
edXData's journey from raw source to actionable insight requires three competencies: SQL for querying relational data stored on the cloud; ETL to move and transform that data at scale using Bash, Apache Airflow, and Kafka; and Business Intelligence to analyze and visualize the result. This course builds all three, integrated.
Write shell scripts to automate operations, craft SQL for relational and cloud databases, design data warehouses using schemas that enable analysis, and use IBM Cognos to turn data into dashboards. For data engineers and analytics engineers, the course closes the loop: ingest, transform, and serve data reliably. Essential for anyone building data infrastructure at scale.
Create shell scripts using common Linux/UNIX shell commands. ,Describe relational database concepts, create a relational database on cloud, execute SQL statements, and access databases using SQL. ,Build batch and streaming ETL and ELT Data Pipelines using Bash, Apache Airflow and Kafka. ,Design, model, and implement a data warehouse and analyze its data using Business Intelligence tools like IBM Cognos.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.