Thu.Apr 17, 2025

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From Idea to UI in Seconds: Meet OpenUI!

KDnuggets

From idea to prototype in seconds — OpenUI lets you build, edit, and export UIs using just natural language. No design skills required!

Designing 119
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Fennel Joins Databricks to Democratize Access to Machine Learning

databricks

Today, we are thrilled to welcome the Fennel team to Databricks.

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7 “Useless” Python Standard Library Functions You Should Know

KDnuggets

These oddball Python functions might seem pointless. until you realize how surprisingly useful they really are.

Python 109
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SnowparkでのUDFとストアドプロシージャを介したPyPIパッケージへのアクセス

Snowflake

SnowparkPythonSnowpark PythonAnacondaPython Package IndexPyPI Snowpark PythonPython Package IndexPyPIPythonSnowpark PythonUDFSnowflake Anaconda60PythonPyPI SnowflakePython SnowflakePyPISnowparkUDFPyPIUDF Snowflake SnowflakeSnowparkUDFPyPI PyPIwhl PyPI.whlx86 CPU Snowpark UDF SnowflakePython pip ARTIFACT_REPOSITORY_PACKAGESSnowflakePyPISNOWFLAKE.SNOWPARK.

Python 52
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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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Monte Carlo Launches Observability Agents To Accelerate Data + AI Monitoring and Troubleshooting

Monte Carlo

The industry’s first-ever observability agents help data + AI teams find and fix issues faster with AI-driven detection and resolution workflows. SAN FRANCISCO, April 17, 2025 – – Monte Carlo , the leading data + AI observability platform, announced the launch of observability agents , a suite of AI agents built to accelerate monitoring and troubleshooting workflows to improve data + AI reliability.

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Access PyPI Packages in Snowpark via UDFs and Stored Procedures

Snowflake

For developers, data engineers and data scientists using Snowpark, one of the biggest challenges has been accessing the Python packages they need and managing dependencies for packages uploaded on stage. While Snowpark Python already supports Anaconda packages and custom packages, the lack of direct access to the vast ecosystem of the Python Package Index (PyPI) has meant extra steps for managing dependencies and working around limitations.

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How Public Sector & Healthcare Leaders Use Data and AI | Accelerate 2025

Snowflake

Snowflakes Accelerate 2025 virtual event series offers a crucial opportunity for public sector and healthcare and life sciences organizations to learn how to overcome data hurdles and unlock the full potential of AI. These industry-specific events are ideal for IT professionals and leaders who want to build robust data foundations and accelerate their AI initiatives within the parameters of highly regulated industries.

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Cloud Governance

WeCloudData

Cloud computing is the foundation of modern infrastructure and technology. With the growing shift toward the cloud, the challenges of managing security, compliance, costs, and operational efficiency are also increasing. Cloud Governance provides the framework for effective, secure, and compliant cloud environments while maximizing the benefits of cloud computing.

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Microsoft Fabric vs. Databricks

Edureka

In the era of data-intensive business, organizations are continuously on the lookout for platforms that reduce analytics complexity, handle huge volumes of data workloads, and facilitate AI/ML breakthroughs. Among the two leading platforms in the market today are Microsoft Fabric and Databricks. Though both provide end-to-end capabilities of data integration, analysis, and visualization, each serves a diverse set of organizational requirements and tech inclinations.

BI 52
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Prince2 Foundation and Practitioner: What are the differences?

Edureka

When exploring project management credentials, many professionals wonder what the difference is between PRINCE2 Foundation and Practitioner. If you have come across the PRINCE2 foundation vs practitioner dispute, you are not alone. These two levels of certification serve distinct functions, and understanding how they differ might help you select the best one for your career objectives.

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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.