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The Databricks Notebook: Front Door of the Lakehouse

On Demand

Type

  • Session

Format

  • Hybrid

Track

  • Data Science, Machine Learning and MLOps

Room

  • Moscone South | Level 3 | 306

Duration

  • 35 min
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Overview

One of the greatest data challenges organizations face is the sprawl of disparate toolchains, multiple vendors, and siloed teams. This can result in each team working on their own subset of data, preventing the delivery of cohesive and comprehensive insights and inhibiting the value that data can provide. This problem is not insurmountable, however; it can be fixed by a collaborative platform that enables users of all personas to discover and share data insights with each other. Whether you're a marketing analyst or a data scientist, the Databricks Notebook is that single platform that lets you tap into the awesome power of the Lakehouse. The Databricks Notebook supercharges data teams’ ability to collaborate, explore data, and create data assets like tables, pipelines, reports, dashboards, and ML models—all in the language of users’ choice. Join this session to discover how the Notebook can unleash the power of the Lakehouse. You will also learn about new data visualizations, the introduction of ipywidgets and bamboolib, workflow automation and orchestration, CI/CD, and integrations with MLflow and Databricks SQL.

Session Speakers

Rafi Kurlansik

Lead Solutions Architect

Databricks

Austin Ford

Databricks

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