Course Outline:
- Module 1, “Introduction to Data Warehousing"
- Module 2, “Planning Data Warehouse Infrastructure"
- Module 3, “Designing and Implementing a Data Warehouse "
- Module 4, “Column store Indexes"
- Module 5, “Implementing an Azure SQL Data Warehouse"
- Module 6, “Creating an ETL Solution"
- Module 7, “Implementing Control Flow in an SSIS Package"
- Module 8, “Debugging and Troubleshooting SSIS Packages"
- Module 9, “Implementing a Data Extraction Solution"
- Module 10, “Enforcing Data Quality"
- Module 11, “Master Data Services"
- Module 12, “Extending SQL Server Integration Services"
- Module 13, “Deploying and Configuring SSIS Packages"
- Module 14, “Consuming Data in a Data Warehouse"

- Giáo viên: Thang Le Toan
Data governance technologies are evolving fast to meet the increasing demand of digital businesses today. This has forced organizations to adopt an all-inclusive data intelligence platform that integrate data governance, data quality and analytics capabilities for data-driven initiatives. Such platform enhances the ability to control data, empowering users to self-service their data needs without relying on just the IT department to solve business problems.
With a proper data governance strategy in place, data will be more secured and increases the audibility. Uniformity of data will make analysing, reporting and decision making easier.
Data governance can allow businesses to successfully take advantage of their data to gain actionable, data-driven insights that are timely, relevant and accurate.
Course Information
- Duration: 5 Day / 40 Hours
- Certification: Participants will receive a Certificate of Completion upon successfully completed the course
- Who Should Attend: IT, Data, Data Management (policy, quality), Data Analytics, Statistic, Business Owners and anyone seeking to acquire knowledge on data governance
Pre-Requisite
It is preferred that participants have foundation knowledge in data governance or attended the Data Governance Foundation Training with CASUGOLModule 1 Introduction to Data Quality
Module 2 What is Data Security
Module 3 Metadata management
Module 4 Reference and Master data management
Module 5 Data warehouse and business intelligence
Module 6 Data Storage and operations
Module 7 Data integration and Sharing
Module 8 Document and Content Management
Module 9 Big Data and Data Science

Data governance technologies are evolving fast to meet the increasing demand of digital businesses today. This has forced organizations to adopt an all-inclusive data intelligence platform that integrate data governance, data quality and analytics capabilities for data-driven initiatives. Such platform enhances the ability to control data, empowering users to self-service their data needs without relying on just the IT department to solve business problems.
With a proper data governance strategy in place, data will be more secured and increases the audibility. Uniformity of data will make analysing, reporting and decision making easier.
Data governance can allow businesses to successfully take advantage of their data to gain actionable, data-driven insights that are timely, relevant and accurate.
Course Information
- Duration: 4 Day / 32 Hours
- Certification: Participants will receive a Certificate of Completion upon successfully completed the course
- Who Should Attend: IT, Data, Data Management (policy, quality), Data Analytics, Statistic, Business Owners and anyone seeking to acquire knowledge on data governance
Module 1 Data Management
Module 2 Data Handling Ethics
Module 3 Data Governance
Module 4 Data Management Organization and Roles Expectations
Module 5 International, Regional Regulatory Framework

- Giáo viên: Thang Le Toan