How To Connect Databricks To Secoda, a Modern Data Catalog

Connect your data catalog to Databricks to enable simple data discovery across all of your data with the near-infinite scalability.

About the Databricks Integration

Databricks is a unified analytics platform that brings together big data and AI. It provides a collaborative environment for data engineering, machine learning, and analytics.

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Easily Integrate Your Favourite Tools With Secoda

Secoda is more than a data catalogue. Secoda is the place to organize company data knowledge. We’ve built Secoda as a single place for all incoming data and metadata, queries, docs and metrics a single source of truth.

How It Works

Secoda's connection with Databricks enables users to capture and catalog data from Databricks clusters and jobs. Secoda catalogs the data, provides details about the data, and even provides insights from datasets in Databricks. It also allows users to search data, view the most important metadata, and analyze the data. Connecting Secoda with Databricks helps to effectively manage and access data for improved visibility, and optimized performance.

How to see Databricks data lineage

Databricks data lineage can be viewed in the data lineage diagram generated by Secoda. The diagram captures the data sources and destinations, the transformations applied including calculated values, and the connections between them. Databricks data lineage diagrams show how data is transferred between different clusters in the data warehouse, along with data validations and transformations that were applied during the process. It is an essential tool for tracking data movement and understanding the impact of data changes over time.

Create a data dictionary for Databricks

A data dictionary for Databricks is an invaluable tool for leveraging data-driven insights. Secoda's easy-to-use, no code integrations help users create a comprehensive data dictionary that identifies and documents key data elements and their definitions. This enables users to track and manage data more effectively by connecting terms, definitions, and related values. By creating a data dictionary, users have the ability to access critical data with greater speed, reliability, accuracy, and consistency.

Share Databricks knowledge with everyone at your company

Sharing Databricks knowledge with everyone in the company can provide a multitude of benefits. It can unify different departments and efficiencies may be improved across workflows and processes. It could also help in providing the company with a better understanding of current policies, strategies and needs. Ultimately, this would allow for improved collaboration, increased productivity and better business decision making.

Create a single source of truth based on Databricks metadata

A single source of truth based on Databricks Metadata can help organizations to reduce manual data management processes and ensure accuracy. This platform simplifies the management of metadata infrastructure and provides a unified view of data sources. It enables teams to easily document the lineage of the data across systems, create structured definitions and gain visibility of data usage. Each workflow can have its own collection of curated assets and users will be notified of any changes. In addition, a system of governance is enabled to monitor usage, detect anomalies and control access.

Make sense of all your data knowledge in minutes