Databricks - Orchestration tool to design Databricks native ETL/ELT workflows. Deploy workflows within your Databricks workspace. Pre-built connectors and reusable transformation blocks for accelerated speed to market. Data Governance and Quality through Databricks unity catalog. Highly configurable with customizable workflows and Data stays within your environment ensuring security.
DATABRICKS “ELT” Designer
Traditional ETLs, especially Batch ETLs, are slow and time-consuming. Data handlers spend
45% of their time on data preparation tasks.
ETL processes can be costly and time-consuming to scale as your data changes and grows.
In a survey, it was revealed that 79% of organizations use
100+ data sources, with 30% exceeding 1,000 sources.
Manual handling of data transformations and loads in ETL processes increases
the risk of human error, leading to data inaccuracies.