Snowflake - Complete End To End Data Project Hands-On Guide
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Want to learn how to architect, design and implement End To End Data Project in Snowflake?
Do you want to upgrade your Snowflake skill and learn how to build complete end to end data project using Snowflake Cloud Data Warehouse Platform?
In this course, you will learn everything, starting from source file analysis, evaluating different architectural issues to ingetrate data, layered architecture to store different datasets, design stage/raw/curated layers and finally automate your data pipeline and implemente fully automated data flow from source to visualization with real life.
Why should you take this course?
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Understand everything about end to end data engineering project – a step by step guide
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Different data integration challenges and how to build a solution to ingest data into snowflake.
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How to design a layered architecture to store and process the data.
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How to automate the data integraiton to ingest live data.
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How to automate and create a fully functional DAG.
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How to use Snowflake dynamic tables to create fully functional data pipeline.
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How to create a visualization using streamline within Snowflake
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How to use Snowpark Python library with GitHub action to automate data flow.
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How to use free marketplace data and integrate it with Snowflake data pipeline.
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10
Create Dabase, Schema & Warehoues -
11
Load Data Files To Stage Location
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12
Flatten & De-Duplication (Cleansing)
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13
Transpose The Data (Rows To Columns)
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14
Design & Implement Wide Table Approach
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15
Design & Implement Fact + Dimensiont Tables
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16
Load Additional Data & Observe Data Flow
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17
Aggregated Fact Table (Design & Implementation)
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18
Day Level Aggregated Fact Table
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19
Large Data Loading & Validate Data Pipeline
