Fri.May 09, 2025

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7 Python Debugging Techniques Every Beginner Should Know

KDnuggets

Learn these 7 debugging moves and youll laugh at your old error messages.

Python 75
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Behind the Scenes: Building a Robust Ads Event Processing Pipeline

Netflix Tech

Kinesh Satiya Introduction In a digital advertising platform, a robust feedback system is essential for the lifecycle and success of an ad campaign. This system comprises of diverse sub-systems designed to monitor, measure, and optimize ad campaigns. At Netflix, we embarked on a journey to build a robust event processing platform that not only meets the current demands but also scales for future needs.

Process 73
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Sol Rashidi on Why Most AI Strategies Fail—and What Great Data Leaders Get Right

Striim

Get More Insights In Your Inbox Sol Rashidi has built AI, data, and digital strategies inside some of the worlds biggest companiesand shes seen the same mistakes play out again and again. In this episode, she unpacks why AI initiatives often stall, how executives misread what transformation really requires, and why the future of AI success isnt technicalits cultural.

Data 52
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Snowflake Invests in Theom to Automate Data Protection

Snowflake

In today's complex enterprise environments, managing data security is a daunting challenge. Organizations are grappling with a growing number of data stores, data sharing, increasing use of data for AI and increasingly sophisticated threats. This complexity necessitates a shift toward automated, AI-driven solutions that simplify security governance and accelerate threat detection.

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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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Stream ServiceNow Data to Google BigQuery

Striim

Introduction This recipe shows how you can build a data pipeline to read data from ServiceNow and write to BigQuery. Striim’s ServiceNow Reader will first read the existing tables from the configured ServiceNow dataset and then write them to the target BigQuery project using the BigQuery Writer, a process called “initial load” in Striim and “historical sync” or “initial snapshot” by others.

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6 Real-World ETL Use Cases with Estuary Flow

Seattle Data Guy

After working in data for over a decade, one thing that remains the same is the need to create data pipelines. Whether you call them ETLs/ELTs or something else, companies need to move and process data for analytics. The question becomes how companies are actually building their data pipelines. What ETL tools are they actually… Read more The post 6 Real-World ETL Use Cases with Estuary Flow appeared first on Seattle Data Guy.

ETL Tools 130

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Custom Python Decorator Patterns Worth Copy-Pasting Forever

KDnuggets

Tired of rewriting boilerplate code? These copy-ready custom decorators are reusable patterns that belong in every developers toolkit.

Python 82
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Top 3 AI Problems to Solve In 2025

Monte Carlo

Data + AI leaders have the unique joy of hearing everything going wrong with their data + AI initiative. The lake is a swamp! Tokens are spent! Agents are hallucinating! It can be easy to get sucked into the daily grind and pinpoint problem solving. That is what makes events like Gartner Town Halls and their Chief Data and Analytics Officer Roundtables so valuable.

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Artificial Intelligence Optimization (AIO)

WeCloudData

Artificial intelligence optimization (AIO) is the search engine optimization powered by Generative AI tools like ChatGPT, Gemini, Perplexity, Claude, Microsoft Copilot, and many more. In the data-driven digital world where content is king, AIO offers improve user experience, decision-making, and digital growth. In this article, we’ll explain AIO, how it works, and why it’s the […] The post Artificial Intelligence Optimization (AIO) appeared first on WeCloudData.

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Selenium RC vs WebDriver: Key Differences and Use Cases

Edureka

A well-known brand in the test automation space is Selenium. But not everybody knows what its different parts are and how they changed over time. A key element in the early phases of Selenium’s development was the Selenium Remote Control (RC). However, is Selenium RC still applicable today? What is the difference between Selenium RC vs WebDriver?

Java 40
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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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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Top 10 API Testing Tools in 2025: Best Picks for Efficient Testing

Edureka

What is an API? An API, or Application Programming Interface, lets two or more software systems or parts talk to each other. APIs make certain data and functions available while hiding the depth inside. They are usually divided into three groups: REST, SOAP, and GraphQL. Each group uses a different set of communication methods. REST APIs use HTTP requests to GET, PUT, POST, or DELETE data.

Java 40
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Mastering Anomaly Detection in Power BI: Techniques & Applications

Edureka

In today’s world of data, organizations are highly dependent on usable, timely insights to make good decisions. One type of insight that is important and is of interest is anomalies or outliers in data. Anomalies can be useful for a variety of use cases. For example, detecting fraud in financial transactions, problems in the manufacturing process, and abnormal user behavior time series web analytics are all potential use cases for anomaly detection in modern Business Intelligence.

BI 40