Databricks

Databricks is a unified analytics platform that accelerates innovation by unifying data science, engineering, and business analytics. Built by the original creators of Apache Spark™, it offers a cloud-based environment for processing large-scale data, running machine learning models, and enabling real-time analytics.

Why Databricks?

• Unified Platform: Combines data engineering, data science, and business analytics in one collaborative workspace.

• Scalable Processing: Optimized for big data with Apache Spark™, allowing for efficient processing of large datasets.

• Collaborative Notebooks: Features interactive notebooks with real-time co-authoring, version control, and support for multiple programming languages.

• Machine Learning Integration: Provides seamless integration with popular ML frameworks like TensorFlow, PyTorch, and scikit-learn.

Considerations at INFO

• Databricks is being trialed for projects that demand extensive data processing capabilities, advanced analytics, and robust machine learning workflows.

• Current Focus: Assessing scalability, ease of collaboration, integration with existing data pipelines, and overall impact on data-driven decision-making.

Databricks' comprehensive analytics and collaborative features make it a promising tool as we trial its potential to enhance our big data and analytics initiatives.