RKI stands for the Robert Koch Institute is continuously monitoring the situation, evaluating all available information, estimating the risk for the population in Germany. RKI Corvid provides selected information on COVID-19 available in English. In the connector source RKI Corvid we want to add streams for the states that include history data , incidence rate , cases , deaths and so on.
A fully managed data warehouse service in the Amazon Web Services (AWS) cloud, Amazon Redshift is designed for storage and analysis of large-scale datasets. Redshift allows businesses to scale from a few hundred gigabytes to more than a petabyte (a million gigabytes), and utilizes ML techniques to analyze queries, offering businesses new insights from their data. Users can query and combine exabytes of data using standard SQL, and easily save their query results to their S3 data lake.
1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Add Source" button in the top right corner of the screen.
3. In the search bar, type "RKI Covid" and select the RKI Covid source connector from the list of available sources.
4. Enter the necessary credentials for the RKI Covid source connector, including the API key and any other required information.
5. Once the credentials have been entered, click on the "Test" button to ensure that the connection is working properly.
6. If the test is successful, click on the "Save" button to save the RKI Covid source connector to your list of sources.
7. You can now use the RKI Covid source connector to extract data from the RKI Covid API and integrate it with other data sources in Airbyte.
8. To set up a data integration pipeline using the RKI Covid source connector, navigate to the "Destinations" tab on the left-hand side of the screen and select the destination you want to use.
9. Follow the prompts to set up the data integration pipeline, including selecting the RKI Covid source connector as the source and the destination you want to use.
10. Once the pipeline is set up, you can run it to extract data from the RKI Covid API and integrate it with your other data sources.
1. First, log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button and select "Redshift" from the list of available connectors.
3. Enter your Redshift database credentials, including the host, port, database name, username, and password.
4. Choose the schema you want to use for your data in Redshift.
5. Select the tables you want to sync from your source connector to Redshift.
6. Map the fields from your source connector to the corresponding fields in Redshift.
7. Choose the sync mode you want to use, either "append" or "replace."
8. Set up any additional options or filters you want to use for your sync.
9. Test your connection to ensure that your data is syncing correctly.
10. Once you are satisfied with your settings, save your configuration and start your sync.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
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Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
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Frequently Asked Questions
The RKI Covid's API provides access to a wide range of data related to the Covid-19 pandemic in Germany. The data can be categorized into the following categories:
1. Case data: This includes information on the number of confirmed cases, deaths, and recoveries in Germany.
2. Testing data: This includes information on the number of tests conducted, the positivity rate, and the number of tests per capita.
3. Hospitalization data: This includes information on the number of hospitalizations, ICU admissions, and ventilator use.
4. Vaccination data: This includes information on the number of people vaccinated, the number of doses administered, and the percentage of the population vaccinated.
5. Geographic data: This includes information on the number of cases and deaths by state, district, and municipality.
6. Demographic data: This includes information on the age, gender, and ethnicity of Covid-19 patients.
7. Time series data: This includes information on the daily and cumulative number of cases, deaths, and vaccinations over time.
Overall, the RKI Covid's API provides a comprehensive set of data that can be used to track the spread of Covid-19 in Germany and inform public health policies and interventions.