kinetica-query

To write a Kinetica geospatial SQL query, you can use functions like STXY_DWITHIN to find all records within a specified radius of a coordinate point. The skill guides you through the exact syntax for this spatial filtering.

Yes, Kinetica SQL supports vector search and time-series data analysis through advanced built-in functions. You can construct queries to process and analyze vector embeddings and time-series datasets efficiently.

You can interact with the Kinetica REST API using curl to execute SQL queries by sending HTTP requests directly. The skill provides guidance on parsing the complex JSON responses returned from these API calls.

The best way to query JSON and array data types in Kinetica SQL is by using its advanced native functions. This skill helps you construct the correct syntax to parse and extract nested values from these complex data structures.

Yes, you can use Kinetica's SQL interface to perform text search and graph analytics. The skill provides the specific query writing guidance needed to leverage these advanced analytical features.

To filter time-series records in Kinetica SQL, you construct a query using the appropriate date and time functions to target a specific relative window. The skill offers guidance on writing these time-based filtering queries.