This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of three topics from last week’s subscriber-only The Pulse issue. Today, full subscribers got access to a comprehensive Senior-and-above tech compensation research.
Summary A significant portion of data workflows involve storing and processing information in database engines. Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destination speak different dialects of SQL. In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Snowflake is committed to helping our customers unlock the power of artificial intelligence (AI) to drive better decisions, improve productivity and reach more customers using all types of data. Large Language Models ( LLMs ) are a critical component of generative AI applications, and multimodal models are an exciting category that allows users to go beyond text and incorporate images and video into their prompts to get a better understanding of the context and meaning of the data.
Robinhood Wallet is a portal to the world of web3, giving users full ownership and control of their crypto Today, we are excited to release Robinhood Wallet to all eligible Android users globally, expanding on our mission to make Robinhood the most trusted and easiest way to use crypto. All customers who previously joined the waitlist can download and get started today.
Robinhood Wallet is a portal to the world of web3, giving users full ownership and control of their crypto Today, we are excited to release Robinhood Wallet to all eligible Android users globally, expanding on our mission to make Robinhood the most trusted and easiest way to use crypto. All customers who previously joined the waitlist can download and get started today.
Threads has entered the fediverse! As part of our beta experience, now available in a few countries, Threads users aged 18+ with public profiles can now choose to share their Threads posts to other ActivityPub-compliant servers. People on those servers can now follow federated Threads profiles and see, like, reply to, and repost posts from the fediverse.
Seamlessly integrate Apache Kafka data into your lakehouse as Apache Iceberg tables, bridging the operational and analytical divide, with Tableflow. Read more in our blog post.
Friday routine ( credits ) It's Friday and it's Data News. I don't go into too much detail about the magic of Data News, but every Friday is the same. At first, I'm: oh s**t, here we go again and 10 minutes later I'm lost in reading the content and picking too many articles to fit into a thousand word edition. Usually all the process takes me a whole Friday.
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.
Apache Spark leverages the observer design pattern for the framework-to-code communication. One of the consumers' implementations is StreamingQueryListener.
A company’s data strategy is always in motion. Since the explosion of interest in generative AI and large language models (LLMs), that is more true than ever, with business leaders discussing how quickly they should adopt these technologies to stay competitive. Some emerging approaches may be seen in our newly released Snowflake Data Trends 2024 , looking at how users in the Data Cloud are working with their 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.
President and CEO of Americas Society and Council of the Americas joins the Robinhood Board of Directors We’re excited to share that Susan Segal has joined Robinhood Markets’ Board of Directors. “Susan is widely recognized for her work and extensive contributions in Latin America as well as in the financial sector,” said Vlad Tenev, CEO and Co-Founder of Robinhood.
As enterprise AI technologies rapidly reshape our digital environment, the foundation of your cloud infrastructure is more critical than ever. That’s why Cloudera and Red Hat , renowned for their open-source solutions, have teamed up to bring Red Hat Enterprise Linux ( RHEL ) to Cloudera on public cloud as the operating system for all of our public cloud platform images.
Learn the best practices for using Confluent Schema Registry, including using schema IDs, understanding subjects and versions, using data contracts, pre-registering schemas, and more.
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
Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully.
When I worked in the hospitality industry, the electricity abruptly went out while we were establishing the network and door locks. To my surprise, the door lock opened like any other door. This was the first time in my life that I had ever seen a fail-safe door lock. I have comprehensively analyzed the area of physical security, particularly the ongoing discussion surrounding fail safe vs fail-safe secure electric strike locking systems.
Are you curious about what it takes to become a professional data scientist? Look no further! By following these guides, you can transform yourself into a skilled data scientist and unlock endless career opportunities.
Next-generation customer experiences are built upon data and insights derived from various touchpoints. Through these, marketers can detect subtle differences in customer needs.
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
Executives across various industries are under pressure to reach insights and make decisions quickly. This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes. While traditional systems store and process data in batches, streaming data refers to data that is continuously generated from a variety of sources.
Systems and application logs play a key role in operations, observability, and debugging workflows at Meta. Logarithm is a hosted, serverless, multitenant service, used only internally at Meta, that consumes and indexes these logs and provides an interactive query interface to retrieve and view logs. In this post, we present the design behind Logarithm, and show how it powers AI training debugging use cases.
The largest UK brokers typically charge UK investors, with a £10,000 portfolio, an average of £240 per year to invest in US stocks*–Robinhood offers no commission fees and no foreign exchange (FX) fees on trades.** Today, we’ve rolled all eligible customers off our waitlist and Robinhood is now officially available throughout the United Kingdom. With Robinhood, customers simply get more for their money, with no commission fees and no foreign exchange (FX) fees on trades, access to more than 6,00
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!
Having frequently worked with governments around the world over the course of my career, I’ve had all kinds of discussions about the global impact of generative AI. Today, I’m publicly wading into those waters to deliver my perspective, and my opinion is that … it’s incredibly hard to predict the future. Done. Wrapped up this entire post in a single sentence.
Want to know how to grow to the Senior Engineering position? Take a look. The post The Path To Senior Engineer appeared first on Confessions of a Data Guy.
At Meta, we support real-time communication (RTC) for billions of people through our apps, including Messenger, Instagram, and WhatsApp. We’ve seen significant benefits by adopting the AV1 codec for RTC. Here’s how we are improving the RTC video quality for our apps with tools like the AV1 codec, the challenges we face, and how we mitigate those challenges.
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
We organize all of the trending information in your field so you don't have to. Join 37,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
327 
Let's personalize your content