Fri.Nov 29, 2024

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The Pragmatic Engineer in 2024

The Pragmatic Engineer

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

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Turkey Day Is Here – Black Friday Sale – %50 Off

Confessions of a Data Guy

Well, another turkey day has come upon us all. I trust you are getting at least a day or two off from your overlords from writing code and taking names. While the rest of you will be slicing up that turkey with your friends and family, clinking your glasses and giving toasts to each other, […] The post Turkey Day Is Here – Black Friday Sale – %50 Off appeared first on Confessions of a Data Guy.

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Tips for Handling Large Datasets in Python

KDnuggets

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

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Grid Modernization with AI for More Connected Utilities

RandomTrees

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.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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10 Essential Conda Commands for Data Science

KDnuggets

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.

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Airbyte vs Stitch: 5 Core Comparisons with Use Cases

Hevo

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.

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Do You Really Need Hevo Alternatives? There Are None. Reasons Why The Best Data Engineers Love Hevo!

Hevo

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.

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Matillion vs Talend: Which ETL Tool Should you Choose? 

Hevo

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.

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Data Analytics vs Data Analysis: How to Choose the Right Approach for Insight-Driven Decisions

Hevo

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.

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Databricks DATEDIFF Function

Hevo

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.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!