1:1 Data Engineering KT Session

5Popular
1:1 Data Engineering KT Session
C$2C$15
30 mins

Here is the roadmap that I followed:

๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿญ: ๐—ฆ๐—ค๐—Ÿ

- Basic SQL Syntax

- DDL, DML, DCL

- Joins & Subqueires

- Views & Indexes

- CTEs & Window Functions


๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฎ: ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป

- Fundamentals

- Numpy

- Pandas


๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฏ: ๐—ฃ๐˜†๐˜€๐—ฝ๐—ฎ๐—ฟ๐—ธ

- RDD

- Dataframe

- Datasets

- Spark Streaming

- Optimization techniques


๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฐ: ๐——๐—ฎ๐˜๐—ฎ ๐—ช๐—ฎ๐—ฟ๐—ฒ๐—ต๐—ผ๐˜€๐˜‚๐—ถ๐—ป๐—ด/๐——๐—ฎ๐˜๐—ฎ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น๐—ถ๐—ป๐—ด

- OLAP vs OLTP

- Star & Snowflake Schema

- Fact & Dimension Tables

- Slowly Changing Dimensions (SCD)


๐—ฆ๐˜๐—ฒ๐—ฝ ๐Ÿฑ: ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ๐˜€

- Nosql DB

- Relational DB

- Datawarehousing

- Scheduling & Orchestration

- Messaging

- ETL Services

- Storage Services

- Data Processing Service

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