The Pragmatic Engineer

JULY 20, 2023

In this issue, we cover: How Akita was founded On cofounders Raising funding Pivoting and growing the company On hiring The tech stack The biggest challenges of building a startup For this article, I interviewed Jean directly. So we started to build API specs on top of our API security product. We pivoted to API observability in 2020.

Building 208

Building Programming Language Programming Python 208

Engineering at Meta

MARCH 12, 2024

By the end of 2024, we’re aiming to continue to grow our infrastructure build-out that will include 350,000 NVIDIA H100 GPUs as part of a portfolio that will feature compute power equivalent to nearly 600,000 H100s. RSC has accelerated our open and responsible AI research by helping us build our first generation of advanced AI models.

Building 145

Building Portfolio Utilities Data Storage 145

KDnuggets

JULY 29, 2024

Learn to build the end-to-end data science pipelines from data ingestion to data visualization using Pandas pipe method.

Data Science 153

Data Science Building Data Ingestion Data 153

Data Engineering Podcast

OCTOBER 1, 2023

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. How can you get the best results for your use case?

Building 162

Building BI SQL Machine Learning 162

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

KDnuggets

NOVEMBER 25, 2024

Building data pipelines is a very important skill that you should learn as a data engineer. A data pipeline is just a series of procedures that transport data from one location to another, frequently changing it along the way.

Data Pipeline 131

Data Pipeline Building Transportation Data 131

KDnuggets

JUNE 13, 2024

Want to build APIs with Python? Learn how to do so using FastAPI with this step-by-step tutorial.

Python 152

Python Building 152

Data Engineering Podcast

OCTOBER 15, 2023

Summary Building streaming applications has gotten substantially easier over the past several years. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. How can you get the best results for your use case?

Process 182

Process Building SQL BI 182

KDnuggets

NOVEMBER 25, 2024

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

Data Science 143

Data Science Python Building Data 143

Data Engineering Podcast

APRIL 28, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free! Data lakes are notoriously complex.

Building 147

Building Data Lake High Quality Data Machine Learning 147

KDnuggets

OCTOBER 25, 2024

Using Python to build engaging and interactive applications where users can pass in an input, get and feedback and make use of multimedia elements such as images, videos, and audio.

Python 139

Python Building Data Science Data 139

KDnuggets

JUNE 6, 2024

In this article, you will be impacted by the knowledge you need to start building LLM apps with Python programming language.

Python 144

Python Building Programming Language Programming 144

KDnuggets

OCTOBER 12, 2023

This article talks about several best practices for writing ETLs for building training datasets. It delves into several software engineering techniques and patterns applied to ML.

Building 150

Building Software Engineer Software Engineering Datasets 150

KDnuggets

AUGUST 20, 2024

Learn how to build the recommendation system with advanced technology.

Systems 141

Systems Building Technology Machine Learning 141

KDnuggets

SEPTEMBER 5, 2024

A beginner tutorial on building a simple web application for machine learning model inference using FastAPI and Jinja2 templates.

Building 139

Building Machine Learning Python 139

KDnuggets

NOVEMBER 27, 2024

This tutorial will guide you on a simplistic approach to building an AI application. Artificial Intelligence has become an integral part of modern software applications, as it is known to add extended functionalities to traditional applications.

Building 131

Building IT 131

KDnuggets

AUGUST 28, 2024

Learn how to build and deploy an end-to-end data pipeline using Prefect with a few lines of code.

Data Pipeline 120

Data Pipeline Building Data Coding 120

Data Engineering Podcast

MAY 5, 2024

In this episode he explains his approach to building AI in a more human-like fashion and the emphasis on learning rather than statistical prediction. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines.

Building 147

Building Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

JANUARY 28, 2024

For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 147

Data Lake Building High Quality Data AWS 147

ArcGIS

SEPTEMBER 24, 2024

Learn the proper method to transform pre-existing 2D footprint polygons into a 3D buildings. Interested in 3D GIS but not sure where to start?

Building 115

Building 115

KDnuggets

OCTOBER 28, 2024

Learn how to build CLIs with Python using Typer in a few simple steps.

Python 132

Python Building 132

KDnuggets

NOVEMBER 2, 2023

This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages. For production grade LLM apps, you need a robust data pipeline.

Data Pipeline 150

Data Pipeline Building Data 150

Analytics Vidhya

SEPTEMBER 12, 2024

Picture this: thus, unlike many other extensions that require deep setup and constant coding, […] The post Setup Mage AI with Postgres to Build and Manage Your Data Pipeline appeared first on Analytics Vidhya. That’s where Mage AI comes in to ensure that the lenders operating online gain a competitive edge.

Data Pipeline 144

Data Pipeline Building Management Data 144

KDnuggets

DECEMBER 1, 2023

Image by Author When you are getting started with machine learning, logistic regression is one of the first algorithms you’ll add to your toolbox. It's a Read more »

Python 160

Python Building Machine Learning Algorithm 160

KDnuggets

JUNE 24, 2024

Bash is a good choice for ETL due to its simplicity, flexibility, automation capabilities, and interoperability with other CLI tools. Get more info on putting together your first ETL script using Bash mainstay components.

Building 139

Building IT Programming 139

Christophe Blefari

MAY 2, 2024

My personal collection of the best resources to bootstrap a data team and get inspired from what others are doing.

Building 130

Building Data 130

KDnuggets

AUGUST 7, 2024

Learn about essential AI tools that can help you develop Python projects faster and with fewer bugs using natural language.

Python 149

Python Project Building 149

databricks

JULY 23, 2024

Communications service providers (CSP) build various solutions. The communications industry is experiencing immense change due to rapid technological advancements and evolving market trends.

Building 115

Building Technology 115

KDnuggets

JUNE 27, 2024

You can have a successful career in AI by following the steps in this article.

Building 147

Building 147

KDnuggets

OCTOBER 4, 2024

Have you ever wondered how you can easily create command-line applications in Python? Gather yourself up because that is what I am going to cover today.

Python 139

Python Building 139