This repository contains a collections of tutorials that aim to provide data-to-cloud technologies and hands-on tutorials for different environment and scenarios, and each gives the step-by-step guideline for customers to build a data-to-cloud process.
This series is not telling customer how to migrate the data from their on-premises environment to cloud at once, for example some companies need to change their OLTP database from Oracle to Mysql etc. However, the series is providing a practical way for companies/governments/organizations to build up a data tunnel for extracting data from operational source systems to Alibaba Cloud.
The table below shows how can we choose according to different scenarios:
| Source | Source Environment | Target | Target Environment | Requirement: Entire/Incremental/(Real-time/Cycle-synchronization) | Method | Doc |
|---|---|---|---|---|---|---|
| oracle | on-premises | maxcompute | public cloud | entire+incremental+real-time | dts+mysql | orcl-op-maxc-pub-entire-incr-rt-dts |
| oracle | on-premises | maxcompute | public cloud | entire+incremental+realtime | dts+datahub | orcl-op-maxc-pub-entire-incr-rt-datahub |
| oracle | on-premises | mysql | on-premise/private cloud | entire+incremental+cycle-synchronization | kettle | orcl-op-maxc-op-entire-incr-cycl |
For example, the first article describe the situation of extracting data from oracle database from on-premise environment to maxcompute on public cloud, firstly we migrate the full data at one time, followed by real-time incremental data synchronization to MaxCompute.