
Learn how to add user and system variables to the data flow, create derived columns with expressions, and merge with input columns using package name and start time.
Demonstrate calling a stored procedure with parameters in ssis, returning a multi-row result set. Consume the data with a for each loop and script task to format and display results.
Demonstrates creating dynamic SQL statements in SSIS using expressions and variables to build and execute queries that return random salesperson data.
Extract the file name and its part from a full path using SSIS variables and expressions, demonstrating replacing the name with blank and using the right function to isolate filename.
Import files as binary blobs into the table with a data flow task and import column transformation, using a directory variable and file name mapping.
Zip a folder using a script task to create a compressed file and unzip to an output folder, producing date-stamped vendor folders with the .net compression library.
Explore script task validation of a file’s header and trailer in SSIS for real-time scenarios, ensuring the header defines columns and the trailer confirms record counts before loading data.
Explore how to use foreach and for loop containers in SSIS to process collections and repeat tasks, with scenarios that iterate files and date ranges.
Learn to load a proprietary flat file into a database using SSIS raw file source and destination, with built-in data types and no parsing or transformation.
Scenario 1 demonstrates extracting numbers from alphanumeric values in a data column using a SSIS dataflow task, then loading the numeric results to the destination.
Explore a generic ETL workflow in SSIS: extract data from any source, apply data conversion, sort and deduplicate, then map and load into any destination.
Merge data from multiple sources, including database and flat file, using sort and merge join transformations and left outer joins, then load into the destination table.
Pivot the data into a metrics form by turning years 2019 and 2020 into columns, summing sales amount by salesperson, and loading the results into the destination table.
Welcome to this course Microsoft SSIS (SQL Server Integration Services) real-time scenarios implementation.
SCENARIOS WITH IMPLEMENTATION & DEMONSTRATION
In this course you will learn about the important concepts, features of SSIS; their use cases and how to tackle & handle the real-time or real-world business requirements and how we can implement these real-time scenarios in SSIS.
This course is for SSIS or ETL or SQL or Data Analyst or Data Engineers at any level (Beginner, Intermediate, Experienced) who uses or going to use the Microsoft SSIS (Microsoft SQL Server Integration Services) to work upon Data Integration/Migration or Data Warehousing projects and ETL (Extract-Transform-Load) projects.
You will learn concepts, tricks, tips about the useful and important tasks/transformations and the methods of using them intelligently and how to handle and implement real-time SSIS scenarios.
This course is designed after a great demand from the developers through various sources such as LinkedIn, blogs etc..
This course is the unique in terms of content to cover real-time scenarios in SSIS and the only course available and published first time to the great audience and learners, if that kind of course is available in the market then it would cost 3 or 4 times of the cost of this course. Behind the scene this course is taught to 50+ developers via in-person training by the instructor.
In this course we will cover around 40 scenarios and their implementations silently to the point in short videos without boring you.
This is not intended for any related Microsoft Exams, it is about learning and implementing in actual projects on job to retain your position in your current organization and survive as a SSIS/ETL Developer.
This course is divided into various modules and covers 35+ real-time scenarios, tips & tricks. The scenarios in this course are based on the following high level topics/features/concepts,
Modules [For details of scenarios in each topic see the course content]
• Module 1: Using Derived Column transformation
• Module 2: Executing SQL Stored Procedures
• Module 3: Implementing SSIS flexibility using Expressions
• Module 4: Using Import Column & Export Column transformations intelligently
• Module 5: Extending SSIS functionalities using Scripts (C# or VB dot Net)
• Module 6: Using SSIS FOREACH & FOR LOOP Containers
• Module 7: Loading delimited flat files (csv, tsv, psv) & SSIS Raw file into SQL database tables
• Module 8: Loading data, Incremental Load & SCD-2
• Module 9: Implementing Package restart ability using Check points + Using Execute Process Task
After finishing this course you will experience something energetic vibes and feel confident that you can implement any real-time scenario in SSIS,