Sometimes you want to acquire, route, transform, live query and analyze all the weather data in the United States while those reports happen. With FLaNK, it's a trivial process to do.
From Kafka to Kudu for Any Schema of Any Type of Data, No Code, Two Steps
*The Schema Registry has full Swagger-ized Runnable REST API Documentation. Integrate, DevOps and Migration in a simple script. *
Here's your schemas, upload, edit and compare.
Validating Data Against a Schema With Your Approved Level of Tolerance. You want extra fields allowed, you got it.
Feed that data to beautiful visual applications running in Cloudera Machine Learning.
Query your data fast with Apache Hue against Apache Kudu tables through Apache Impala.
Let's ingest all the US weather stations even though they are a zipped directory of a ton of XML files.
Weather Ingest is Easy Automagically
View All Your Topic Data Enabled by Schema Registry Even in Avro Format
| INSERT INTO weathernj |
| | SELECT
location, station_id,latitude,longitude,observation_time,weather, |
| | temperature_string, temp_f,temp_c,relative_humidity,wind_string,wind_dir,wind_degrees,wind_mph, |
| | wind_kt, pressure_in,dewpoint_string,dewpoint_f,dewpoint_c |
| | FROM weather |
| | WHERE |
location is not null and
location <> 'null' and trim(
location) <> '' and
location like '%NJ'; |
Example Slack Output
http://forecast.weather.gov/images/wtf/small/ovc.pngLocation Cincinnati/Northern Kentucky International Airport, KY Station KCVG
Temperature: 49.0 F (9.4 C)
Wind East at 3.5 MPH (3 KT)
Dewpoint 44.1 F (6.7 C)Observed at Tue, 27 Oct 2020 11:52:00 -0400---- tracking info ---- UUID: 2cb6bd67-148c-497d-badf-dfffb4906b89
Kafka offset: 0