Wed.Dec 11, 2024

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How to Build a Text Classification Model with Hugging Face Transformers

KDnuggets

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Databricks and AWS: The Partnership That Took re:Invent 2024 by Storm

databricks

What makes a great partnership? For Databricks and AWS, its not just about building togetherits about helping businesses succeed together. At AWS re:Invent.

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The Impact of Generative AI on Media and Advertising

RandomTrees

Generative AI, the most recent advancement of artificial intelligence is changing media and advertising for the better. As such, machines can analyze and optimize content without human intervention; therefore, there is a huge shift in how brands engage with their customers. Whether through hyper-personalized ads or automated content production, Generative AI in Advertising is rapidly becoming the cornerstone of most marketing strategies.

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Introducing Databricks Generative AI Partner Accelerators and RAG Proof of Concepts

databricks

In todays rapidly evolving technology landscape, generative artificial intelligence (GenAI) is revolutionizing the way organizations work and is opening up new worlds of.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Overcoming AI Implementation Challenges: Lessons from Early Adopters

KDnuggets

50
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Innovators Unveiled: Announcing the Databricks Generative AI Startup Challenge Winners!

databricks

We are pleased to announce the winners of the Databricks Generative AI Startup Challenge , a competition held in collaboration with AWS to.

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Extracting DMF Details Across Schemas

Cloudyard

Read Time: 1 Minute, 52 Second In a data-driven world, maintaining data quality is paramount for organizations. Snowflake provides a powerful mechanism to assess and ensure data quality using Data Metric Functions (DMFs). These functions enable administrators to evaluate data in tables based on pre-defined or custom metrics. Large organizations often deal with vast datasets spread across multiple tables and schemas.

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Understanding AI with SAS

KDnuggets

47
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AI in Sports: The Data-Driven Game Plan for Success

Snowflake

40
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How to Use ThoughtSpot For Data Engineer USER

phData: Data Engineering

A data engineers primary role in ThoughtSpot is to establish data connections for their business and end users to utilize. They are responsible for the design, build, and maintenance of the data infrastructure that powers the analytics platform. In this blog, we will cover the essentials around how to connect to popular data connections in ThoughtSpot, data modeling, and setting up your business users for success.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Prioritization: The Pivot Point from POC to Production

Snowflake

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Integrating Extensions into Large-Scale iOS apps

Lyft Engineering

Written by Artur Stepaniuk and MaxHusar Today, when you open Apple Maps and choose a destination, you are able to see a list of available Lyft offers, seamlessly routing you to the Lyft app to book your next ride. To create this fluid and user-friendly experience across the iOS ecosystem, however, engineers must tackle a range of technical challenges, from managing dependencies in a highly modular application to optimizing performance while maintaining a high quality user experience.

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