Glossary/Data Operations and Management/
Data discovery for Databricks

Data discovery for Databricks

This is some text inside of a div block.

What is Databricks

Databricks is a powerful cloud-based data platform. It was created in 2013 by the team behind Apache Spark and provides comprehensive services for data engineering, data science, analytics, governance, and more. Users have access to the full range of Apache Spark’s capabilities, as well as powerful features like MLflow. Databricks allows users to quickly and easily create workflows and manage data in a secure and centralized environment.

Benefits of Setting up Data Discovery in Databricks

Benefits of Setting up Data Discovery in Databricks

Data Discovery is an invaluable tool for data teams. It provides a way for data professionals to quickly understand, analyze and visualize data, so they can make timely decisions and move quickly to identify trends. Data Discovery helps teams quickly and easily identify correlations, trends, outliers and analytics opportunities. This type of data analysis is crucial for teams working with complicated datasets, as data Discovery allows them to quickly get the insights they need to improve data accuracy, optimize workflows and enhance customer experiences. Additionally, by utilizing a visual representation of data, data teams can identify areas of focus, uncover hidden relationships, unify data sources and develop innovative strategies. Data Discovery is essential for successful data teams and empowers them to make the most out of their data.

Why should you set up Data Discovery for Databricks

Data Discovery for Databricks is a powerful tool that allows users to quickly and easily explore their data. It provides interactive visualizations and data exploration tools that enable users to find meaningful insights from their data. Data Discovery for Databricks provides interactive charts, maps, and tables for data exploration. In addition, with the help of Data Discovery, users can quickly and easily identify anomalies and correlations in their data in order to spot trends and outliers. Data Discovery for Databricks also simplifies the work of ETL and data preparation, allowing users to quickly clean up, normalize, and join data from different sources. In summary, Data Discovery for Databricks provides powerful capabilities that enable users to quickly find insightful data and make informed decisions based on their analysis.

How to set up

Data Discovery in Secoda is beneficial to organizations of all sizes. This automated and easy to use data discovery tool simplifies and accelerates user data discovery, and provides access to real-time insights with added accuracy. Secoda notably utilizes machine learning technology to uncover previously unseen data correlations, as well as quantifying levels of unstructured risk in order to identify process improvements, easy tracking of service levels, and identify anomalies or outliers in data sets. Through using Secoda, users can easily search and collect data from various sources, including analytics software and databases, as well as apply numerous data mining and visualizing techniques to it. Overall, Secoda is a powerful and simple data discovery tool that offers a number of benefits such as expediting data discovery, enabling the user to focus on the data analysis and uncovering various data relationships.

Get started with Secoda

Secoda is an automated data discovery tool that provides users with an easy to use experience. It integrates with the modern data stack and features a wide variety of features, such as data profiling, data lineage, data mapping, and data quality assessment. It's great for exploring data sources and uncovering insights, and its intuitive UI makes it simple and straightforward to use. Secoda is the perfect tool for data-driven businesses looking to improve productivity and performance.

From the blog

See all