Master BI, SSIS, SSRS, SSAS & MDX - Zero to Hero (2024)
What you'll learn
- Data Integration Mastery: Master ETL tasks with SSIS for advanced data migration and workflow automation
- Dynamic SSIS Configurations: Learn dynamic package configurations, event handling, and inter-package communication
- Efficient Data Handling: Work with various data sources, transform, sort, merge, and join data effectively
- MSBI Project Proficiency: Design databases, create ETL solutions, cubes with SSAS, and reports with SSRS
- Reporting Skills: Develop dynamic reports using SSRS, learn matrix reporting, sorting, and expressions
- Analytical Depth with SSAS: Analyze data using SSAS, mastering MDX queries, KPIs, and calculated members
- Troubleshooting SSIS Packages: Gain skills in troubleshooting, debugging, and deploying SSIS solutions
- SQL Server Expertise: Enhance your T-SQL skills for effective data interaction, extraction, and analysis
- Multidimension expressions(MDX): Enhance your MDX skills for effective data interaction, extraction, and analysis
- Data Exploration & Reporting: Explore data sources, extract and load modified data, and generate insightful reports
Requirements
- No Prior SQL Server Experience Needed: Jump in without any previous knowledge of SQL Server. We'll guide you through installing the full Developer edition for free.
- Basic SQL Knowledge Beneficial: While not mandatory, a foundational understanding of SQL will enhance your learning experience.
- T-SQL Experience: Previous experience with T-SQL is helpful but not required for success in this course.
- Computer and OS Requirements: A Windows computer is necessary. Mac users can participate using dual-boot into Windows or Parallel Desktop with Windows
- Internet and Software: Ensure you have a reliable internet connection. The course includes guidance on downloading some free software
- No BI or MSBI Knowledge Required: Beginners to BI or MSBI are welcome; this course is designed to start from the basics.
Description
If mastering MSBI is your goal, you've arrived at the definitive tutorial, I Mean it.
Do you aspire to conquer MSBI and create a strong foundation in data integration, analysis, and reporting, this tutorial is for you. Engage in a detailed guideline that not only covers MSBI but will also transform you from a beginner to an accomplished professional in no time by this course. This module serves as a compass point for all those who wish to command the inside workings of MSBI, containing special sections about SQL Server Integration Services (SSIS), Analysis Services (SSAS), and Reporting Services (SSRS), to obtain a complete image of business intelligence.
Unlock the Power of MSBI: Let’s dive into the heart of this field of study and steer you through many real-world labs, which demonstrate the skills and knowledge you will need to be proficient with. Along the way the exercises explore how to add your touch; from setting an environment to building and deploying BI solutions, every aspect of preparation is addressed appropriately.
Master SSIS with Ease: Obtain skillfulness in ETL procedures through SSIS tools. Study to be able to carry out the process of problem-solving with data. Develop data integration processes based on expert advanced functionalities e.g. conditional splits, data transformation, and deploying of packages.
Advance with SSAS: Plumb the depths of SSAS in a detailed manner: Learn to build OLAP cubes that are multidimensional and see the inner workings of time series and the subtleties of hierarchical dimensions. Decipher the contingency of KPIs, aggregations, and data quality management, which is instrumental in building up data analytics models and the process of better decision-making.
Elevate Reporting with SSRS: From an SSRS novice to an expert SSRS guru who will enrich your reports by including dynamic and interactive components. This course covers all the basic knowledge of creating reports to go further to learn the report matrices and tabulation reports, all this advanced visualization includes the Bar charts, gauges, indicators, and much more.
Students will learn how to :
SSIS - SQL Server
· ETL-Dataflow-Introduction
· Conditional Split and Data Conversion
· Setting Pipeline Dynamic - Loops – Debugging
· Production Server Deployment Types
· Different Type of Joins, Sort and Merge
· Pivot Unpivot and Aggregate
· Schema Design and Database Relationship Diagram
· SCD Unicode and Lookup Concepts with Project
· Transactional Grouping and Checkpoints Logging
· Data Quality Check Using Profiling Component
· Instrumentation at Production Server – Debugging
· SQL Execute Task - Store Procedure Creation
· Data Quality Services and DQS Component
· CDC (Change Data Capture)- Enabling CDC - Bulk Load - Incremental Load
· Script Component-Data Transformation
· Buffer Size Optimization and Component Types
· Sequential and Parallel Processing (Multithreading)
· Pages Indexes and Reducing Page Splits for improved ETL Load
SSAS – SQL Server
· Setting Up Cube from Scratch
· Time Intelligence for SSAS and External BI tools Connection
· Key Performance Indicator Setup (KPIs) and Dimension Relationships
· Partitions and Storage Modes (MOLAP-ROLAP)
· Perspectives and Reginal Language Setting
· Measure Formula Types - Processing Cube in Production
· Aggregations in Cube
· Multidimension expressions (MDX) Query Language
· Tabular Cube Setup and Difference between Tabular and Multidimension
SSRS – SQL Server
· Introduction to Report Building and SSRS
· Drilldown Report Building
· Deploying Reports in Production
· Creating Simple Dashboard in SSRS
Who this course is for:
- Beginners to SSIS & DTS Developers: Ideal for novices wanting to learn SSIS or developers experienced in DTS/SSIS package development.
- SSIS Curious Learners: If you're curious about SSIS, its automation capabilities, and gaining visibility into data processes, this course is for you
- Certification Aspirants: Those aiming for certification will find this course beneficial towards their preparation
- MSBI Enthusiasts: Perfect for developers eager to dive into Microsoft SQL Server Business Intelligence, including SSIS, SSAS, and SSRS
- ETL and Data Warehousing Beginners: If you're starting your journey in ETL processes with SSIS, cube creation with SSAS, or reporting with SSRS, this course is tailored for you.
- Data Professionals at the Start: Beginner Data Analysts, Data Warehouse Engineers, Data Scientists, and Data Engineers will gain foundational skills and knowledge in data handling and analysis
- Emerging Data Engineers: Specifically designed for Data Engineers beginning their journey into the field of data engineering, providing essential skills and insights into data integration, management, and analytics
Instructor
- 4.2 Instructor Rating
- 25 Reviews
- 7,262 Students
- 1 Course
Build on a diverse and prestigious educational background, I have combined practical industry experience of over 10 years of experience with an impressive array of certifications. This unique blend of expertise offers students an unparalleled learning experience, bridging the gap between data science and engineering.
Instructor Highlights:
· Microsoft Certified Data Engineer & IBM Certified Data Scientist: Expertise in data engineering and science, providing students with the skills to harness data technologies and methodologies effectively.
· Masters in Supply Chain Management & Artificial Intelligence: Holding prestigious credentials in both Supply Chain Management and Artificial Intelligence, I provide deep insights into optimizing supply chains for efficiency, sustainability, and resilience, as well as leveraging AI for innovative solutions across various domains. These qualifications allow me to offer a comprehensive perspective on how advanced analytics and AI technologies can transform industries.
· Industrial Engineering & Six Sigma: A strong foundation in industrial engineering, enhanced by Six Sigma methodologies, equips me with the tools to drive process improvement and operational excellence through data driven decision making.
Instructor Philosophy:
Focused on delivering a comprehensive educational experience, I integrate theoretical knowledge with practical applications. Courses are designed to cater to both beginners and seasoned professionals, emphasizing the development of critical thinking and problem-solving skills in the context of data engineering and analytics.
As an instructor my approach goes beyond traditional teaching methods more focused on hand on practice, offering a holistic view of how data science and engineering principles can be applied to real-world challenges. Students are not only prepared for current industry demands but are also equipped to lead future innovations.