Confluent

MAY 10, 2024

Discover how to build trust in AI by strengthening data and people layers. Learn about risk frameworks, data streaming, and more for effective solutions.

Building 70

Building Data 70

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 201

Building Programming Language Programming Python 201

Analytics Vidhya

FEBRUARY 3, 2023

Imagine scheduling your ML tasks to run automatically without the need for manual […] The post How to Build and Monitor Systems Using Airflow? Airflow can help you manage your workflow and make your life easier with its monitoring and notifications features. appeared first on Analytics Vidhya.

Systems 214

Systems Building Machine Learning Management 214

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

Confessions of a Data Guy

MARCH 25, 2024

Ever wondered how to build and end-to-end project for an Open Source Python Package that gets published to PYPI? link] The post How To Build and Open Source PYPI Python Package appeared first on Confessions of a Data Guy.

Python 100

Python Building Project Data 100

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

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

Data Engineering Podcast

FEBRUARY 26, 2023

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. We feel your pain. It ends up being anything but that. You can't optimize for everything all at once.

Building 147

Building Metadata Machine Learning Data Integration 147

DoorDash Engineering

APRIL 23, 2024

Product attributes allow DoorDash to group products based on commonalities, building a product profile for each customer around their affinities to certain attributes. These are the building blocks for providing highly relevant and personalized shopping recommendations. Better personalization.

Building 91

Building Retail Manufacturing Unstructured Data 91

Data Engineering Podcast

JULY 23, 2023

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. What was your decision process for building Dozer as open source? Who are you building Dozer for and what were the motivations for that vision?

Building 130

Building SQL Machine Learning Data Ingestion 130

databricks

MAY 6, 2024

Building. Introduction Organizations aiming to become AI and data-driven often need to provide their internal teams with high-quality and trusted data products.

Building 81

Building Data 81

databricks

MAY 14, 2024

Successfully building GenAI applications means going beyond just leveraging the latest cutting-edge models. It requires the development of compound AI systems that integrate.

Building 76

Building Systems IT 76

Data Engineering Podcast

AUGUST 27, 2023

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. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold You shouldn't have to throw away the database to build with fast-changing data.

Database 130

Database Building PostgreSQL BI 130

Data Engineering Podcast

MARCH 5, 2023

It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We feel your pain. It ends up being anything but that. We feel your pain.

Building 147

Building Database Design Metadata Machine Learning 147

Snowflake

NOVEMBER 15, 2023

BUILD 2023 is where AI gets real. Join our two-day virtual global conference and learn how to build with the app dev innovations you heard about at Snowflake Summit and Snowday. As always, BUILD is created by builders, for builders, so you’ll find plenty to spark your interest and boost your skill set.

Building 109

Building Accessible Accessibility IT 109

Tweag

JULY 5, 2023

Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. invoke build buck2 build //starlark-rust/starlark 6.

Systems 138

Systems Building Java Programming Language 138

Knowledge Hut

APRIL 24, 2024

Before we dive into building the FSD portfolio, let’s understand the top reasons to become a full-stack developer. Building The Perfect Full Stack Developer Portfolio A full stack developer portfolio should define you, your skill set, and your work. Let's explore an example for reference purposes.

Portfolio 98

Portfolio Building Hospitality Java 98

Knowledge Hut

APRIL 16, 2024

Going for CSM certification training and knowing how to build a self-organizing team as a Scrum master will help you get trained well. Most Agile-Scrum organizations emphasize on building the self-organizing team - why? How Do You Build a Self-Organizing Team as a Scrum Master?

Building 98

Building Certification Project Management 98

KDnuggets

APRIL 3, 2023

LangChain is a Python library that helps you build GPT-powered applications in minutes. Get started with LangChain by building a simple question-answering app.

Building 159

Building Python Process 159

Analytics Vidhya

FEBRUARY 20, 2023

This blog is a tutorial for building intuitive frontend interfaces for Machine Learning models using two popular open-source libraries […] The post Streamlit vs Gradio – A Guide to Building Dashboards in Python appeared first on Analytics Vidhya.

Python 152

Python Building Machine Learning Business Intelligence 152

Towards Data Science

FEBRUARY 9, 2024

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? Orchestration I mentioned modularity as a core concept of building a modern data platform in my 2021 article, but I failed to emphasize the importance of data orchestration.

Building 82

Building Transportation Data Lake Metadata 82

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 112

Building Software Engineer Software Engineering Datasets 112

Start Data Engineering

JUNE 30, 2023

Building a self-serve data platform 3.1. Introduction Most companies want to build a self-serve data platform. Components of a self-serve platform 3. Creating dataset(s) 3.1.1. Gather requirements 3.1.2. Get data foundations right 3.2. Accessing data 3.3. Identify and remove dependencies 4. Conclusion 5. Further reading 6.

Building 130

Building Datasets Data Accessible 130

Data Engineering Podcast

APRIL 16, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. How have the recent breakthroughs in large language models (LLMs) improved your ability to build features in Zenlytic? Who are the target users?

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Edureka

APRIL 19, 2024

In other words, you don’t need to be a programmer or have any coding background to dive into this creative process of building a chatbot using prompt engineering. In this tutorial blog, we’ll be building a chatbot using prompt engineering inspired by Steve Harvey, offering tailored advice on life motivation and personal growth.

Building 52

Building Engineering Coding Systems 52

Knowledge Hut

APRIL 25, 2024

Jenkins CI allows developers to automate building, testing, and deploying code effortlessly. Also, it hones the capabilities to handle any build or continuous integration. Jenkins Jobs focuses on building and testing code continuously so that any changes made in the source code are easily integrated into the build.

Building 52

Building Coding Project Certification 52

Data Engineering Podcast

NOVEMBER 13, 2022

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. In this episode he explains the design of the platform and how it builds on agile development principles to help you focus on delivering value. Can you describe what AgileData is and the story behind it?

Building 130

Building Metadata MongoDB MySQL 130

Data Engineering Podcast

JUNE 11, 2023

Summary Data engineering is all about building workflows, pipelines, systems, and interfaces to provide stable and reliable data. In this episode Gleb Mezhanskiy shares some valuable advice and insights into how you can build reliable and well-tested data assets with dbt and data-diff. RudderStack also supports real-time use cases.

Project 130

Project Building Data Lake Machine Learning 130

Snowflake

APRIL 17, 2024

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. The post Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease appeared first on Snowflake.

Data Pipeline 105

Data Pipeline Python Data Engineering Data Engineer 105

Lyft Engineering

JUNE 28, 2023

On the flip side, there was a substantial appetite to build real-time ML systems from developers at Lyft. Shortly after we built it, it was utilized by another pod within our team to build a Real-time Anomaly Detection product. To meet the needs of our customers, we kicked off the Real-time Machine Learning with Streaming initiative.

Machine Learning 115

Machine Learning Building Metadata Kafka 115