Fri.Mar 28, 2025

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7 GitHub Projects to Master Machine Learning

KDnuggets

Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.

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Vector Technologies for AI: Extending Your Existing Data Stack

Simon Späti

The database landscape has reached 394 ranked systems across multiple categoriesrelational, document, key-value, graph, search engine, time series, and the rapidly emerging vector databases. As AI applications multiply quickly, vector technologies have become a frontier that data engineers must explore. The essential questions to be answered are: When should you choose specialized vector solutions like Pinecone, Weaviate, or Qdrant over adding vector extensions to established databases like Post

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Foundation Model for Personalized Recommendation

Netflix Tech

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. (Refer to our recent overview for more details). However, as we expanded our set of personalization algorithms to meet increasing business needs, maintenance of the recommender system became quite costly.

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Unleashing GenAI — Ensuring Data Quality at Scale (Part 2)

Wayne Yaddow

Unleashing GenAIEnsuring Data Quality at Scale (Part2) Transitioning from individual repository source systems to consolidated AI LLM pipelines, the importance of automated checks, end-to-end observability, and compliance with enterprise businessrules. T Introduction There are several opportunities (and needs!) to improve operational effectiveness and analytical capacity when integrating data repository systems for AI Large Language Model (LLM) pipelines.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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The Future of Reliable Data + AI—Observing the Data, System, Code, and Model

Monte Carlo

AI can do a lot these days. At this very moment, an army of SaaS companies are hard at work infusing AI assistants and copilots into every horizontal B2B workflow currently known to humankind. ChatGPT can summarize the web to help sales prospects. Gemini can polish Google documents for research teams. GitHub copilot can even code alongside you like your own pocket-sized Steve Wozniak.

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An IBM Z Data Integration Success Story

Precisely

In today’s fast-paced digital world, maintaining high standards and addressing contemporary requirements is crucial for any company. One of our customers, a leading automotive manufacturer, relies on the IBM Z for its computing power and rock-solid reliability. However, they faced a growing challenge: integrating and accessing data across a complex environment.

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dbt on Databricks

Confessions of a Data Guy

Running dbt on Databricks has never been easier. The integration between dbtcore and Databricks could not be more simple to set up and run. Wondering how to approach running dbt models on Databricks with SparkSQL? Watch the tutorial below. The post dbt on Databricks appeared first on Confessions of a Data Guy.

Data 100
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Serving Qwen Models on Databricks

databricks

Qwen models, developed by Alibaba, have shown strong performance in both code completion and instruction tasks. In this blog, well show how you can register.

Coding 81
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Poles of Inaccessibility

ArcGIS

Poles of inaccessibility are the locations furthest from the coast in land masses or the ocean.

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How the Singapore Government is Building Agility to Enhance Citizen Services with IMDA’s Tech Acceleration Lab and the Government Commercial Cloud+

Confluent

Singapore's Tech Acceleration Lab helps other government agencies modernize by onboarding them to a streaming-capable government cloud, which features Confluent as a key vendor.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Optimizing Snowflake Serverless Tasks

Cloudyard

Read Time: 3 Minute, 56 Second Snowflake’s S erverless Tasks are designed to automate workflows without requiring a dedicated warehouse. Instead, Snowflake dynamically allocates compute resources based on workload demands, making it a cost-effective and scalable solution for scheduling data transformations, ELT processes, and real-time analytics.

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A decade of scaling (real-time) analytics and master data at Picnic

Picnic Engineering

TL;DR Over the past decade, Picnic transformed its approach to dataevolving from a single, all-purpose data team into multiple specialized teams using a lean, scalable tech stack. We empowered analysts by giving them access and training to the same tools as engineers, dramatically increasing speed and impact. Our investments in a lakeless data warehouse, modern analytics platform, and strong master data practices have made data a core strategic capability.

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High resolution data updates to Living Atlas World Elevation Layers (March 2025)

ArcGIS

In March 2025, esri elevation layers have been updated with lidar derived DTMs of New Zealand and USA along with bathymetry of Australia.

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Cloud Computing

WeCloudData

The word cloud may evoke images of fluffy white shapes in the sky, right? But in the tech world, it represents the backbone of modern innovation. Cloud computing is an essential technology that powers everything from social media platforms to enterprise applications. Cloud computing is the on-demand delivery of computing resources, such as servers, storage, […] The post Cloud Computing appeared first on WeCloudData.

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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.