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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding?

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Managing Uber’s Data Workflows at Scale

Uber Engineering

At Uber’s scale, thousands of microservices serve millions of rides and deliveries a day, generating more than a hundred petabytes of raw data. Internally, engineering and data teams across the company leverage this data to improve the Uber experience.

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New Fivetran connector streamlines data workflows for real-time insights

ThoughtSpot

The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. And even when we manage to streamline the data workflow, those insights aren’t always accessible to users unfamiliar with antiquated business intelligence tools.

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Polars for Pandas Users: A Blazing Fast DataFrame Alternative

KDnuggets

Learn how to migrate from Pandas to Polars with practical examples, side-by-side code comparisons, and strategies to unlock performance improvements on your existing data workflows.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0

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11 Data Engineering Best Practices To Streamline Your Data Workflows

ProjectPro

These practices are crucial for building robust and scalable data pipelines, maintaining data quality, and enabling data-driven decision-making. Let us dive into some of the crucial best practices for data engineering that data engineers must implement in their data workflows and projects.

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AI-First Google Colab is All You Need

KDnuggets

Let's take a closer look at Google Colab's new AI features, and find out how you can use them to increase your daily data workflow productivity.

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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

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. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0