Data Engineering
โ๐๐ง๐ฅ๐จ๐๐ค๐ข๐ง๐ ๐ญ๐ก๐ ๐๐จ๐ฐ๐๐ซ ๐จ๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ : ๐๐๐ฒ ๐๐จ๐ง๐๐๐ฉ๐ญ๐ฌ ๐๐ง๐ ๐๐ซ๐๐๐ญ๐ข๐๐๐ฌ ๐๐จ๐ฎ ๐๐ก๐จ๐ฎ๐ฅ๐ ๐๐ง๐จ๐ฐ!โ
By Apurva Suke #DATA ENGINEERING, #dataengineer, #DATAMODELLING, #datascience, #DATAWAREHOUSE, #ETL, #PYTHON, #SQL
๐ ๐๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐๐ข๐ง๐ ๐ญ๐ก๐ ๐๐ฌ๐ฌ๐๐ง๐ญ๐ข๐๐ฅ๐ฌ ๐จ๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ : ๐ ๐๐ฎ๐ข๐๐ค ๐๐ฎ๐ข๐๐
In the rapidly evolving world of data, mastering the key concepts of data engineering is crucial for building robust, scalable systems that empower data-driven decisions. Whether youโre a seasoned pro or just starting, hereโs a concise guide to the foundational aspects of data engineering:
1. ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ : Itโs all about designing, building, and maintaining systems that collect, store, and process massive amounts of data, making it ready for analysis and business use.
2. ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐ฏ๐ฌ. ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐: Data engineering focuses on the infrastructure and pipelines, while data science extracts insights, builds models, and solves business problems.
3. ๐๐๐ (๐๐ฑ๐ญ๐ซ๐๐๐ญ, ๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ, ๐๐จ๐๐):This is the backbone of data movement, ensuring data is extracted from sources, transformed into a usable format, and loaded into databases or data warehouses.
4. ๐๐๐ญ๐ ๐๐ง๐ ๐๐ฌ๐ญ๐ข๐จ๐ง: The first step in data processingโimporting data from various sources into a system where it can be analysed.
5. ๐๐๐ญ๐ ๐๐ข๐ฉ๐๐ฅ๐ข๐ง๐: Think of it as an automated workflow that moves data from one place to another, often involving data transformation along the way.
6. ๐๐๐ญ๐ ๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง: This involves converting data into a format that suits your needs, ensuring compatibility and enhancing data quality.
7. ๐๐๐ญ๐ ๐๐๐ซ๐๐ก๐จ๐ฎ๐ฌ๐: A centralized hub for storing structured data from multiple sources, optimized for fast query and analysis.
8. ๐๐๐ญ๐ ๐๐จ๐๐๐ฅ๐ฅ๐ข๐ง๐ : The process of creating a visual representation of your data structures, ensuring that your data is organized and accessible.
9. ๐๐๐ ๐ข๐ง ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ : The go-to language for querying and managing data in relational databasesโessential for data manipulation and retrieval.
10. ๐๐๐ญ๐๐๐๐ฌ๐ ๐๐ง๐๐๐ฑ: A powerful tool to speed up data retrieval by providing quick access to data in a database table.
๐ก ๐๐ซ๐จ ๐๐ข๐ฉ: Mastering these concepts not only sharpens your data engineering skills but also positions you as a key player in your organizationโs data strategy.