TiDB is an open-source, distributed SQL database that supports hybrid transactional and analytical processing (HTAP). It ensures high availability, scalability, and MySQL compatibility.
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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
TiDB is a distributed SQL database that is designed to handle large-scale online transaction processing (OLTP) and online analytical processing (OLAP) workloads. It is an open-source, cloud-native database that is built to be highly available, scalable, and fault-tolerant. TiDB uses a distributed architecture that allows it to scale horizontally across multiple nodes, while also providing strong consistency guarantees. It supports SQL and offers compatibility with MySQL, which makes it easy for developers to migrate their existing applications to TiDB. TiDB is used by companies such as Didi Chuxing, Mobike, and Meituan-Dianping to power their mission-critical applications.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
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