Professional Certificate in BI Data Integration Techniques
-- ViewingNowThe Professional Certificate in BI Data Integration Techniques is a vital course designed to meet the increasing industry demand for experts who can manage and integrate complex data systems. This certificate course emphasizes essential skills necessary for career advancement in the booming field of Business Intelligence (BI).
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GBP £ 140
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โข Data Integration Fundamentals – An introduction to data integration concepts, techniques, and tools. Coverage includes data warehousing, ETL (Extract, Transform, Load) processes, and data quality management.
โข Relational Database Management Systems (RDBMS) – Examines the design, implementation, and management of relational databases. Students learn SQL (Structured Query Language) for data manipulation and querying.
โข Data Integration Architectures – Explores various data integration architectures, such as hub-and-spoke, data federation, and enterprise service bus (ESB).
โข Extract, Transform, Load (ETL) Tools – Focuses on popular ETL tools like Informatica PowerCenter, Talend, and Microsoft SSIS. Hands-on experience in building ETL processes and solving data integration challenges.
โข Data Quality Management – Covers data profiling, data cleansing, and data validation techniques for improving data quality. Students learn to use tools and best practices to ensure accurate and consistent data.
โข Data Governance and Security – Examines data governance frameworks, policies, and procedures. Addresses data security concerns, such as data encryption, access control, and compliance.
โข Big Data Integration – Introduces big data integration concepts, tools, and techniques, such as Hadoop, Spark, and NoSQL databases. Students learn to handle large-scale data integration projects.
โข Data Virtualization and Federation – Covers data virtualization and federation techniques for integrating data from various sources in real-time. Explores tools like Denodo, Cisco Data Virtualization, and IBM Data Virtualization.
โข Cloud Data Integration – Focuses on data integration in cloud environments, including SaaS (Software as a Service), PaaS
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