ETL, BI and data modelling
Taught by Hugo Newman · AI tutor support included
Students understand how ETL processes extract, transform, and load data to create organised, accessible information systems that drive business intelligence. They explore data modelling frameworks, the integration of big data technologies like Hadoop and Google BigQuery, and how finance functions leverage these systems for strategic decision-making and operational efficiency.
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In this lesson
- 0:00 Introduction to Data Engineering
- 0:15 ETL Process Overview
- 1:29 Support Elements in ETL Systems
- 3:57 ETL and Big Data
- 4:59 Business Intelligence Systems
- 5:55 Data Modelling, Manipulation, and Analysis
- 8:37 Role of Finance in Data Modelling
About this lesson
Dive into the intricate world of ETL (Extract, Transform, Load), BI (Business Intelligence), and data modelling with this enlightening 11-minute video. Learn how these processes work together to streamline data extraction, transformation, and loading, ensuring data is efficiently organised and accessible for business intelligence purposes. Discover the critical steps involved in creating a coherent data model and how modern tools like Google BigQuery and Hadoop are revolutionising these systems for big data needs. Gain actionable insights into enhancing your organisation's data management strategies for optimal decision-making and strategic planning. Watch now to transform your data into a powerful asset for your business.
Duration: 12m
- ETL Process (Extract, Transform, Load)
- Business Intelligence Systems
- Data Modelling and Architecture
- Big Data Technologies
- Data Quality and Governance
- Finance Function in Data Strategy
Transcript
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