Tutorial - Notebook Basics
Type
On-Demand Video
Duration
5 minutes
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What you’ll learn
In this Databricks tutorial you will learn the Databricks Notebook basics for beginners. Notebooks let you collaborate across engineering, analytics, data science and machine learning teams with support for multiple languages (R, Python, SQL and Scala) and libraries.
Use notebooks to build your data workflows and apps enabled with built-in visualizations, automatic versioning and real-time co-authoring capabilities. You should also try out importing, exporting and publishing notebooks. To find an interesting notebook to import, check out the Databricks Industry Solution Accelerators. These fully functional notebooks tackle the most common and high-impact use cases that you face every day. Start here: https://github.com/databricks-industry-solutions
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Simplify data ingestion and automate ETL
Ingest data from hundreds of sources. Use a simple declarative approach to build data pipelines.
Collaborate in your preferred language
Code in Python, R, Scala and SQL with coauthoring, automatic versioning, Git integrations and RBAC.
12x better price/performance than cloud data warehouses
See why over 9,000 customers worldwide rely on Databricks for all their workloads from BI to AI.