COURSE: Accelerated SQL Server 2016 Integration Services
UPCOMING DATES
Dic 27, 2018 – Stockholm-Kista Enroll here
Design, develop, deploy, and operate SQL Server Integration Services (SSIS) solutions.
In this course you will learn how to create and develop new SSIS projects and package and determine when to use project mode versus, how to apply SSIS to file and data managemen, to understand and apply ETL Concepts in SSIS including dimensions and fact table ETL and loading SSAS dimension and cubes and how to administer SSIS for server deployment and production execution.
COURSE DELIVERY OPTIONS
4-DAYS CLASSROOM
will take place in a classroom with no more than 20 students in order to maintain a good level of interactivity.
PRIVATE ONSITE
will take place in your company’s facilities. We limit attendance to no more than 20 students in order to maintain a good level of interactivity. Request quote here.
Course Benefits
What does this course cover?
Developed in-house by SolidQ, the Integration Services (SSIS) course focuses on developing and managing SSIS 2016 in the enterprise. In this course, you will understand how to design, develop, deploy, and operate SSIS solutions—this involves ETL solutions (extraction, transformation, and loading) from source systems extractions, data integration, SSIS server administration and package execution.
Expert Mentors
Our instructors have faced in previous real case projects, the same problems you are facing now. Learn from experience professionals.
Interaction and Q&A
In all of our trainings, you will have the chance to ask individual questions and be capable of solving certain issues.
Course Coverage
Create and develop new SSIS projects packages
Understand and apply ETL concepts in SSIS
Determine when to use projects mode versus
Loading SSAS dimensions and cubes
Apply SSIS to file and data management
Administer SSIS for sever deployment and production execution
”He has this rare ability to present a complex matter in a very simple and easy to understand way. Loved him!”
COURSE OUTLINE
SECTION A: DW and SSIS Overview and SSIS Core Features
Module 01: SSIS Overview and Core Features
- Introduction to Business Intelligence
- Microsoft tools for BI
- Introduction to data integration
- SSIS features overview
Lab 01: SSIS Overview and Core Features
Module 02: Data Warehousing
- Dimensional modeling
- Optimizing a dimensional database
- Data preparation for advanced analytics
Lab 02: Preparing a DW
Module 03: SSIS Control Flow Objects and Features
- What is Control Flow
- Control Flow Concepts
- Control Flow Objects
- Control Flow Features
Lab 03: Using the Control Flow to Orchestrate SSIS Execution
Module 04: Extracting, Transforming and Loading data using SSIS Data Flows
- The SSIS Data Flow Task
- Data Flows and Data Paths
- Data Connections and Connection Managers
- Data Flow Components
Lab 04: Using Data Flows to Perform Data Movements in SSIS
SECTION B: Applying SSIS to Common Operations
Module 05: Working with Files, Importing and Exporting File Data
- Using SSIS to Automate File System Maintenance
- Extracting Data from Files
- Loading Data into Files
- Excel Considerations
Lab 05: Working with Files in SSIS
Module 06: Optimizing Data Extraction and Data Loading
- Data Extraction Optimization Essentials
- Determining the „Delta“
- Change Tracking
- Change Data Capture
- Data Loading Optimization Essentials
Lab 06: Using Change Data Capture in SSIS Data Flows
Module 07: Data Quality and Cleasing
- Data quality
- Data profiling
- Data Quality Services
- Fuzzy matching
Lab 07: Data Profiling and Cleansing
Module 08: Advanced Enterprise Information Management
- Script task and Script Component
- Text mining
- Advanced Analysis and SSIS
Lab 08: Validating Data against Regular Expressions
SECTION C: Applying SSIS in BI and Data Warehouse Solutions
Module 09: Dimension ETL with SSIS
- Dimension ETL Theory
- SQL Server Temporal Tables
- SSIS Slowly Changing Dimension Wizard
- Custom Dimension ETL
Lab 09: Dimension ETL with SSIS
Module 10: Fact ETL with SSIS
- Fact Table ETL Theory
- Data preparation for fact tables
- Advanced concepts
Lab 10: Fact ETL with SSIS
Module 11: Project Deployment Model: Execution and Reporting
- Power Pivot
- Power Query
Lab 11: Power Query
Module 12: Processing SSAS Objects in SSIS
- SSAS tabular and multidimensional
- Processing methods in SSIS
- Dynamic processing and partition creation
Lab 12: Analysis Services Processing
SECTION D: Deployment
Module 13: Project Deployment
- Project Deployment Model
- Deployment to the SSISDB Catalog
- Administration, Security, Configuration
- Execution
- Monitoring
- The Master Package Concept
Lab 13: SSIS Project Deployment, Configuration, Execution, and Monitoring
Module 14: Package Deployment
- Package Deployment Model
- Deployment to the SSIS package store
- Administration, Configuration, and Security
- Execution
- Monitoring and Logging
Lab 14: SSIS Package Deployment, Configuration, Execution, and Monitoring
SECTION F: SSIS Solution and Performance Considerations
Module 15: Transactions and Restartability
- Using Breakpoints in SSDT
- Implementing Transactions in SSIS
- Using SQL Server Database Snapshots
- Restartability of SSIS Packages
- Responding to Events
Lab 15: Using Transactions and Checkpoints in SSIS Packages
Module 16: Optimization and Scalability
- Leveraging SSIS and Transact-SQL
- Data Flow Engine Internals
- SSIS Optimization Techniques
- SSIS Performance Troubleshooting
Lab 16: Optimizing SSIS Packages for Performance
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