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

Learn to design and build a powerful SQL data warehouse. Master data warehousing concepts and SQL implementation for efficient data analysis.

4.4(83)
420students
9h 14m
Certificate
Digital Learning Academy
Digital Learning AcademyPractical Skills for a Digital World.

Course Content

SQL/ETL/Data Warehouse Developer -(MS-SQL, SSIS, SSRS, SSAS) is a beginner-level Udemy course taught by Digital Learning Academy. It runs 9h 14m, is taught in English, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 83 reviews, with 420 students enrolled. It is a paid course, first published May 2022.

A data warehouse serves as the central hub for data analysis, powering artificial intelligence (AI) and machine learning (ML) initiatives. It consolidates data from diverse sources, including transactional databases, and is regularly updated to support timely, informed decision-making.

Microsoft SQL Server is a robust relational database management system (RDBMS) developed by Microsoft. As a powerful database server, it stores and retrieves data for various applications, whether running locally or across a network.

SQL Server Integration Services (SSIS) is a key component of Microsoft SQL Server, designed for comprehensive data migration tasks. It's a versatile platform for data integration and workflow applications, featuring a powerful data warehousing tool for data extraction, transformation, and loading (ETL).

SQL Server Reporting Services (SSRS) is a server-based reporting software system from Microsoft. Part of the broader Microsoft SQL Server suite (including SSAS and SSIS), it's accessible via a web interface and enables the creation and delivery of interactive and printed reports.

Microsoft SQL Server Analysis Services (SSAS) is an online analytical processing (OLAP) and data mining tool integrated within Microsoft SQL Server. Organizations leverage SSAS to analyze information from multiple databases, disparate tables, or files to gain valuable insights.

ETL is the essential process of extracting, transforming, and loading data from various sources into a data warehouse or a unified data repository. This process is crucial for preparing data for analysis and reporting.

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