AWS Database Migration Service VS Jupyter

AWS Database Migration Service Reviews

Jupyter Reviews

AWS Database Migration Service mentions (30)

• 3 Proven Patterns for Reporting with Serverless

  The second big drawback is speed. There will be more latency in this scenario. How much latency depends upon the environment. If there is RDBMS in the source, AWS Data Migration Service will at worst take around 60 seconds to replicate. That cost needs to be accounted for. Secondarily, many triggering events are leveraged which happen fairly quickly but they do add up. - Source: dev.to / about 1 month ago

• RDS Database Migration Series - A horror story of using AWS DMS with a happy ending

  Amazon Database Migration Service might initially seem like a perfect tool for a smooth and straightforward migration to RDS. However, our overall experience using it turned out to be closer to an open beta product rather than a production-ready tool for dealing with a critical asset of any company, which is its data. Nevertheless, with the extra adjustments, we made it work for almost all our needs. - Source: dev.to / 2 months ago

• Aurora serverless v1 to v2 upgrade pointers?

  Does AWS DMS make sense here? Doesn't the aforementioned "snapshot+restore to provisioned and upgrade" method suffice? I wanted to get some opinions before deep diving into the docs for yet another AWS service. Source: 9 months ago

• Using Amazon RDS Postgres as a read replica from an external Database

  One easy solution is AWS DMS. I use it for on-going CDC replication with custom transforms, but you can use it for simple replication too. Source: about 1 year ago

• Ask HN: How do you do slow migration with zero downtime?

  Https://aws.amazon.com/dms/ Azure Database Migration Service. - Source: Hacker News / about 1 year ago

Jupyter mentions (206)

• Interactive Visualizations of Rate-Limiting Algorithms

  Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 18 hours ago

• scrape-yahoo-finance

  JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 22 days ago

• Let’s build AI-tools with the help of AI and Typescript!

  Jupyter Lab web-based interactive development environment. - Source: dev.to / about 1 month ago

• Scrape Redfin Property Data

  Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 28 days ago

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago