Begin by familiarizing yourself with the data schema in your CockroachDB instance. Identify tables and their relationships, and understand how this data will map to Weaviate's object and class structure. Document any important fields and their data types to facilitate the data transformation process later.

Use CockroachDB"s built-in export functionality to extract your data into CSV or JSON format. You can achieve this by executing SQL queries that export the desired tables. For instance, use the `cockroach dump` command for a full table export or write custom SQL queries to format data as needed. Make sure all the data required for your Weaviate instance is included in this export.

Once the data is exported, you need to transform it to match Weaviate"s schema. This involves converting data types and formats to align with Weaviate"s requirements. For example, ensure that dates, numbers, and strings are in the correct format. You might create a script in Python or another language to automate this process, ensuring that the data is structured appropriately for import into Weaviate.

Before importing data, define the schema in Weaviate that will host the data. Use Weaviate"s RESTful API to create the necessary classes and properties. Each class in Weaviate should correspond to a table or logical grouping of data from CockroachDB. Carefully map each property in Weaviate to the fields you identified from your CockroachDB schema.

Organize your transformed data into a format that can be easily ingested by Weaviate. This typically involves creating JSON objects that correspond to the classes and properties you defined in Weaviate. Ensure that each data point is correctly structured and references are accurately maintained to reflect relationships and links in the original dataset.

Use Weaviate"s RESTful API to import the prepared data. This can be done programmatically by writing a script or using command-line tools like cURL. Make POST requests to the appropriate endpoints to create objects within Weaviate. Handle any errors by validating the responses from the API and making necessary adjustments to the data or schema.

After importing, thoroughly verify that the data in Weaviate reflects the original data from CockroachDB. Perform checks to ensure all records are present and that relationships and references are maintained. Use Weaviate"s search and query functionalities to validate data integrity and consistency, making adjustments as necessary to address any discrepancies.

By following these steps, you can effectively move data from CockroachDB to Weaviate without relying on third-party connectors or integrations, ensuring a smooth and accurate data migration process.