data engineering apis

Databricks Connectivity Now Available

by Interzoid Team

Examples of Inconsistent Data

Run matching/duplicate data reports, identify inconsistent data, enrich data, and more within Databricks clusters and SQL warehouses.

The Databricks platform provides a cloud-based environment that combines data processing, analytics, and machine learning for datasets. It allows data engineers, data scientists, and analysts to work collaboratively on data projects. The platform is designed to handle large-scale data processing tasks and provides support for various programming languages such as Python, R, Scala, and SQL.

Interzoid's Cloud Data Connect application now has the ability to natively connect to Databricks clusters and SQL warehouses, enabling the running of match reports to identify redundant entity and individual names (within a dataframe for example), add similarity keys for intelligent data joins, enrich data with third-party data, validate data, and more.

For example, to run a match report against data within Databricks, click here.

You will need the following to access your data within Databricks:

- Server Hostname
- Port
- HTTP Path
- Personal Access Token

You will use this as part of a Databricks connection string, enabling connectivity to begin running data quality and analysis reports.

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