From Idea to UI in Seconds: Meet OpenUI!
KDnuggets
APRIL 17, 2025
From idea to prototype in seconds — OpenUI lets you build, edit, and export UIs using just natural language. No design skills required!
KDnuggets
APRIL 17, 2025
From idea to prototype in seconds — OpenUI lets you build, edit, and export UIs using just natural language. No design skills required!
databricks
APRIL 17, 2025
Today, we are thrilled to welcome the Fennel team to Databricks.
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KDnuggets
APRIL 17, 2025
These oddball Python functions might seem pointless. until you realize how surprisingly useful they really are.
Snowflake
APRIL 17, 2025
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.
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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
Monte Carlo
APRIL 17, 2025
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.
Snowflake
APRIL 17, 2025
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.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Snowflake
APRIL 17, 2025
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.
WeCloudData
APRIL 17, 2025
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.
Edureka
APRIL 17, 2025
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.
Edureka
APRIL 17, 2025
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.
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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