Sat.Nov 23, 2024 - Fri.Nov 29, 2024

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What Nobody Tells You About Deploying GenAI

Precisely

Large Language Models (LLMs) became popular after the release of ChatGPT two years ago. The idea of chatting with an AI through a browser significantly reduced the technical barriers, making LLMs the fastest-growing platform globally. Since then, ChatGPT-like applications have surged in popularity, driven by their ease of use and groundbreaking innovations.

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Top 10 Data Engineering & AI Trends for 2025

Monte Carlo

According to industry experts, 2024 was destined to be a banner year for generative AI. Operational use cases were rising to the surface, technology was reducing barriers to entry, and general artificial intelligence was obviously right around the corner. So… did any of that happen? Well, sort of. Here at the end of 2024, some of those predictions have come out piping hot.

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Trending Sources

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Cloud Data Warehouse Migrations: Success Stories from WHOOP and Nexon

Snowflake

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. For organizations considering moving from a legacy data warehouse to Snowflake, looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or assessing new options if your current cloud data warehouse just isn’t scaling anymore, it helps to see how others have done it.

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PSPO Study Guide: The Best Plan to Crack PSPO Exam 2025

Knowledge Hut

Scrum is a quality-driven process for producing excellent business outcomes. Organizations are looking for professional product owners that grasp this notion and can use it in the real world. Employers use many credentialing services to certify levels of comprehension and application by level, which are referred to as belts. Scrum training sessions, along with resources like a PSPO study guide, assist you in learning PSPO I principles, studying efficiently and effectively to pass your exam, adva

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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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Data Engineering Weekly #198

Data Engineering Weekly

Editor’s Note: Launching Data & Gen-AI courses in 2025 I can’t believe DEW will reach almost its 200th edition soon. What I started as a fun hobby has become one of the top-rated newsletters in the data engineering industry. All credit goes to the incredible data engineering community, where people are constantly writing and sharing their knowledge with the community.

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Generative AI and Its Role in Innovation for Telecom Services

RandomTrees

The telecommunication industry is transforming greatly in this modern time and age because of changes in the digital revolution. The scope of telecom services is growing in size and complexity, owing to technologies such as 5G, the Internet of Things (IoT), and cloud technology. And one technology that has potential to transform the telecom sector is Generative AI , or GAI, which lies in the focus of creating new things, be it content, ideas or solutions.

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Deep Dive into Handling Consumer Fetch Requests: Kafka Producer and Consumer Internals, Part 4

Confluent

In the final article of this four-part series on Kafka producer and consumer internals, observe the inner workings of brokers as they attempt to serve data up to consumers.

Kafka 133
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Booting Databricks VMs 7x Faster for Serverless Compute

databricks

The Databricks Serverless compute infrastructure launches and manages millions of virtual machines (VMs) each day across three major cloud providers, and it is.

Cloud 124
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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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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.

Datasets 140
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Introducing the New Anthropic PDF Processing API

Towards Data Science

Anthropic Claude 3.

Process 75
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Build an Autonomous AI Assistant with Mosaic AI Agent Framework

databricks

Large language models are revolutionizing how we interact with technology by leveraging advanced natural language processing to perform complex tasks. In recent years.

Building 116
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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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Build a Data Science App with Python in 10 Easy Steps

KDnuggets

Learn how to build a data science app with Python, using Scikit-Learn and FastAPI, one step at a time.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Engineering the Future: Common Threads in Data, Software, and Artificial Intelligence

Towards Data Science

How recognizing cross-discipline commonalities not only enhances recruitment strategies but also supports adaptable IT architectures.

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Empowering Business Users with Self-Service Data Intelligence

databricks

Introduction Data is power. According to McKinsey, "Banks own more customer data than companies in most other industries, but they are behind many.

Banking 115
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Hexagonal Architecture: A Practical Guide

Booking.com Engineering

All you need to know for a quick start with Domain DrivenDesign Created using DALLE In todays fast-paced development environment, organising code effectively is critical for building scalable, maintainable, and testable applications. While many developers rely on layered architecture, this often leads to challenges with tight coupling, domain leakage, and difficulty in testing.

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What I Actually Do As a Data Scientist (in 2024)

KDnuggets

Here’s what it takes to become a successful data scientist in 2024.

Data 129
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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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Portioning Recipes, Reducing Waste: How Picnic Simplifies Your Cooking Journey

Picnic Engineering

Cooking a family meal can be an adventure, can’t it? Picture this: the Smiths, a family of four, are planning a cozy Friday dinner. Excited chatter fills the living room as they browse for recipes. “Let’s make pasta with garlic bread,” suggests little Emma. Dad adds, “And a salad to keep it balanced.” After a consensus is reached, they head to the supermarket, revising their list along the way to make sure nothing is missed.

Food 40
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Tealium and Databricks: Providing Real-Time Insights and AI-Driven Customer Experiences

databricks

In today's rapidly changing digital world, consumer data protection and privacy regulations are reshaping how businesses interact with their customers. These changes can.

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Building the Future of Content: Inside Booking.com’s Intelligent Content Enrichment Platform

Booking.com Engineering

AI-Powered Content Discover the system architecture that enables seamless content enrichment across Booking.com. Intro Oh, the sweet nineties. Back then, the internet had only simple <img> tags for pictures, and booking your summer vacation meant calling a random hotel and hoping for the best. Its now 2024, and both things have become much smarter.

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5 Unconventional Sources of Data for Your Next Project

KDnuggets

When working on a project, think beyond traditional data sources. Explore unconventional options like social media and user-generated content for fresh insights.

Project 126
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Apache Airflow® Best Practices: 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!

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Striim & Morrisons: Customer Testimonial

Striim

View Case Study Read Blog Post

Data 40
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How automated workflows are revolutionizing the manufacturing industry

databricks

For today’s manufacturers, streamlined and automated workflows are crucial for overcoming challenges such as manual data management and equipment downtime. By leveraging automated.

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Data for Good: Ending the Data Disparity Deepening Global Inequality

Snowflake

The Horn of Africa is experiencing a catastrophic drought. Five rainy seasons in a row have failed — and experts predict a sixth. Millions of desperate people in Ethiopia, Kenya and Somalia have abandoned their homes in search of water and pasture. This crisis is a huge challenge for already taxed government organizations. Where should limited resources be deployed?

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Massive Black Friday Deals for Machine Learning Fans!

KDnuggets

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

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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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Which IDEs do software engineers love, and why?

The Pragmatic Engineer

It’s been nearly 6 months since our research into which AI tools software engineers use, in the mini-series, AI tooling for software engineers: reality check. At the time, the most popular tools were ChatGPT for LLMs, and GitHub copilot for IDE-integrated tooling. Then this summer, I saw the Cursor IDE becoming popular around when Anthropic’s Sonnet 3.5 model was released, which has superior code generation compared to ChatGPT.

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Xcel Energy: Developing a RAG-based Chatbot on Databricks

databricks

"We are delving deeper into the capabilities of MLFlow tracing. This functionality will be instrumental in diagnosing performance issues and enhancing the quality.

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Share and Monetize AI Models Securely on the AI Data Cloud

Snowflake

The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.

Cloud 105
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Effectively Using Cursor for 10x Coding

KDnuggets

Learn how to utilize this advanced AI-driven IDE for your work.

Coding 123
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.