LinkedIn Learning - Introduction to Analytics Engineering

Files Included :

01 - What is analytics engineering.mp4 (2.16 MB)
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02 - Prerequisites for the course.mp4 (895.97 KB)
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01 - How the field of data has changed in the last couple of years.mp4 (4.13 MB)
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02 - How did analytics engineering come to be.mp4 (4.11 MB)
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03 - Where do analytics engineers come from.mp4 (4.11 MB)
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04 - What skills are needed for analytics engineering.mp4 (3.78 MB)
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01 - What is data modeling.mp4 (5.56 MB)
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02 - Cloud data warehouses Snowflake.mp4 (8.46 MB)
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03 - Data pipeline tools DBT.mp4 (11.9 MB)
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04 - Business intelligence (BI) tools Looker.mp4 (11.03 MB)
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05 - Challenge Build a simple data model.mp4 (998.8 KB)
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06 - Solution Build a simple data model.mp4 (4.75 MB)
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01 - Using Git.mp4 (4.61 MB)
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02 - Version control and testing.mp4 (5.75 MB)
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03 - Challenge Add a pull request.mp4 (971.16 KB)
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04 - Solution Add a pull request.mp4 (5.67 MB)
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01 - Writing documentation.mp4 (5.73 MB)
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02 - Communicating with the business team.mp4 (5.01 MB)
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03 - Challenge Writing documentation.mp4 (947.71 KB)
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04 - Solution Writing documentation.mp4 (2.79 MB)
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01 - Wrap up and consider the analytics engineer role.mp4 (2.37 MB)
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