Master BI, SSIS, SSRS, SSAS & MDX - Zero to Hero (2024)

Mastering Data Engineering: From SSIS Foundations to Advanced MSBI Techniques

Ratings 4.58 / 5.00
Master BI, SSIS, SSRS, SSAS & MDX - Zero to Hero (2024)

What You Will 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

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 Should Attend!

  • 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

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Subscribers

2030

Lectures

122

TAKE THIS COURSE