- 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 π Work With Data
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The Singapore stock market has alternated between positive and negative finishes through the last five trading days since the end of the two-day winning streak in which it had added more than a dozen points or 0.4 percent. The Straits Times Index now sits just above the 3,060-point plateau and it's likely to see a narrow trading range on Monday.
Newly uncovered hack campaign in Telegram
The campaign, which security firm Check Point has named Rampant Kitten, comprises two main components, one for Windows and the other for Android. Rampant Kittenβs objective is to steal Telegram messages, passwords, and two-factor authentication codes sent by SMS and then also take screenshots and record sounds within earshot of an infected phone, the researchers said in a post published on Friday.