End To End Data Engineering Project Using Snowflake | Real Cricket Analytics Use Case @DataEngineering
End To End Data Engineering Project Using Snowflake | Real Cricket Analytics Use Case  @DataEngineering
Uploaded November 2023 | Updated September 2026, 2 hours ago
🏏 Dive into the world of one day international (ODI) cricket data with my latest data engineering project, where we've built a comprehensive end to end data engineering solution using Snowflake. This video covers everything from design considerations to the intricacies of data flow and database layer/table architecture.

πŸ” Design Considerations: Learn about the key decisions made in designing the data modelling and the overall project architecture.

🌐 Data Flow: From data loading and curation to transformation into Snowflake, understand the seamless flow of information. We'll break down the steps involved in ensuring data quality, integrity, and how Snowflake enhances the efficiency of this process.

Once you complete this end to end real time snowflake based data engineering project (ETL/ELT), you would be able answer of following questions

1. How to load data from location machine to Snowflake stage location.(Small JSON files as well as many JSON files at on go).
2. How to load delta data set from local machine to internal stages?
3. How to use $ notation to query stage file?
4. How to run copy command to load JSON files into tables?
5. How to design different layers & fact/dimension tables?
6. How to automate data flow using task and task tree?
7. How to build quick dashboard using Snowsight?

πŸš€πŸš€ How To Connect
✏ Instagram: instagram.com/learn_dataengineering
✏ Medium Blog: medium.com/@data-engineering-simplified
✏ Exclusive Snowflake Facebook Group: facebook.com/groups/627874916138090

πŸš€πŸš€ Sample JSON Files & SQL Scripts
✏ medium.com/@data-engineering-simplified/8f8e4f0fd1d0

πŸš€πŸš€ Chapters
βž₯ 00:00:00 Introduction
βž₯ 00:01:56 Welcome Note
βž₯ 00:03:07 Udemy Course Offers
βž₯ 00:03:33 Review Match Level JSON File
βž₯ 00:06:19 Review E2E Data Flow Diagram
βž₯ 00:11:07 Part-01 - Pre Requisite
βž₯ 00:11:58 Part-02 - Database/Schema Creation
βž₯ 00:15:13 Part-02.1 - Load JSON Files Using SnowSight
βž₯ 00:17:35 Part-02.2 - Bulk Load JSON Files Using SnowSQL CLI
βž₯ 00:19:01 Part-03 - Stage to Raw Data Loading
βž₯ 00:28:46 Part-04 - Cleansing + Curation Introduction
βž₯ 00:36:09 Part-04.1 - Extract Clean Match Data
βž₯ 00:48:28 Part-04.2 - Extract Clean Player Data
βž₯ 00:54:01 Part-04.3 - Extract Clean Bowling Data
βž₯ 01:12:57 Step-05 - Quick Data Validation
βž₯ 01:15:22 Step-06 - Populate Fact & Dimension
βž₯ 01:41:36 Step-07 - Quick Visualisation
βž₯ 01:43:49 Step-08 - Automate Continuous Data Flow
βž₯ 01:50:12 Step-09 - Summary
βž₯ 01:51:00 Thank you note


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Disclaimer: All snowflake-related learning materials and tutorial videos published in this channel are the personal opinions of the data engineering simplified team and they're neither authorised by nor associated with Snowflake, Inc.
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End To End Data Engineering Project Using Snowflake | Real Cricket Analytics Use Case

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