Categories

Supercharge Your Data Warehouse: Introducing Python Stored Procedures

Published: 23 July 2024
on channel: Databricks
334
2

Python stored procedures allow for the integration of Python code within Databricks SQL, combining Python's ease of use with Databricks SQL's powerful data processing capabilities. Users can now write, store, and execute Python scripts as part of their SQL workflows, making it easier to handle complex logic and automate routine tasks. In this talk, we'll cover the basics of creating and using these procedures, demonstrate their impact on data management, and discuss best practices for their implementation.

Talk By: Allison Wang, Sr. Software Engineer, Databricks ; Jakob Mund, Staff Product Manager, Databricks

Here's more to explore:
Why the Data Lakehouse Is Your next Data Warehouse: https://dbricks.co/3Pt5unq
Lakehouse Fundamentals Training: https://dbricks.co/44ancQs

Connect with us: Website: https://databricks.com
Twitter:   / databricks  
LinkedIn:   / data…  
Instagram:   / databricksinc  
Facebook:   / databricksinc  

On this page of the site you can watch the video online Supercharge Your Data Warehouse: Introducing Python Stored Procedures with a duration of hours minute second in good quality, which was uploaded by the user Databricks 23 July 2024, share the link with friends and acquaintances, this video has already been watched 334 times on youtube and it was liked by 2 viewers. Enjoy your viewing!

play_arrow
6,055
66

Разборный снегоход БЕЛКА 2

Разборный снегоход БЕЛКА 2
play_arrow
10,427
like

Let’s Draw Numberblocks: Number Twelve

Let’s Draw Numberblocks: Number Twelve
play_arrow
954
10

COSTEL ȘARAMBEL LACU BABEI 🎺05 03 2023

COSTEL ȘARAMBEL LACU BABEI 🎺05 03 2023
play_arrow
186
18

Blues Cover на Rag'n'bone Man

Blues Cover на Rag'n'bone Man

play_arrow
288
6

Взаимодействие аллельных генов. РЕШЕНИЕ ЗАДАЧ НА ГРУППЫ КРОВИ

Взаимодействие аллельных генов. РЕШЕНИЕ ЗАДАЧ НА ГРУППЫ КРОВИ
play_arrow
1,298,089
11K

AC 2 vs AC Brotherhood vs AC Revelations | Walking Animation

AC 2 vs AC Brotherhood vs AC Revelations | Walking Animation
play_arrow
913
7

Ai Limit: All Lost Bladers Battle

Ai Limit: All Lost Bladers Battle
play_arrow
71
5

Christian Oliver and his two daughters were killed

Christian Oliver and his two daughters were killed

Related
play_arrow
Mosaic AI Gateway - Secure and Govern your AI

Mosaic AI Gateway - Secure and Govern your AI
play_arrow
Data + AI Summit 2023

Data + AI Summit 2023
play_arrow
LLM Module 6: LLMOps | 6.7 Notebook Demo

LLM Module 6: LLMOps | 6.7 Notebook Demo
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.13.1 Notebook Demo Part 1

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.13.1 Notebook Demo Part 1
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.10 Task specific Evaluations

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.10 Task specific Evaluations
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.6 Fine Tuning: LLMs as a Service

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.6 Fine Tuning: LLMs as a Service
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.3 Applying Foundation LLMs

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.3 Applying Foundation LLMs
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.4 Fine Tuning: Few-shot Learning

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.4 Fine Tuning: Few-shot Learning
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.2 Module Overview

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.2 Module Overview
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.1 Introduction

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.1 Introduction
play_arrow
LLM Module 3 - Multi-stage Reasoning | 3.7.1 Notebook Demo Part 1

LLM Module 3 - Multi-stage Reasoning | 3.7.1 Notebook Demo Part 1
play_arrow
LLM Module 3 - Multi-stage Reasoning | 3.3 Prompt Engineering

LLM Module 3 - Multi-stage Reasoning | 3.3 Prompt Engineering
play_arrow
LLM Module 3 - Multi-stage Reasoning | 3.1 Introduction

LLM Module 3 - Multi-stage Reasoning | 3.1 Introduction
play_arrow
LLM Module 3 - Multi-stage Reasoning | 3.2 Module Overview

LLM Module 3 - Multi-stage Reasoning | 3.2 Module Overview
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.8.2 Notebook Demo Part 2

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.8.2 Notebook Demo Part 2
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.8.1 Notebook Demo Part 1

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.8.1 Notebook Demo Part 1
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.6 Best Practices

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.6 Best Practices
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.5 Vector Stores

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.5 Vector Stores
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.2 Module Overview

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.2 Module Overview
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.4 Filtering

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.4 Filtering
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.3 How does Vector Search work

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.3 How does Vector Search work
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.1 Introduction

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.1 Introduction
play_arrow
LLM Module 1 - Applications with LLMs | 1.8 Summary

LLM Module 1 - Applications with LLMs | 1.8 Summary
play_arrow
LLM Module 1 - Applications with LLMs | 1.9 Notebook Demo

LLM Module 1 - Applications with LLMs | 1.9 Notebook Demo