Spark Connection Via JDBC Driver
Apache Spark is a popular big data distributed processing system which is frequently used in data management ETL process and Machine Learning applications.
Using the open-source type 4 JDBC Driver for TigerGraph, you can read and write data between Spark and TigerGraph. This is a two-way data connection.
The Github Link to the JDBC Driver is https://github.com/tigergraph/ecosys/tree/master/tools/etl/tg-jdbc-driver The README file there provides more details.
Note that the TigerGraph JDBC Driver has more use cases than just as a Spark Connection. You can use TigerGraph's JDBC Driver for your Java and Python applications. This is an open source project.
Last modified 1yr ago
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