Start Data Engineering

SEPTEMBER 18, 2024

Introduction 2. Parts of data engineering 3.1. Requirements 3.1.1. Understand input datasets available 3.1.2. Define what the output dataset will look like 3.1.3. Define SLAs so stakeholders know what to expect 3.1.4. Define checks to ensure the output dataset is usable 3.2. Identify what tool to use to process data 3.3. Data flow architecture 3.

Project 240

Project Building Datasets Architecture 240

Engineering at Meta

MARCH 4, 2025

Shane sits down with Pascal Hartig to share how his team is building foundational models for the Ray-Ban Meta glasses. Shane and his team have been behind cutting edge AI research like AnyMAL , a unified language model that can reason over an array of input signals including text, audio, video, and even IMU motion sensor data.

Building 71

Building Programming Engineering Technology 71

Pinterest Engineering

MARCH 26, 2025

Personalization Stack Building a Gift-Optimized Recommendation System The success of Holiday Finds hinges on our ability to surface the right gift ideas at the right time. Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins.

Building 59

Building Engineering Algorithm Systems 59

Snowflake

APRIL 16, 2025

Welcome to Snowflakes Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. Im inspired by the idea of simplifying traditionally complex tasks like building robust data-driven applications and making them accessible to everyone. What inspires you as a founder? What inspires you as a founder?

Building 59

Building Raw Data Data Analysis Data Security 59

KDnuggets

JANUARY 3, 2025

Retrieval augmented generation (RAG) is altering the way we use large language models, but building these systems can be hectic. In this article, you will learn how to build RAG systems using Haystack.

Systems 131

Systems Building 131

WeCloudData

APRIL 9, 2025

Whether it’s for research, customer support, or general knowledge retrieval, a Retrieval-Augmented Generation system enhances traditional QA models […] The post Building a Question-Answering System Using RAG appeared first on WeCloudData.

Systems 52

Systems Building IT Data Science 52

KDnuggets

APRIL 11, 2025

Give your LLMs the extra ability to fetch live stock prices, compare them, and provide historical analysis by implementation tools within the MCP Server.

Building 128

Building 128

Cloudera

DECEMBER 17, 2024

The post Telco Enterprise Data Platforms: Key Success Factors in Building for an AI Future appeared first on Cloudera Blog.

Building 62

Building Telecommunication Data Architecture Architecture 62

Edureka

JANUARY 21, 2025

Building APIs Flask is often used to make RESTful APIs that let different apps talk to each other. RESTful APIs : Build APIs to serve data for frontend apps. Conclusion Flask is an ideal framework for developers seeking simplicity, flexibility, and control in building web applications. Is Flask Python or Django?

Python 52

Python Building Certification Database 52

KDnuggets

MARCH 19, 2025

By combining AI agents, you can build an application that not only answers questions and searches the internet but also performs computations and visualizes data effectively.

Building 113

Building Data 113

Striim

APRIL 22, 2025

In this webinar with BARC, a leading analyst firm for data & analytics and enterprise software, you’ll learn how to overcome these challenges and build the data backbone for AI/ML success. Gain actionable guidance to build scalable, resilient streaming pipelines that drive continuous innovation and measurable value.

Architecture 52

Architecture Data Architecture Building Datasets 52

ArcGIS

MARCH 3, 2025

Learn the secret of how the Migrate to Utility Network tool migrates any geodatabase to a utility network.

Utilities 108

Utilities Building Data Management Management 108

KDnuggets

APRIL 21, 2025

Enhance language models with real-time document retrieval and dynamic knowledge integration using retrieval-augmented generation and LlamaIndex.

Building 86

Building 86

The Pragmatic Engineer

OCTOBER 17, 2024

A €150K ($165K) grant, three people, and 10 months to build it. ” Like most startups, Spare Cores also made their own “expensive mistake” while building the product: “We accidentally accumulated a $3,000 bill in 1.5 We envision building something comparable to AWS Fargate , or Google Cloud Run.

Cloud 332

Cloud AWS Metadata Cloud Computing 332

The Pragmatic Engineer

MARCH 12, 2024

” Brooks agrees with this observation, and suggests a radical solution: have as few senior programmers as possible, and build a team around each one – a bit like how a hospital surgeon leads a whole team. A most interesting addition! The toolsmith. The tester. They come up with test cases and data.

Engineering 329

Engineering Programming Language Hospitality Programming 329

Data Engineering Weekly

DECEMBER 28, 2024

Enterprises are encouraged to experiment with AI, build numerous small-scale agents, learn from each, and expand their agent infrastructure over time. These platforms are instrumental in building the robust data infrastructure necessary to support the burgeoning field of AI agents.

Unstructured Data 113

Unstructured Data Metadata Data Government 113

Christophe Blefari

JANUARY 11, 2025

Over the past four weeks, I took a break from blogging and LinkedIn to focus on building nao. DeepSeek is a model trained by the Chinese company with the same name, they directly compete with OpenAI and all to build foundational models. Models news and tour DeepSeek-v3 — It entered the space with a bang.

Data 130

Data Data Warehouse Coding Programming Language 130

The Pragmatic Engineer

APRIL 21, 2024

A refresher on OpenAI, and on Evan Evan: how did you join OpenAI, and end up heading the Applied engineering group – which also builds ChatGPT? I do  not  have a PhD in Machine Learning, and was excited by the idea of building APIs and engineering teams. With this, it’s over to Evan. My questions are in italic.

Engineering 363

Engineering Software Engineer Software Engineering Programming 363

The Pragmatic Engineer

OCTOBER 10, 2023

He’s solved interesting engineering challenges along the way, too – like building observability for Amazon’s EC2 offering, and being one of the first engineers on Uber’s observability platform. The focus seemed to shift to: invent something new → build a service for it → ship it.

Software Engineer 327

Software Engineer Software Engineering Architecture Media 327

Scott Logic

MARCH 6, 2025

If I simply ask it to build a word guessing game for me, it very rapidly builds something. Going ahead and building something based on this requirement would be a futile exercise. As a result, you can very rapidly build completely the wrong thing. LLMs have a subtle, yet more dangerous weakness their lack of awareness.

Coding 104

Coding Building Utilities Programming 104

The Pragmatic Engineer

MAY 11, 2023

Prometheus is part of the Cloud Native Foundation, membership of which indicates that it’s safe to build on top of Prometheus, as it’s actively maintained and will continue to be. However, you would need to hire and staff a dedicated engineering team to build and run that infra. But why is this? What happens next?

AWS 347

AWS Software Engineer Software Engineering Google Cloud 347

Snowflake

MARCH 31, 2025

Many enterprises are already using Container Runtime to cost-effectively build advanced ML use cases with easy access to GPUs. CHG builds and productionizes its end-to-end ML models in Snowflake ML. Keysight builds scalable sales and forecasting models in Snowflake ML with Container Runtime. With over $5.5

Healthcare 96

Healthcare Medical Government Food 96

The Pragmatic Engineer

SEPTEMBER 26, 2023

This means more repositories are needed, which are fast enough to build and work with, but which increase fragmentation. Executing a build is much slower while on a call. Plus, a CPU and memory-intensive build can impact the quality of the video call, and make the local environment much less responsive.  Larger codebases.

Cloud 316

Cloud Software Engineer Software Engineering Cloud Computing 316

Snowflake

JANUARY 27, 2025

Consequently, over the years, our test collateral grew unchecked, the development environment became increasingly intricate and build and test times slowed down significantly, negatively impacting developer productivity. Transparency helps build customer trust and keeps feedback flowing.

Programming Language 93

Programming Language Coding Cloud Systems 93

Snowflake

NOVEMBER 11, 2024

At Snowflake BUILD , we are introducing powerful new features designed to accelerate building and deploying generative AI applications on enterprise data, while helping you ensure trust and safety. These scalable models can handle millions of records, enabling you to efficiently build high-performing NLP data pipelines.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

dbt Developer Hub

APRIL 20, 2025

We expect that over the coming years, structured data is going to become heavily integrated into AI workflows and that dbt will play a key role in building and provisioning this data. We are committed to building the data control plane that enables AI to reliably access structured data from across your entire data lineage.

Structured Data 98

Structured Data SQL BI Project 98

Snowflake

JANUARY 15, 2025

Y Combinator founder Paul Graham advises startup founders to live in the future, then build whats missing. Insights from these candid conversations laid the foundation for Startup 2025: Building a Business in the Age of AI, the AI startup report that Snowflake is publishing today. And dont burn too much cash while youre at it.

Programming 104

Programming Building Cloud Management 104

The Pragmatic Engineer

SEPTEMBER 22, 2023

Bun was mostly built by Jared Sumner , a former Stripe engineer, and recipient of the Thiel Fellowship (a grant of $100,000 for young people to drop out of school and build things, founded by venture capitalist, Peter Thiel). Technological innovation rarely happens in a vacuum; it builds on previous technologies. world by storm.

Programming Language 316

Programming Language Project Coding Engineering 316

The Pragmatic Engineer

MARCH 19, 2024

A first, smaller wave of these stories included Magic.dev raising $100M in funding from Nat Friedman (CEO of GitHub from 2018-2021,) and Daniel Gross (cofounder of search engine Cue which Apple acquired in 2013,) to build a “superhuman software engineer.” And COBOL was just one of many attempts.

Software Engineer 327

Software Engineer Software Engineering Programming Language Media 327

The Pragmatic Engineer

SEPTEMBER 28, 2023

Willem Spruijt is a software engineer whom I worked on the same team with at Uber in Amsterdam, building payments systems. Going from idea, to adding, to building and shipping this to all customers, is something you rarely see in bigger companies. We cover one out of four topics in today’s subscriber-only The Pulse issue.

Software Engineer 314

Software Engineer Software Engineering Engineering Building 314