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SQL/ETL/Data Warehouse Developer -(MS-SQL, SSIS, SSRS, SSAS)

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Digital Learning Academy

9:14:18

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  • 1. Introduction.mp4
    00:20
  • 2. What is a data warehouse.mp4
    03:06
  • 3. Databases vs Data warehouse.mp4
    03:15
  • 4. What is SQL Server.mp4
    02:57
  • 5. SQL Server Editions.mp4
    04:45
  • 6. SQL Server Installation Requirements.mp4
    04:21
  • 7. Download SQL Server.mp4
    04:31
  • 8. Install SQL Server.mp4
    09:43
  • 9. Install SSMS.mp4
    05:48
  • 10. Connect SSMS to SQL Server.mp4
    07:46
  • 11. Install sample database.mp4
    06:28
  • 12. Install sample data warehouse database.mp4
    05:49
  • 13. Enable SQL Server Agent.mp4
    02:33
  • 14. Enable Database settings for data warehouse.mp4
    06:38
  • 1. What is Visual Studio.mp4
    04:32
  • 2. Installing Visual Studio.mp4
    08:15
  • 3. Installing SQL Server Data Tools (SSDT).mp4
    04:09
  • 4. Install SSDT BI Templates.mp4
    06:21
  • 1. Hardware Requirements for data warehouse.mp4
    10:42
  • 2. Using FTDW Sizing Tool.mp4
    03:56
  • 3. Logical design.mp4
    04:14
  • 4. Physical design Part 1.mp4
    09:55
  • 5. Physical design Part 2.mp4
    11:42
  • 6. Designing Dimension Tables.mp4
    10:14
  • 1. What is ETL.mp4
    02:27
  • 2. What is SSIS.mp4
    03:24
  • 3. introduction to ETL & SSIS.mp4
    02:41
  • 4. Creating a new SSIS Project.mp4
    01:41
  • 5. Exploring data source Part 1.mp4
    08:41
  • 6.1 DataProfile.txt
  • 6. Exploring data source Part 2.mp4
    04:36
  • 7. Introduction to control flow Part 1.mp4
    09:55
  • 8. Introduction to control flow Part 2.mp4
    08:21
  • 9.1 ResellerSales.zip
  • 9.2 Truncate.txt
  • 9. Implementing data flow Part 1.mp4
    09:44
  • 10. Implementing data flow Part 2.mp4
    09:32
  • 1. Debugging SSIS Package Part 1.mp4
    07:20
  • 2. Debugging SSIS Package Part 2.mp4
    06:53
  • 3. Logging SSIS Package events.mp4
    10:18
  • 4.1 ResellerSalesErr.txt
  • 4. Handling errors in SSIS Package.mp4
    08:00
  • 1. Introduction.mp4
    05:36
  • 2. Extracting modified data Part 1.mp4
    04:53
  • 3. Extracting modified data Part 2.mp4
    07:47
  • 4. Extracting modified data Part 3.mp4
    05:28
  • 5. Extracting modified data Part 4.mp4
    07:19
  • 6. Loading modified data Part 1.mp4
    07:31
  • 7. Loading modified data Part 2.mp4
    07:25
  • 8. Working with slowly changing dimensions.mp4
    07:38
  • 1. Integration services catalogs.mp4
    08:19
  • 2. Deploying SSIS Solutions.mp4
    11:52
  • 3. Executing a package with SQL Server.mp4
    10:58
  • 4. Configuring advanced SSIS Settings.mp4
    05:19
  • 1. Installing Data Quality Services.mp4
    12:05
  • 2.1 Regions.csv
  • 2. Cleansing data with data quality services.mp4
    11:27
  • 3.1 Customers.csv
  • 3. Finding duplicate data with data quality services Part 1.mp4
    11:11
  • 4. Finding duplicate data with data quality services Part 2.mp4
    09:07
  • 5. Using data quality services in SSIS Data Flow.mp4
    09:34
  • 1. What is SSRS.mp4
    00:30
  • 2. Create a report server project.mp4
    02:05
  • 3. Create a report definition file.mp4
    01:56
  • 4. Configure a data source for the report.mp4
    02:32
  • 5.1 SQL+Script.txt
  • 5. Define a dataset for report.mp4
    04:51
  • 6. Add a table to report.mp4
    03:33
  • 7. Format report.mp4
    04:43
  • 8. Grouping data in report.mp4
    03:50
  • 9. Adding totals to the report.mp4
    04:38
  • 10. Previewing report.mp4
    00:54
  • 11. Exporting report.mp4
    00:49
  • 1. What is SSAS.mp4
    00:25
  • 2. Installing SSAS.mp4
    08:07
  • 3. Connecting to SSAS.mp4
    01:27
  • 4. Create a tabular model project.mp4
    02:30
  • 5. Explore tabular model authoring.mp4
    04:16
  • 6. Create a connection to data source.mp4
    02:42
  • 7. Transform & import data.mp4
    07:10
  • 8. Mark as data table.mp4
    01:34
  • 9. Create table relationships.mp4
    06:26
  • 10.1 DAX+Formulas.txt
  • 10. Create calculated columns Part 1.mp4
    07:55
  • 11. Create calculated columns Part 2.mp4
    03:24
  • 12.1 Creating+measures++Part+1.txt
  • 12. Creating measures Part 1.mp4
    05:47
  • 13.1 create+additional+measures+in+the+FactInternetSales+table.xlsx
  • 13. Creating measures Part 2.mp4
    03:44
  • 14.1 CUSTOM+MEASURES.xlsx
  • 14. Creating measures Part 3.mp4
    03:13
  • 15. Create Key Performance Indicators.mp4
    05:00
  • 16. Create Perspectives.mp4
    02:07
  • 17. Create Hierarchies Part 1.mp4
    03:19
  • 18. Create Hierarchies Part 2.mp4
    05:31
  • 19. What are partitions.mp4
    01:51
  • 20. Creating Partitions.mp4
    10:10
  • 21. Creating roles.mp4
    07:06
  • 22. Analyze in Excel.mp4
    03:35
  • 23. Deploy your model.mp4
    03:11
  • 24. Analyze Model.mp4
    06:46
  • 1. Introduction to Business Intelligence.mp4
    04:15
  • 2. Create a report with SSRS.mp4
    01:56
  • 3. Using Reporting services with Data Warehouse Part 1.mp4
    08:12
  • 4. Using Reporting services with Data Warehouse Part 2.mp4
    07:00
  • 5. Creating new SSAS Project.mp4
    01:36
  • 6. Data Analysis with SSAS Part 1.mp4
    09:27
  • 7. Data Analysis with SSAS Part 2.mp4
    05:13
  • Description


    Design and implement an SQL data warehouse

    What You'll Learn?


    • Install SQL Server
    • Design Logical Data Warehouse
    • Design Physical Data Warehouse
    • Design Dimension Tables
    • Enable Database for Data Warehouse
    • Implement ETL & SSIS Solution
    • Debug SSIS Package
    • Deploy & Configure SSIS
    • Create Tabular Data Model with SSAS
    • Create reports with SSRS
    • Enforce Data Quality
    • Consume Data in a Data Warehouse

    Who is this for?


  • Beginner Data Warehouse Developers
  • Beginner SQL Developers
  • Beginner ETL Developers
  • What You Need to Know?


  • Basic knowledge of database concepts advised.
  • More details


    Description

    A data warehouse is the central repository of information for data analysis, artificial intelligence, and machine learning. Data flows from different data sources like transactional databases. The data is also updated regularly to make informed decisions on time.

    Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network .

    SQL Server Integration Services is a component of the Microsoft SQL Server database software that can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a data warehousing tool used for data extraction, transformation, and loading.

    SQL Server Reporting Services is a server-based report generating software system from Microsoft. It is part of a suite of Microsoft SQL Server services, including SSAS and SSIS. Administered via a Web interface, it can be used to prepare and deliver a variety of interactive and printed reports.

    Microsoft SQL Server Analysis Services is an online analytical processing and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files.

    ETL is a process that extracts, transforms, and loads data from multiple sources to a data warehouse or other unified data repository.

    Who this course is for:

    • Beginner Data Warehouse Developers
    • Beginner SQL Developers
    • Beginner ETL Developers

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    Digital Learning Academy
    Digital Learning Academy
    Instructor's Courses
    Digital learning academy  produces bespoke elearning which helps you to effectively gain useful and marketable skills and knowledge . We work closely with you to map out exactly what you want to bring about and discover what you want to learn and achieve.  We can help you learn something completely new? Working together, we can help you acquire some useful digital skills online. Our instructors are industry experts and have years of experience to deliver the training and skills you need.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 97
    • duration 9:14:18
    • English subtitles has
    • Release Date 2024/02/14