Exasol virtual schema with Snowflake as data source
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Updated
Oct 1, 2024 - Java
Exasol virtual schema with Snowflake as data source
Virtual Schema for connecting Databricks as a data source to Exasol
Common interface for testing with an Exasol database in local and AWS environments using Java.
Framework for building complex data analysis algorithms with Exasol
Terraform module for quickly creating an Exasol cluster for testing
Terraform module for deploying Exasol cluster on AWS.
An Exasol extension to interact with AWS SageMaker from inside the database
An Exasol extension for using state-of-the-art pretrained machine learning models via the Hugging Face Transformers API.
Release Repository for Script Language Container for user defined functions (UDF's) that can be used in the EXASOL database.
Collection of data science and machine learning examples with Exasol
Infrastructure & Automation Tooling for Python Projects
The script-languages-container-tool is responsible for building script-language container for extending Exasol UDFs
Base Repository for the Script Language Container for user defined functions (UDF's) that can be used in the EXASOL database. You can find the release repository under https://github.com/exasol/script-languages-release
Exasol Cloud Storage Extension for accessing formatted data Avro, Orc and Parquet, on public cloud storage systems
Exasol Kafka Extension for accessing Apache Kafka
Java library for creating and cleaning up test database structures and contents for integration tests
Common functionality, shared by Exasol Python Extensions.
Virtual Schema for document files on Google Cloud Storage.
Creation of virtual machines which can be used to build script-languages container
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