Undergraduate Certificate in Data Integration in BI
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⢠Data Integration Fundamentals: Introduction to data integration concepts, techniques, and challenges. Understanding the importance of data integration in Business Intelligence (BI).
⢠Data Warehousing: Overview of data warehousing concepts, architecture, and design. Understanding the role of data warehouses in data integration.
⢠Extract, Transform, Load (ETL): Deep dive into ETL processes and techniques, including data cleansing, normalization, and aggregation.
⢠Data Quality Management: Techniques for ensuring data quality, including data profiling, validation, and monitoring.
⢠Data Integration Tools and Technologies: Overview of various data integration tools and technologies, including ETL tools, data federation, and virtualization.
⢠Data Governance: Understanding the importance of data governance in data integration, including data ownership, stewardship, and security.
⢠Big Data Integration: Exploring data integration challenges and solutions in big data environments, including Hadoop and Spark.
⢠Cloud Data Integration: Understanding the unique challenges and solutions for integrating data in cloud environments, including SaaS, PaaS, and IaaS.
⢠Data Integration Best Practices: Best practices for designing, implementing, and maintaining data integration solutions, including testing, monitoring, and optimization.
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