KDnuggets

NOVEMBER 29, 2024

Working with large datasets is common but challenging. Here are some tips to make working with such large datasets in Python simpler.

Datasets 140

Datasets Python 140

RandomTrees

NOVEMBER 29, 2024

Considering how most industries have rapidly evolved thanks to technology, upgrading grids has been of utmost importance for utility companies out there. With the increasing demand for energy and renewable energy transition progressing forward, the older grid systems fall behind because they cannot meet the efficiency, reliability, and sustainability targets.

Utilities 52

Utilities Big Data Algorithm Finance 52

KDnuggets

NOVEMBER 29, 2024

Black Friday is finally here, and so are huge savings for your machine learning journey!

Machine Learning 123

Machine Learning 123

Hevo

NOVEMBER 29, 2024

Data is everywhere. We make huge amounts of data every day from our social media interactions to the things we buy online. According to expert predictions, data will globally surpass 175 zettabytes by 2025, a figure that is nearly unfathomable.

Data Analysis 40

Data Analysis Data Analytics Media Data 40

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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

Data Pipeline

KDnuggets

NOVEMBER 29, 2024

This is a collection of the 10 most frequently used Conda commands that every data scientist, machine learning engineer, or Python developer should have at their fingertips.

Data Science 116

Data Science Machine Learning Python Data 116

The Pragmatic Engineer

NOVEMBER 29, 2024

The last 12 months, The Pragmatic Engineer covered a variety of deepdives, revealing previously unshared details like: * What Stripe's engineering culture is like * The architecture evolution of Bluesky * How the ChatGPT scaled to meet demand * How Anthropic builds products * How and why hardware startup Oxide built two new computers from

Engineering 146

Engineering Architecture Building Computer Science 146

Hevo

NOVEMBER 29, 2024

With so many data integration tools available these days, it can become very overwhelming to choose one that best suits your needs. Here in this blog post, I have broken down an all-comprehensive comparison of two leading platforms: Airbyte VS Stitch.  So, let’s get into the main discussion.

Data Integration 52

Data Integration Data Data Pipeline IT 52

Hevo

NOVEMBER 29, 2024

When searching for a reliable data integration platform, many options might cross your mind. However, Hevo Data stands out as a no-code, fully managed solution. Recognized in G2’s Fall 2021 report, Hevo delivers unmatched ease of use, setup simplicity, and comprehensive support.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Integration 40

Hevo

NOVEMBER 29, 2024

An ETL tool, which has become the critical choice for any organization today, is tied directly to the ever-growing importance of data integration. However, both Matillion and Talend are among the most used ETL tools, providing different functionalities suited to different business needs.

ETL Tools 40

ETL Tools Data Integration IT Data 40

Hevo

NOVEMBER 29, 2024

Databricks is a well-known cloud-based data engineering, processing, and analytics platform. One of its key functions is DATEDIFF(date_diff()) used by data professionals widely. The DATEDIFF function in Databricks is very helpful in analyzing time-based data. Using this function helps the user do complex operations like finding time differences between two date values.

Data Engineering 40

Data Engineering Data Engineer Cloud Engineering 40

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.

Data