SSIS Course
SSIS Training Course
Discover the future of tech with our SIIS Training Course. Gain expertise in cutting-edge technologies and accelerate your career today.
Instractor: Piyush Agrawal
SSIS Trainer
4.9 stars
- (2890 Ratings)
+12500
- Professionals trained
+30
- Countries Students
Our Data Analyst course will teach you to apply data analytics and business intelligence skills to develop insights and business strategies. This course will help you gain knowledge in accessing, manipulating, transforming, and analyzing complex data sets using SQL and familiar scripting languages; as well as learn how to design and build scalable data models, how to clean and transforming data, optimization techniques and how to enable advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations.
The Data Analysis course is designed on the basis of real-world data analyst job postings, to ensure we’re covering all the right skills you’ll be confronting at work.
This Data Analyst training is great for beginners and professionals alike, as it starts with the fundamentals and works through advanced topics. Completing this Data Analysis training will set you up for a successful and qualified, job-ready Data Analyst.
It is live instructor-led training & the Data Analyst course syllabus is curated by Industry experts having 10+ years of experience.
Data Analysis is among the most happening career options that requires zero coding skills. Explore this high-demand career. Get started now.
Who can take up this course Training?
- Individuals/graduates from commerce, science and engineering streams
- Professionals from BPO and KPO domains
- Freshers/Professionals from any stream/background with good analytical and logical skills
- Professionals who consider upskilling & transition into Data Analyst as a next logical move to their careers
- Professionals from Finance and Accounting background
- Software Developers
- Management professionals
- Project Managers
- Professionals from Non-IT sectors such as HR, banking, sales & marketing, etc
- Digital Marketing professionals
Key Highlights
- 20 Hrs of Instructor Led Training
- 20 Hrs of Lab Sessions
- 30 Hrs Real-time Project, Use cases & Exercises
- Certification Oriented Curriculum
- Job Assistance
- Flexible Schedule
- Mentor Support
- Price match Guarantee
SSIS Course Curriculum
- 100% Practical Sessions
- Basic ETL Entities in SSIS
- Data and Management Tools
- Data Flow Overview
- Data Sources
- Data Destinations
- Data Flow Transformations
- Data Viewers
- Excel Source
- Flat File Source
- OLE DB Source
- Aggregate Transformation
- Audit Transformation
- Character Map Transformation
- Conditional Split Transformation
- Copy Column Transformation
- Derived Column Transformation
- Data Conversion Transformation
- Multicast Transformation
- OLE DB Command Transformation
- Percentage Sampling Transformation
- Row Count Transformation
- Sort Transformation
- Union All Transformation
- Audit Transformation
- Character Map Transformation
- Copy Column Transformation
- Lookup Transformation
- Merge Transformation
- Merge Join Transformation
- Slowly Changing Dimension Transformation
- Pivot Transformation
- Export Transformation
- Import Transformation
- Unpivot Transformation
- Term Extraction Transformation
- Term Lookup Transformation
- Fuzzy Lookup Transformation
- Fuzzy Grouping Transformation
- Excel Destination
- Flat File Destination
- OLE DB Destination
- Control Flow Overview
- Precedence Constraints
- The Execute SQL Task
- The Bulk Insert Task
- The File System Task
- Data Flow Task
- Execute Package Task
- Execute Process Task
- Backup database Task
- Analysis Services Processing Task
- For Loop Container
- For Each Loop Container
- Sequence Container
- Variables Overview
- Variable scope
- Using variables in control flow
- Using variables in data flow
- Control Flow: The On Error event handler
- Data Flow: Error data flow
- Built-in log providers
- Configurations and deployment
- Deployment options
- The SSIS Service
- Managing packages with SQL Server Management Studio
- Scheduling packages with SQL Server Agent
Data Analyst Projects
Our Data Analyst certification course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach using industry use-cases and scenarios to help learners scale up their skills and perform real-time projects with the best practices. Throughout the Data Analysis course you will work on multiple projects to showcase your skills to employers.
This project was on human resources information system (HRIS). This project was designed to populate database tables with the excel sheet which we use to get every day. The excel sheet contained all the information of human resources of the company and they required a proper analysis of the resource salary band and how many are in which department and so on. They require regular reports based on the need and exact figure in the report so that they can make proper decisions by looking at it. In the excel sheet, all the columns were required to be distributed over the multiple tables with primary key and foreign key relationship. The project included:
- Regularly developed Power BI Report as per the HR Department demands
- Developed SSAS Tabular Model and Imported in Power BI in Live connection mode to keep data updated in Power BI
- Normalization done to reduce redundancy and populate data in the tables accordingly.
- Designed and developed SSIS Packages for regular ETL load.
- Generated multiple reports depending on required Similarity threshold using Fuzzy lookup.
- Deleted approx. matching records manually depending on the fuzzy lookup reports to avoid repetition.
- Developed complex stored procedure, cursors according to the need.
A taxi business was facing a problem as they were trying to increase their profit margin. The issue was related to lack of data analysis as they were trying to expand their business. They required regular reports in order to analyze data related to different prospects available. At the same time, they also wanted some solution that they can see that report at the time of meetings and through mobile and can access from anywhere.
We will be implementing:-
- Distance per Ride
- Total Revenue
- Revenue per Passenger
- Power Query
- Power BI Dashboard
- Data Getaway (Automatic Refresh)
- SSIS 100 % Practical Classes
- Basic ETL Entities in SSIS
- Data and Management Tools
- Data Flow Overview
- Data Sources
- Data Destinations
- Data Flow Transformations
- Data Viewers
- Excel Source
- Flat File Source
- OLE DB Source
- Aggregate Transformation
- Audit Transformation
- Character Map Transformation
- Conditional Split Transformation
- Copy Column Transformation
- Derived Column Transformation
- Data Conversion Transformation
- Multicast Transformation
- OLE DB Command Transformation
- Percentage Sampling Transformation
- Row Count Transformation
- Sort Transformation
- Union All Transformation
- Audit Transformation
- Character Map Transformation
- Copy Column Transformation
- Lookup Transformation
- Merge Transformation
- Merge Join Transformation
- Slowly Changing Dimension Transformation
- Pivot Transformation
- Export Transformation
- Import Transformation
- Unpivot Transformation
- Term Extraction Transformation
- Term Lookup Transformation
- Fuzzy Lookup Transformation
- Fuzzy Grouping Transformation
- Excel Destination
- Flat File Destination
- OLE DB Destination
- Control Flow Overview
- Precedence Constraints
- The Execute SQL Task
- The Bulk Insert Task
- The File System Task
- Data Flow Task
- Execute Package Task
- Execute Process Task
- Backup database Task
- Analysis Services Processing Task
- For Loop Container
- For Each Loop Container
- Sequence Container
- Variables Overview
- Variable scope
- Using variables in control flow
- Using variables in data flow
- Control Flow: The On Error event handler
- Data Flow: Error data flow
- Built-in log providers
- Configurations and deployment
- Deployment options
- The SSIS Service
- Managing packages with SQL Server Management Studio
- Scheduling packages with SQL Server Agent
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