Working with Data Point
Data points are used to define the connectivity details to the data systems. These data system could represent the source, target or the native processing platform.
The connectivity details depend on the type of system where data belongs. Like, for data in RDBMS, generally the data point would have details like hostname or ip, port, user credentials and the database/schema. For Restful systems, the connection details would include the endpoint and the authentication details.
Apart from providing the connection details, the data point also provides functionality to standardize the properties that need to be used when extracting from or loading data into the data system. These extract and load properties vary based on the type of the system for which the data point is being setup.
The details of configuring data point for each supported database/system type is detailed in following pages.
Working with Amazon S3 Data Point
Working with Oracle Data Point
Working with Sybase Data Point
Working with MariaDB Data Point
Working with Web Services Data Point
Working with Salesforce Data Point
Working with Netezza Data Point
Working with Teradata Data Point
Working with Hadoop Data Point
Working with Snowflake Data Point
Working with PostgreSQL Data Point
Working with BigQuery Data Point
Working with Splice Machine Data Point
Working with Azure Blob Storage Data Point
Working with Active Directory Data Point
Working with Connect Direct Data Point
Working with MongoDB Data Point
Working with Thoughtspot Datapoint
Working with Redshift Data Point
Working with Azure Synapse Analytics Data Point
Working with SAP HANA Data Point
Working with Office 365 Data Point
Working with Google Cloud Storage Data Point