Wed.May 29, 2024

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5 Python Best Practices for Data Science

KDnuggets

Level up your Python skills for data science with these by following these best practices.

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What’s New in ArcGIS Roads and Highways and ArcGIS Pipeline Referencing (May 2024)

ArcGIS

The latest release of ArcGIS Roads and Highways and ArcGIS Pipeline Referencing includes a variety of new and enhanced features.

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Snowflake Ventures Increases Investment in Hex, Deepening the Partnership for Collaborative Workspace Capabilities in the Data Cloud  

Snowflake

The AI Data Cloud unlocks the power of data for technical and non-technical users alike, including data analysts, data scientists, data engineers and business users. When employees can collaborate seamlessly to generate new insights, share findings and create efficient workflows, organizations can drive even more efficiency, unlocking value from their data, faster.

Cloud 113
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What’s New from the Geodatabase Team in ArcGIS Pro 3.3

ArcGIS

Here's everything new in ArcGIS Pro 3.3 from the Geodatabase Team.

Data 135
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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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Retail Media’s Business Case for Data Clean Rooms Part 2: Commercial Models

Snowflake

In Part 1 of “Retail Media’s Business Case for Data Clean Rooms,” we discussed how to (1) assess your data assets and (2) define your data structures and permissions. Once you have a plan on paper, you can begin sizing the data clean room opportunity for your business. Step 3: Commercial Models to Unlock Revenue at Scale Modeling the business value comes down to two things: (1) What data are you making accessible; and (2) How many partners are you willing (and able) to engage?

Retail 105
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From Data to Destinations: How Skyscanner Optimizes Traveler Experiences with Databricks Unity Catalog

databricks

This blog is authored by Michael Ewins, Director of Engineering at Skyscanner At Skyscanner , we're more than just a flight search engine.

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Solving the Dual-Write Problem: Effective Strategies for Atomic Updates Across Systems

Confluent

The dual-write problem can arise in any distributed system. Fortunately, it has solutions in event sourcing & the transactional outbox & listen-to-yourself patterns.

Systems 94
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The Ultimate Guide to Snowflake Data Cloud Summit 2024

Monte Carlo

Can you believe Snowflake Summit is almost here? Time really flies when you’re living in the GenAI hype cycle. If you’ll be at Snowflake Summit in San Francisco June 3-6 and you haven’t planned your daily schedule yet, never fear. We bookmarked the can’t miss moments for you. Read on to learn the speaking sessions we’re most excited about, the giveaways on the conference floor that are actually pretty cool, and the after-parties you don’t want to miss.

Cloud 69
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Evaluating Large Language Models with Giskard in MLflow

databricks

Over the last few years, Large Language Models (LLMs) have been reshaping the field of natural language, thanks to their transformer-based architectures and.

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Generative AI on Architecture Diagram Creation

RandomTrees

In the contemporary digital landscape , this process involves creating a comprehensive solution that processes images from a specified webpage, converts the visual content into interpretable text or code using advanced large language models, and then transforms the generated text or code into an editable diagram by leveraging a diagram creation platform.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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How Confluent Champion Zhibo Takes on Difficult Sales Conversations

Confluent

Learn how Confluent Champion Zhibo helps APAC customers uncover hidden data problems in his role as an account executive in Japan.

Data 52
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20 Best Datasets for Data Visualization

Knowledge Hut

The choice of datasets is crucial for creating impactful visualizations. Demographic data, such as census data and population growth, help uncover patterns and trends in population dynamics. Economic data, including GDP and employment rates, identify economic patterns and business opportunities. Environmental data, like climate change and pollution levels, contribute to scientific research and policy formulation and so on.