec SQL Server Analysis Services 2014, réalisée par le formateur expert Rudi Bruchez chez video2brain.com.
SQL Server 2016 Part 9 - Installing SQL Server Data Tools (SSDT)
 
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If you found this video useful and you’d like to say thanks you can click this link to make a contribution https://www.wiseowl.co.uk/donate?t=1 Thanks for watching our videos! By Andrew Gould https://www.wiseowl.co.uk - This video explains how to install SQL Server Data Tools and the Business Intelligence Templates for Visual Studio 2015. This allows you to create projects for Reporting Services, Integration Services and Analysis Services. Visit www.wiseowl.co.uk for more online training resources in Microsoft Excel, SQL Server, Reporting Services, Analysis Services, Integration Services, ASP.NET, C#, Visual Basic, Microsoft Access, Microsoft PowerPoint, Microsoft Word, Microsoft Project, Microsoft Publisher, Microsoft Visio and more
Views: 18329 WiseOwlTutorials
Creating a Data Warehouse using SQL Server 2012 and SQL Server Data Tools
 
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Creating a Data Warehouse using SQL Server 2012 and SQL Server Data Tools
Views: 13227 Darsha Fonseka
SQL Server Data Tools in your DevOps pipeline
 
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In this episode Dmitry (https://www.twitter.com/LyalinDotCom) is joined by Eric Kang, Program Manager for SQL Server Data Tools (SSDT) who is back on the show to talk about how Visual Studio 2017, SSDT and SQL Server 2016/SQL Database (on Azure) can be used in both migration and state based database development approaches. We'll also show you how to make SQL development integrated into a Continuous Integration and Continuous Deployment (CI/CD) with Visual Studio Team Services (VSTS) as part of your DevOps pipeline. This episode is part two of our series on SSDT, so if you missed it be sure to check out our previous introductory episode SQL Server Data Tools for Visual Studio (https://channel9.msdn.com/Shows/Visual-Studio-Toolbox/SQL-Server-Data-Tools-for-Visual-Studio). Resources: - DevOps – Shift Left: Brian Harry's VS 2017 Launch Keynote at 1:30 mark (https://channel9.msdn.com/Events/Visual-Studio/Visual-Studio-2017-Launch/100) - All about SQL Server Data Tools (SSDT) features (https://channel9.msdn.com/Shows/Visual-Studio-Toolbox/SQL-Server-Data-Tools-for-Visual-Studio) - Getting Started with SSDT and SQL Server on Linux and Docker (https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-develop-use-ssdt) - Getting Started with Visual Studio Team Services (https://www.visualstudio.com/team-services/pricing/) - Database CI & CD Tutorial (https://blogs.msdn.microsoft.com/ssdt/2016/04/06/sqldb-cicd-intro/) - MAC & Linux Developers – mssql extension for VS Code (https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-develop-use-vscode)
Advanced Analytics with R and SQL
 
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R is the lingua franca of Analytics. SQL is the world’s most popular database language. What magic can you make happen by combining the power of R and SQL for Data Science and Advanced Analytics? Imagine the power of exploring, transforming, modeling, and scoring data at scale from the comfort of your favorite R environment. Now, imagine operationalizing the models you create directly in SQL Server, allowing your applications to use them from T-SQL, executed right where your data resides. Come learn how to build and deploy intelligent applications that combine the power of R, SQL Server, thousands of open source R extension packages, and high-performance implementations of the most popular machine learning algorithms at scale.
SSAS Tools
 
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Views: 307 Lynn Langit
Create & Publish a Data Cube for SQL Server Analysis Server
 
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This video shows how to use Business Intelligence Development Studio (BIDS) to create an data cube for SQL Server Analysis Server 2008 This demo shows how to: Use BIDS to create a data model project Create Data Sources, Data Views, Dimensions, & Cubes Deploy the project to SSAS 2008
Views: 154783 DeveloperVideos
SQL Server Spatial Tools Introduction
 
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Learn how to use SQL Server Spatial Tool to create and using maps. Watch other video tutorials, visit http://www.learn-with-video-tutorials.com
SSAS: Analyze Key Influencers Video Tutorial (Data Mining Table Analysis Tool)
 
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SQL Server Analysis Services (SSAS): Data Mining Table Analysis Tool Read through the video transcript: http://msdn.microsoft.com/en-us/library/dd299424.aspx
Views: 2514 sqlserver
Creating a Tabular model in SQL Server Data Tools
 
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Creating a Tabular model in SQL Server Data Tools
Views: 22441 Rob Kerr
What is OLAP?
 
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This video explores some of OLAP's history, and where this solution might be applicable. We also look at situations where OLAP might not be a fit. Additionally, we investigate an alternative/complement called a Relational Dimensional Model. To Talk with a Specialist go to: http://www.intricity.com/intricity101/ www.intricity.com
Views: 375767 Intricity101
SQL Server Data Tools (SSDT) for Visual Studio 2017 [Installation Steps]
 
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Hi All, In this video, you will learn how to install SQL Server Data Tools (SSDT) for Visual Studio 2017 Regards, Meganadha Reddy K.
Views: 16816 Meganadha Reddy
Creating Excel Reports with SQL Server or Analysis Server
 
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A simple overview of how people use Excel to get reports from SSAS
Views: 4317 Randal Root
Database Design Tutorial
 
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Database Design Tutorial utilizing Visio and Microsoft SQL Server Express 2014. This is an introduction to database design through the first three normal forms.
Views: 381786 GoSparker
Create Report in Seconds by Fetching Data from SQL Server using Excel VBA
 
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Create Report in Seconds by Fetching Data from SQL Server using Excel VBA If your manager needs the report very frequently then you need to do the same task again and again. Frankly speaking, I faced this kind of situation in my previous company and I prepared the report using VBA and handed over the file to my manager. Now, whenever he will click the button he will get the report of the LIVE DATA from SQL to Excel. You can read our blog to go through instructions as well as download working and code files, Click here: http://yodalearning.com/tutorials/export-data-from-sql-to-excel-spreadsheet-using-vba/ You can enroll in our Excel VBA course: http://courses.yodalearning.com/p/excel-vba-tutorials CHECK SOME OF THE FREE COURSES WE OFFER http://courses.yodalearning.com/p/free-office-2016-tips Keep yourself updated. Follow us now! http://www.facebook.com/yodalearning http://www.twitter.com/yodalearning
Views: 98236 Yoda Learning Official
SSAS: Getting Started with the Table Analysis Tools - Data Mining Add-Ins
 
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This video will help you get started with the Data Mining Table Analysis Tools add-in for Excel 2007 by showing you how to open the tools, use the sample Excel data, and connect to an Analysis Services server. See the Video Transcript: http://msdn.microsoft.com/en-us/library/dd299412.aspx
Views: 10255 sqlserver
SSAS: Detect Categories Video Tutorial (Data Mining Table Analysis Tool)
 
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SQL Server Analysis Services: Data Mining Table Analysis Tool Read the entire video transcript here: http://msdn.microsoft.com/en-us/library/dd299419.aspx
Views: 6145 sqlserver
Instalación de Microsoft SQL Server Data Tools - Business Intelligence for Visual Studio
 
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En este vídeo explico de forma simple y resumida la instalación de Microsoft SQL Server Data Tools - Business Intelligence for Visual Studio, y a la vez resuelvo algunos errores que a menudo suceden a la hora de instalar esta herramienta. Microsoft SQL Server Data Tools - Business Intelligence for Visual Studio Es una herramienta muy útil para transferir tablas de una base de datos a otra. Haga clic en el siguiente enlace para descargar el archivo: https://goo.gl/y20Q3L
Views: 19213 Kevinformático
Sumit Kumar - In database Machine Learning with Python in SQL Server
 
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Description SQL Server 2017 has built in AI capabilities that bring Python based intelligence to where the data lives. Abstract In this session, we will take a deeper look at the SQL Server Machine Learning Services with Python and its enterprise grade advantages. This enables you to use the latest innovations from the open source Python world on your data that is securely stored in SQL Server and provides additional scale, performance, operationalization and management capabilities. We will walk through a demo to build and deploy a Python based machine learning application in SQL Server to predict how long a patient is likely to stay in the hospital at the time of getting admitted to the hospital. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 6047 PyData
SSAS: Forecast Video Tutorial (Data Mining Table Analysis Tool)
 
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In this tutorial we will learn how to use the Forecast Table Analysis Tool for Excel 2007. See the video transcript: http://msdn.microsoft.com/en-us/library/dd299423.aspx
Views: 18751 sqlserver
Introduction to SQL Server Analysis Services (SSAS)
 
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Check Out Our SSAS Blog - http://blog.pragmaticworks.com/topic/ssas In this session, you’ll learn how to build a highly efficient analytical platform by using Analysis Services (SSAS). You’ll learn the how to create and configure a cube to pre-aggregate your data and then how to create hierarchies to make your users more effective. Lastly, you will learn about the major difference between Multidimensional and Tabular Analysis Services and how each play different roles.
Views: 4454 Pragmatic Works
SSAS Data Mining Overview
 
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Just an overview of SSAS Data Mining. Check out Microsoft's tutorial for more info: https://msdn.microsoft.com/en-us/library/ms167167(v=sql.120).aspx
Views: 2209 Randal Root
GenesisOne™ Unscrambler - Automated Code Documentation for SQL Server
 
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GenesisOne Unscrambler is the first in the industry to provide dataflow visualization for SQL Server. http://www.genesisonesolutions.com What we will show you on the user demo, is the unique code documentation capabilities, that automatically generates full legacy code documentation for large databases with complicated objects - you will also see how the Unscrambler is the ideal component to the highest quality metadata tools already available. 1. Dataflow Visualization for SQL Server 2. Partnered with IBM and Red Gate 3. GSA Contract Holder 4. Fortune 500 Companies 5. Automatic Source Code Documentation 6. Ideal Component for Metadata We have partnered up with top organization such as IBM, and are a current federal GSA Schedule Contract holder. The GenesisOne technology is also being used by fortune 500 companies. How will this help me? Facilitates inventory taking of information systems for CIO’s. Dramatically reduce time and cost necessary to document your databases. Eliminate continuous document updates and synchronization after database changes. Get new hires up to speed in less than half the time. Increase your customer satisfaction by providing comprehensive, professional looking database documentation. Fully standardize your SQL documentation with no effort. Meet your audit/SOX requirements easily by keeping up-to-date documentation. Product Overview GenesisOne™ provides software development tools for the professional software developer. With our ever-expanding suite of code analysis tools, both developers and management gain thorough insight and understanding of their code. Starting with SQL Server, our tool suite (COTS products) shows all data flow within the code. The GenesisOne™ T-SQL Source Code Unscrambler™ automatically scans all SQL Server objects and documents the code in detail, which has never been done before and is a breakthrough product for the software industry. The resulting documentation provides comprehensive graphical, tabular or verbal explanation of the structure and data flow of all scanned objects. This documentation can be printed to PDF, PNG or SVG as desired. - See more at: http://www.genesisonesolutions.com/#sthash.DeLGA9zw.dpuf Product Features GenesisOne™ T-SQL Code Unscrambler Automatically generates full legacy code documentation for large databases with complicated objects. "By being able to 'unwind' dozens of legacy processes, quickly presenting the entire 'picture', both graphically and verbally, the user can more quickly grasp the complexity of a problem domain, or in other words, getting the "big picture". And therefore save time and money that can better be invested in actually solving the pressing business problem. UnScrambler is a tool that solves the problem of understanding hidden complexity." GenesisOne™ SQL Server documentation (Microsoft SQL Server 2008/ 2008R2/ 2012) in PDF, PNG and SVG format; enables documenting all of the major SQL Server components. New documents can be regenerated at the touch of a button. UnScrambler saved me hours, and in some cases, even days of manually printing out and tracing code, in order to understand what some of the old legacy procedures were doing -BEFORE we could even start working on the new requirements. A Business Process owner can easily follow the UnScrambler Data Flow chart to help guide Developers when upgrading old procedures. The T-SQL Code UnScrambler makes it easy for a Project Manager to visualize the extent of testing that will be necessary after we make changes to legacy procedures. The Dependency Diagram clearly shows every table, view, procedure, function –and even trigger, that may be impacted by code changes. The UnScrambler Dependency Diagram makes it easy for me to get the ‘big picture’ of how all the parts fit together before I start digging into the actual code. I can click on any dependent object to quickly jump into its’ code. Ability to standardize code documentation with zero effort. The Unscrambler technology understands your security concerns and only uses selected permissions, so you can be assured no changes or havoc will effect your system. GenesisOne™ application download includes Microsoft SQL Server Analysis Objects, Microsoft SQL Server Management Objects, Microsoft SQL Server Native Client and SQL Server CLR Types. GenesisOne™ enables your ability to browse database structures. The structures shown depends on the database, the minimum level of detail includes Stored Procedures, tables, indexes and constraints as well as displaying information such as column names, column data types, column lengths, column null ability, and primary and foreign key information. Description editor for tables (table, columns, indexes, foreign keys), Stored Procedures (stored procedure, parameters), defaults, rules. Description data is saved using SQL Server extended properties. Please visit http://www.genesisonesolutions.com for more details.
MSPTDA 11: Power Query to Import from SQL Server Database in Excel or Power BI Desktop
 
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Download Excel START File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-ImportSQLIntoPowerQuery-Start.xlsx Download Excel FINISHED File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-ImportSQLIntoPowerQuery-Finished.xlsx Download Power BI Desktop FINISHED File: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MPSTDA-PowerBIDesktop-GetSQL-Data.pbix Download pdf Notes about Power Query: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-PowerQueryImportSQLData.pdf Practice Problems: Assigned Homework: Download homework file (Practice Problems) : https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-Homework-Start.xlsx Example of Finished Homework: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/PowerQuery/011-MSPTDA-Homework-Finished.xlsx link to Microsoft Notes on Direct Query: https://docs.microsoft.com/en-us/power-bi/desktop-use-directquery In this Video learn how to connect to an SQL Server Database and extract and transform data using Power Query in Excel and Power BI Desktop. Topics: 1. (00:16) Introduction 2. (00:32) What is an SQL Server Database 3. (02:19) The Goal of our Queries and a look at the end result reports in Excel 4. (03:04) Comparing and Contrast using 1) Using Power Query User Interface or 2) Writing SQL Code in Power Query 5. (04:46) Example 1: Use Power Query User Interface to connect to SQL Server and Extract, Transform and Load Data. 6. (11:27) Example 2: Write SQL Code to connect to SQL Server and Extract, Transform and Load Data. 7. (14:44) Example 3: Using Power BI Desktop to connect to SQL Server and Import multiple Tables. 8. (18:29) Summary Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor. The Power Query logo used in this video is copyright of and used with the express permission of https://powerquery.training Thanks to Ken Puls and Miguel Escobar for letting me use their logo!!!!
Views: 8761 ExcelIsFun
SQL Server Data Tools for Visual Studio
 
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In this episode, Dmitry is joined by Kevin Cunnane to give an overview of SQL Server Data Tools (SSDT) for Visual Studio, a fully integrated SQL Server development environment. In this video we'll demonstrate capabilities such as importing T-SQL into your solution, IntelliSense, table designers, data and schema compare capabilities, and much more. You can follow Dmitry on Twitter: https://www.twitter.com/lyalindotcom Resources: - Downloads: SQL Server Data Tools: https://msdn.microsoft.com/en-us/library/mt204009.aspx - HealthClinic.Biz Sample (GitHub): https://github.com/Microsoft/HealthClinic.biz
MSBI Tutorial for Beginners - SSAS Introduction
 
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In this video we discuss: 1. Introduction to SSAS 2. Tools Used 3. Installing AdventureWorks DW 4. Creating First OLAP Visit Our Complete Video Tutorials channel https://www.youtube.com/user/Deccansoft123 Visit below links for gain in-depth knowledge in MSBI: SSRS: http://www.bestdotnettraining.com/ssrs-online-training SSIS: http://www.bestdotnettraining.com/ssis-online-training SSAS: http://www.bestdotnettraining.com/ssas-online-training This Video Tutorial is thought by Microsoft Certified Trainer having 19 Years of IT Industrial Experience guided 100+ Corporate experts, about 50000 + students got prepared under his initiative. In this instructional exercise, ideas are taught with ongoing Examples in simple and justifiable strategies for absolute beginners to cutting-edge levels. Visit for More Video Tutorials provided by Microsoft Certified Trainer in MS.NET Technologies http://www.bestdotnettraining.com/videolibrary Follow Us: FaceBook: https://www.facebook.com/bestdotnetTraining Google+: https://plus.google.com/u/0/106673331317048429651/posts
Views: 71353 BestDotNetTraining
Get data from SQL Server into Google Data Studio with Analytics Canvas
 
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This short video shows how to get data from a Microsoft SQL Server database into Google Data Studio using Analytics Canvas. See all 6 ways to get data from MSSQL Server to Data Studio on our blog: https://analyticscanvas.com/6-ways-to-get-data-from-sql-server-into-google-data-studio/
Views: 810 Analytics Canvas
Skills Needed For Data Scientist and Data Analyst
 
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In this Video, We will be discussing about the skills needed for data analyst and data scientist roles. The reason for making one video to discuss both data analyst and data scientist roles is because there are a lot things in common between both these two role. Data Analyst does a lot of descriptive analytics. On the other hand, Data Scientist also does descriptive analytics. But also data scientists do something called predictive analytics. So let's try to understand what Descriptive and Predictive analytics mean. Descriptive Analytics is all about analyzing the historical data to answer this particular question which is "WHAT HAS HAPPENED TILL NOW??". Predictive Analytics also involves analysis of historical data but, predictive analytics is mainly all about answering the question which is.. "WHAT WILL HAPPEN IN THE FUTURE??" Let's understand this with a simple example. I have sales data of XYZ company in a table format. As part of descriptive analytics, we can simply create a scatter chart so that we can quickly understand how the company has been performing in terms of sales in the previous years. Now let's look at predictive analytics. So now that we know how the company has been performing in the previous years, can we predict what's gonna happen to the sales in the coming years?.. Will the sales increase, or decrease or does it remain the same??.. If we are able to answer these questions, then it is called as predictive analytics. So coming back to the comparison of Data Analyst and Data Scientist roles, Now that we have some idea about the differences between the two roles, lets now look at skills needed for each of these two roles. Data Analysts should be good with Math and Statistics. They should be good with handling the data. -- This includes knowledge of ETL (or Extract Transform and Load) operations on data and experience working with popular ETL tools such as Informatica – PowerCenter,IBM – Infosphere Information Server, alteryx, Microsoft – SQL Server Integrated Services (SSIS), Talend Open Studio, SAS – Data Integration Studio ,SAP – BusinessObjects Data Integrator, QlikView Expressor or any other popular ETL tool. -- They should be comfortable in handling data from different sources and in different formats such as text, csv, tsv, excel, json, rdbms and others popular formats. -- They should have excellent knowledge of SQL (or Structured Query Language). Its a Bonus to have -- The knowledge of Big data tools and technologies to handle large data sets. -- NoSQL databases such as HBase, Cassandra and MongoDB. They should be expert in Analysing and Visualizing the data. -- They Should have experience working with popular data analysis and visualization packages in python and R such as numpy, scipy, pandas, matplotlib, ggplot and others. -- Experience with popular data analysis and visualization BI tools such as Tableau, Microsoft Power BI, SAP BI, SAS BI, Oracle BI, QlikView or any other popular BI tool They should have good communication and storytelling skills. Lets now look at the skills needed for data scientist role. Data scientist also does descriptive analytics just like data analysts. Apart from that, they also do predictive analytics. So as part of Descriptive analytics: Data Scientists should be excellent with Math and Statistics. Data scientists should be good with handling data -- So yes, they should have experience working with popular ETL frameworks. -- They should have excellent knowledge of SQL. -- Many companies expect data scientists to have mandatory knowledge of big data tools and technologies to work with large datasets and also to work with structured, semi-structured and unstructured data. -- Its good to have the knowledge of NoSQL databases such as HBase, Cassandra and MongoDB. They should be expert in Analysing and Visualizing the data. -- Experience working with popular data analysis and visualization packages in python and R. -- Experience with popular data analysis and visualization BI tools such as Tableau, Microsoft Power BI, SAP BI, SAS BI, Oracle BI, QlikView or any other popular BI tool. They should also have excellent communication and storytelling skills. And as part of predictive analytics, They should be good in using the techniques in artificial intelligence, data mining, machine learning, and statistical modeling to make future predictions using the historical data. Exposure to popular predictive analytics tools such as SAP Predictive analytics, Minitab, SAS Predictive Analytics, Alteryx Analytics, IBM predictive analytics or any other popular predictive analytics tool. They should have very good exposure to popular machine learning and deep learning packages available for Python and R such as scikit learn, tensorflow, theano,rpart, caret, randomForest, nnet, and other popular libraries.
Views: 32924 Art of Engineer
Improve SQL Server performance using profiler and tuning advisor
 
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For more such videos visit http://www.questpond.com See our other Step by Step video series below :- Learn SQL Server Step by Step in 16 hours:- http://tinyurl.com/ja4zmwu Learn MSBI Step by Step in 32 hours:- https://goo.gl/TTpFZN Learn Angular tutorial for beginners https://tinyurl.com/ycd9j895 Learn MVC Core step by step :- http://tinyurl.com/y9jt3wkv Learn MVC 5 Step by Step in 16 hours:- https://goo.gl/dmdakg Learn Xamarin Mobile Programming Step by Step :- https://goo.gl/WDVFuy Learn Design Pattern Step by Step in 8 hours:- https://goo.gl/eJdn0m Learn C# Step by Step in 100 hours :- https://goo.gl/FNlqn3 Learn Data structures & algorithm in 8 hours :-https://tinyurl.com/ybx29c5s Learn Javascript in 2 hours :- http://tinyurl.com/zkljbdl Learn SharePoint Step by Step in 8 hours:- https://goo.gl/XQKHeP Learn TypeScript in 45 Minutes :- https://goo.gl/oRkawI Learn webpack in 50 minutes:- https://goo.gl/ab7VJi Learn Visual Studio code in 10 steps for beginners:- https://tinyurl.com/lwgv8r8 Learn Tableau step by step :- https://tinyurl.com/kh6ojyo This video first starts with a simple explanation of what is a SQL server profiler and performance tuning wizard. After completing the basic concepts it then demonstrates a simple example using two tables by capturing the work load and understanding the recommendations given by the tuning wizard. For more such videos visit http://www.questpond.com We are also distributing a 100 page Ebook "Sql Server Interview Questions". If you want this ebook please share this video in your facebook/twitter/linkedin account and email us on [email protected] with the shared link and we will email you the PDF.
SQL Server Performance Tuning Tools
 
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This video is part of LearnItFirst's Transact-SQL Programming: SQL Server 2008/R2 course. More information on this video and course is available here: http://www.learnitfirst.com/Course161 You'll start chapter 11 with an overview of the built-in tools you'll be working with, and some guidelines about the goals of monitoring. What is real-time monitoring? What is trend analysis? Why should you be concerned with premature optimization? Trainer Scott Whigham covers these basics in this video, and will expand on them with demonstrations in the coming videos. Highlights from this video: - Built-in tools used for performance tuning and optimization - Monitoring real-time stats and incoming SQL - Trend analysis - The goals of monitoring - What is premature optimization, and why should you be concerned about it? - What is a default trace? - SQL Server Profiler - The impact of the Heisenberg uncertainty principle - Database Engine Tuning Advisor (DETA) and much more...
Views: 30630 LearnItFirst.com
Predictive Analytics with R Server and SQL Server 2016
 
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R Services (In-database) provides a platform for developing and deploying intelligent applications that uncover new insights. You can use the rich and powerful R language and the many packages from the community to create models and generate predictions using your SQL Server data. Because R Services (In-database) integrates the R language with SQL Server, you can keep analytics close to the data and eliminate the costs and security risks associated with data movement. R Services (In-database) supports the open source R language with a comprehensive set of SQL Server tools and technologies that offer superior performance, security, reliability and manageability. You can deploy R solutions using convenient, familiar tools, and your production applications can call the R runtime and retrieve predictions and visuals using Transact-SQL. You also get the ScaleR libraries to improve the scale and performance of your R solutions.
Views: 569 CCelda CCelda
Introducing SQL Server Data Tool using Visual Studio 2015
 
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In this presentation, Peter Lu will share his experience working with SSDT and how it help them as various roles related to SQL/Server database design and administration. He will also discuss the history of DDTD dated back to Visual Studio 2005 and the support for Oracle database.
Views: 24495 Saturday Night SQL VG
Como realizar un KPI's en sql data tool desde cero
 
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En este video se muestra como realizar un KPI's sql sevrver 2014 para vusual, des cero.
What is SQL Server Analysis Services?
 
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This video is part of LearnItFirst's SQL Server 2008/R2 Analysis Services course. More information on this video and course is available here: http://www.learnitfirst.com/Course165 This quick video will go over what exactly Analysis Services is. You already know the basics of data warehousing, so now you will be able to understand the basics of Analysis Services. Highlights from this video: - Why didn't this video come earlier? - Data warehousing server - SSAS - Users' reporting needs and much more...
Views: 102331 LearnItFirst.com
Data Warehouse tutorial. Creating an ETL.
 
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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
Installing SQL Server Data Tools
 
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How to install SQL Server Data Tools 2017 for Symantec Endpoint Protection Manager (SEPM).
Views: 1099 Symantec Support
SSAS: Shopping Basket Analysis Tool - Data Mining Add-In
 
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SQL Server Analysis Services (SSAS): Table Analysis Tools Add-In for Microsoft Excel Video transcript here: http://msdn.microsoft.com/en-us/library/dd299410.aspx
Views: 6608 sqlserver
SQL server tutorial section 2: Creating the MaxMinSales Data Mart Using SQL Server Data Tools
 
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Creating an Analysis Services cube using the Cube Wizard in SQL Server Data Tools Creating a relational data mart from a cube definition in SQL Server Data Tools
Views: 521 Yuji Li
SQL Server 2014 Install SQL Server Data Tools
 
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SQL Server 2014 Install SQL Server Data Tool (SDT) or Business Intelligence Development Studio (BIDS). BIDS or SDT are a part of SQL Server Setup up to 2012. But in SQL Server 2014 Setup file not include BIDS or SDT. So we have to install it manually. This video is a Step By Step guide to install SDT or BIDS in your existing SQL server installation. Below is the Blog Post for SQL Server Data Tools Download Link. http://www.vlemonn.com/Blog/MSBI/Download-Link-for-SQL-Server-Data-Tools/
Views: 6653 Mayank Sanghvi

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