Data Science with Databricks Platform | Databricks
Write code in Python, R, Scala and SQL, explore data with interactive visualizations and discover new insights with Databricks Notebooks. Confidently and securely share code with coauthoring, commenting, automatic versioning, Git integrations, and role-based access controls.
Databricks Training & Certification Programs | Databricks
Accelerate your career with Databricks training and certification in data, AI, and machine learning. Upskill with free on-demand courses.
Databricks Apps | Databricks
With Databricks Apps, data scientists and engineers can rapidly build and iterate on apps using familiar Python frameworks such as Dash, Gradio and Streamlit. You can also choose from pre-built Python templates that allow you to quickly build flexible apps.
Introduction to Databricks: A Beginner’s Guide - Medium
Feb 26, 2024 · In this guide, I’ll walk you through everything you need to know to get started with Databricks, a powerful platform for data engineering, data science, and machine learning. From setting...
Perform data science with Azure Databricks - Coursera
Harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data science workloads. Perform machine learning with Azure Databricks. Work with User-Defined Function (UDF) in Azure Databricks
Graph and network analysis on Databricks | Databricks on AWS
October 11, 2024. This article gives an overview of Databricks capabilities for graph analysis and an introduction to basic graph concepts. Graphs are also commonly called networks, especially in the context of a specific area of study, such as social networks, or communication networks. A graph is a set of vertices that are connected by edges.
Databricks data engineering | Databricks on AWS
Databricks data engineering features include a robust environment for collaboration among data scientists, engineers, and analysts. Data engineering tasks are also the backbone of Databricks Mosaic AI solutions.
Databricks concepts | Databricks on AWS
Data warehousing refers to collecting and storing data from multiple sources so it can be quickly accessed for business insights and reporting. Databricks SQL is the collection of services that bring data warehousing capabilities and performance to your existing data lakes. See What is data warehousing on Databricks?.
Databricks data engineering - Azure Databricks | Microsoft Learn
Databricks data engineering features include a robust environment for collaboration among data scientists, engineers, and analysts. Data engineering tasks are also the backbone of Databricks Mosaic AI solutions.
AI and machine learning on Databricks - Azure Databricks
Oct 11, 2024 · This article describes the tools that Mosaic AI (formerly Databricks Machine Learning) provides to help you build AI and ML systems. The diagram shows how various products on Databricks platform help you implement your end to end workflows to build and deploy AI and ML systems.
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