- Understand how data engineering supports data science workflows - Discover how to extract data from files and databases and then clean, transform, and enrich it - Configure processors for handling different file formats as well as both relational and NoSQL databases - Find out how to implement a data pipeline and dashboard to visualize results - Use staging and validation to check data before landing in the warehouse - Build real-time pipelines with staging areas that perform validation and handle failures - Get to grips with deploying pipelines in the production environment
- Understand how data engineering supports data science workflows - Discover how to extract data from files and databases and then clean, transform, and enrich it - Configure processors for handling different file formats as well as both relational and NoSQL databases - Find out how to implement a data pipeline and dashboard to visualize results - Use staging and validation to check data before landing in the warehouse - Build real-time pipelines with staging areas that perform validation and handle failures - Get to grips with deploying pipelines in the production environment
BY Python 🐍 Work With Data
Warning: Undefined variable $i in /var/www/tg-me/post.php on line 283
Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.
Tata Power whose core business is to generate, transmit and distribute electricity has made no money to investors in the last one decade. That is a big blunder considering it is one of the largest power generation companies in the country. One of the reasons is the company's huge debt levels which stood at ₹43,559 crore at the end of March 2021 compared to the company’s market capitalisation of ₹44,447 crore.
