MSBI Tutor

Step 1: Open Power BI desktop application Step 2: Click on Get data under home tab and select excel data source as shown in bellow Step 3: Select excel file from local system Click on check box as shown in bellow Step 4: Click on Load icon Step 5: All fields are appearing in fields section as shown in bellow Step 6: Click on three dots (...) and rename the sheet name Step 7: Drag and drop table from visualization tab to design panel Step 8: Select required fields from data set as shown in bellow

Step 1: Login app.powerbi.com Step 2: Follow bellow screenshots Click on create a workspace Step 3: Create workspace page looks like bellow Provide workspace name and upload image if applicable Step 4: New workspace showing in workspaces list as shown in bellow

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Here is the full list of April updates:   Reporting •    Power Automate for Power BI   •    Small multiples: padding controls and combo chart support   •    New and improved shapes •    Invert axis and continuous axis sorting   Modeling •    DirectQuery for Power BI datasets and Azure Analysis Services   •    CROSSFILTER supports many-to-many relationships •    Performance improvements to IF and SWITCH functions   Data connectivity •    New Connector: Bloomberg Data and Analytics •    New Connector: SoftOne BI •    Text/CSV By Example now generally available •    Automatic Table Detection from Excel files now generally available •    Automatic Table Detection from JSON files now generally available Service •    Easy report sharing via links •    Improving the Create on top of published dataset experience •    New capabilities in Deployment Pipelines •    Enhancements to Sensitivity Labels •    Sensitivity labels in Power BI embedded now generally available •    Securing the full data j

Step 1: Open teams and go to create new team page Step 2: Click on Join or Create a team Step 3: Click on create a team and select build a team from scratch Step 4: Select kind of team Step 5: Provide team name as shown in bellow Click on create Step 6: Add member if required Step 7: Click on 3 dots (...) and select connectors as shown in bellow Step 8: Select Incoming Webhook and configured as shown in bellow Setup incoming webhook name as shown and click on create Copy webhook url and put into mentioned python script Step 9: Python script import pymsteams import pandas as pd import numpy as np import pyodbc server = 'ServerName' database = 'msdb' username = 'LoginName' password = 'Password' cnxn = pyodbc.connect( 'DRIVER={ODBC Driver 17 for SQL Server};SERVER=' +server+ ';DATABASE=' +database+ ';UID=' +username+ ';PWD=' + password) cursor = cnxn.cursor() query = "select top 10 [name],[type_desc],create_date from msd

Description Power BI Summit is a multi-day event bringing speakers from the Microsoft Power BI team’s product group and community experts and MVPs from all around the world. This conference is run virtually, and you can attend from anywhere, all you need is an internet connection and a computer. All Power BI topics will be covered in this conference, from beginner to advance. We will have Power Query, DAX, Dataflow, Visualization, Power BI Desktop, Power BI report server, Mobile experience, Embedded, Power BI Premium, Architecture, governance. There will also be many discussion table talks. This conference would be an opportunity to learn and network online.   Fee : $98.00   Registration: power-bi-summit  

About this Event Designed to expand beyond the learner's basic knowledge of SQL to leverage the functionality of their Oracle database and develop custom Argos applications. The learner will create custom functions and tables on the database using inserts, deletes and updates. Attendees will work on guided exercises throughout the class to apply the concepts in both SQL Developer and Argos. (This is part 4 of a 4-part class.) Audience Employees with a good grounding in how to create basic SQL and are looking to expand their knowledge to optimize SQL and leverage Oracle functionality to create custom functions and tables. This class does not cover basics of SELECT, FROM, WHERE. Prerequisites Completed Argos Advanced – DataBlock Designer training (or have similar familiarity with the tool). Completed SQL Advanced Techniques (Parts 1, 2, & 3) training. Strong novice, with a good understanding of basic SELECT FROM WHERE statement and joins. Attendees will also need: • Strong intern

About this Event Designed to expand beyond the learner's basic knowledge of SQL to leverage the functionality of their Oracle database and develop custom Argos applications. The learner will create custom functions and tables on the database using inserts, deletes and updates. Attendees will work on guided exercises throughout the class to apply the concepts in both SQL Developer and Argos. (This is part 3 of a 4-part class.) Audience Employees with a good grounding in how to create basic SQL and are looking to expand their knowledge to optimize SQL and leverage Oracle functionality to create custom functions and tables. This class does not cover basics of SELECT, FROM, WHERE. Prerequisites Completed Argos Advanced – DataBlock Designer training (or have similar familiarity with the tool). Completed SQL Advanced Techniques (Part 1 & Part 2) training. Strong novice, with a good understanding of basic SELECT FROM WHERE statement and joins. Attendees will also need: • Strong intern

About this Event Designed to expand beyond the learner's basic knowledge of SQL to leverage the functionality of their Oracle database and develop custom Argos applications. The learner will create custom functions and tables on the database using inserts, deletes and updates. Attendees will work on guided exercises throughout the class to apply the concepts in both SQL Developer and Argos. (This is part 2 of a 4-part class.) Audience Employees with a good grounding in how to create basic SQL and are looking to expand their knowledge to optimize SQL and leverage Oracle functionality to create custom functions and tables. This class does not cover basics of SELECT, FROM, WHERE. Prerequisites Completed Argos Advanced – DataBlock Designer training (or have similar familiarity with the tool). Completed SQL Advanced Techniques (Part 1) training. Strong novice, with a good understanding of basic SELECT FROM WHERE statement and joins. Attendees will also need: • Strong internet connection

Details SQL Server & Azure SQL Virtual Symposium will focus on sessions related to SQL Server & Azure SQL Performance Troubleshooting & Query Optimization. A variety of topics will be covered focusing both on-prem (SQL Server) and the cloud (Azure SQL Family). Sessions will be delivered by Microsoft Product Group Team members and AI MVPs (Most Valuable Professionals)   Event Registration : sql-server-azure

Session Abstract: Many developers don’t pay attention to database performance when implementing new applications. The functionality of the application is important, but the efficiency of the SQL queries is often ignored. The DBA (or the query optimizer) does this job later. If necessary, we can still create some indexes, add hints or adjust some database parameters. And in the Cloud, the Oracle database does everything automatically and autonomously, anyway. Really? Unfortunately, the reality looks different. Many performance problems are caused by a poor software design, unsuitable data models, or inefficient SQL statements. Correcting such issues at the end of a project or when the system is already in operation is often very costly and cannot be fixed with just a few configuration parameters. With SQL live demos (all based on James Bond characters and movies), multiple-choice questions, and some funny stories that happened to me in my job as an Oracle consultant, I will explain why

Step 1: Go to Home tab Step 2: Click on get data and select text or CSV Step 3: Select text file from local Step 4: Click on Load to load data into data-set Step 5: Drag and drop table from visualization panel and select required fields from fields tab  

Step 1: Click on Help tab Step 2: Click on about and check version as shown in bellow

 Step 1: Click on file menu  Click on options and settings Step 2: Click on options tab Click on clear cache under data cache management and Q&A cache options

Step 1: Login in Power BI services Step 2: Click on Workspace Step 3: Click on create workspace Step 4: Provide workspace name and description if required  Click on save