Data Engineering with real-time use case on Retail Banking - Free Training

Data Engineering with real-time use case on Retail Banking - Free Training

Vijayabalan Balakrishnan's photo
Vijayabalan Balakrishnan
ยทOct 4, 2022ยท

2 min read

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Data engineering helps make data more useful and accessible for consumers of data. To do so, ata engineering must source, transform and analyze data from each system. For example, data stored in a relational database is managed as tables, like a Microsoft Excel spreadsheet.

We are happy to announce Data Engineering with real-time use case Knowledge Sharing sessions

๐Ÿ“‘ Syllabus

๐ŸŽฏ ๐๐š๐ซ๐ญ-๐Ÿ:๐”๐ง๐๐ž๐ซ๐ฌ๐ญ๐š๐ง๐๐ข๐ง๐  ๐’๐จ๐ฎ๐ซ๐œ๐ž ๐’๐ฒ๐ฌ๐ญ๐ž๐ฆ

๐Ÿ“Œ Have taken Retail Banking as case study and made it easy to understand for beginners and intermediate level. ๐Ÿ“Œ Why? This will in-turn ensure, have good clarity while providing solution and designing

๐ŸŽฏ ๐๐š๐ซ๐ญ-๐Ÿ:๐‘๐ž๐š๐ฅ ๐ฐ๐จ๐ซ๐ฅ๐ ๐๐š๐ญ๐š ๐ž๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐  ๐œ๐š๐ฌ๐ž ๐ฌ๐ญ๐ฎ๐๐ข๐ž๐ฌ

๐Ÿ“Œ Requirement - Will define case study, provide scenario-base problem ๐Ÿ“Œ Why? This will help us to focus on architecture, design and provide solution

๐ŸŽฏ ๐๐š๐ซ๐ญ-๐Ÿ‘:๐Ž๐ฏ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ ๐จ๐Ÿ ๐๐š๐ญ๐š ๐ฆ๐จ๐๐ž๐ฅ๐ข๐ง๐ 

๐Ÿ“Œ Design simple data warehouse with dimension and facts ๐Ÿ“Œ Design Data Lake ๐Ÿ“Œ Azure SQL and SQL Server

๐ŸŽฏ ๐๐š๐ซ๐ญ-๐Ÿ’:๐ƒ๐š๐ญ๐š ๐ˆ๐ง๐ญ๐ž๐ ๐ซ๐š๐ญ๐ข๐จ๐ง

๐Ÿ“Œ Batch and Real time streaming - ingestion, transformation, delivery and movement of data ๐Ÿ“Œ Batch includes Azure Data Factory ๐Ÿ“Œ Real Time streaming includes - Azure streaming ๐Ÿ“Œ Data Lake ingestion includes - Data Bricks ๐Ÿ“Œ Walk though on Kafka

๐ŸŽฏ ๐๐š๐ซ๐ญ-๐Ÿ“:๐Œ๐จ๐ง๐ข๐ญ๐จ๐ซ๐ข๐ง๐  ๐œ๐จ๐ง๐ญ๐ซ๐จ๐ฅ ๐š๐ง๐ ๐ƒ๐š๐ญ๐š ๐ ๐จ๐ฏ๐ž๐ซ๐ง๐š๐ง๐œ๐ž

๐Ÿ“Œ Error handling ๐Ÿ“Œ Monitoring and control ๐Ÿ“Œ Testing ๐Ÿ“Œ Data Quality and Data Governance - Tools in market

๐ŸŽฏ ๐๐š๐ซ๐ญ-๐Ÿ”:๐•๐ข๐ฌ๐ฎ๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง

๐Ÿ“Œ Do we have all the data? in desired quality? ๐Ÿ“Œ Visualization using Power BI ๐Ÿ“Œ Understand value to business, customer related service and decision making

Loved it?

๐‡๐ข๐ญ ๐Ÿ‘ ๐ฌ๐ก๐จ๐ฐ โค๏ธ ๐“๐š๐  ๐˜๐จ๐ฎ๐ซ ๐Ÿ๐ซ๐ข๐ž๐ง๐ โค๏ธ

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