Trino Highlights
High-performance queries
Manage and monitor your IoT devices and define relationships and dependencies between them.
Federated Queries
Simple integration
Flexible operation
Versatile data format
Scalability
it-novum Professional Services for Trino
Implementation
Implementation of Trino
PoC / PoV
Proof-of-concept / proof-of-value for your use case with Trino
Consulting
360° consulting for the implementation of your Trino project
Trainings and Workshops
KnowHow development with trainings and individual workshops
FAQ
Trino splits queries into fragments that are executed simultaneously on different nodes in the cluster. This allows us to process large amounts of data quickly and efficiently by using distributed resources. This parallel processing enables us to answer complex queries quickly.
To access the data processed in Trino, you connect to a Trino cluster via JDBC, ODBC or the REST API. You then use an SQL client tool such as DBeaver to formulate and execute your queries. The results are sent from the Trino cluster to your client tool and displayed there.
Although Trino does not have a Salesforce Connector, a connection to Salesforce can be established by extracting data from Salesforce using an ETL tool and saving it in a supported format. This data can then be loaded into Trino and queried. Starburst offers additional features and integrations that can facilitate this process.
When working with Trino, it is advisable to use a GUI tool. Although the CLI tools are practical, GUI tools such as DBeaver can improve usability and facilitate complex queries.
In short, yes, Trino offers a JDBC interface that allows you to connect to a Trino cluster via JDBC (Java Database Connectivity).
Tableau works well with Trino. The Tableau Connector/JDBC is a popular option to integrate Tableau with various data sources, including Trino.
Analyzing data stored in Amazon S3 works very well with Trino. Trino offers native support for connecting to S3 and is designed to process large amounts of data efficiently.
You can use the JDBC interface or the ODBC driver from Trino to establish a connection. Alternatively, you can use the REST API. Some BI applications also offer native integrations with Trino. However, JDBC or ODBC are usually the preferred options for connecting BI applications to Trino.
In Trino, external tables are used to access data, such as in files or another system. For nested JSON data, you set up external tables by defining the data structure to interpret the JSON file correctly. Trino can then use these tables to access the JSON data and execute queries as if they were stored in a traditional database table.
With Trino, you can access various data sources that may not be directly supported by Pentaho or that you don’t want to connect via ETL, which expands your analytics capabilities. In addition, Trino provides a data governance layer that improves the control and management of your data while simplifying ETL processes by enabling fast and efficient processing of large amounts of data.
