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A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? I bet you are, this article is for you! In this guide Data Engineering meets Formula 1. But, we’ll keep it simple. Introduction I strongly believe that the best way to describe a concept is via examples, even though some of my university professors used to say, “ If you need an example to explain it, it means
For 3 years straight, the DevTernity conference listed non-existent Coinbase employees as featured speakers. When were they added and what could have the motivation been? Three featured speakers listed at DevTernity 2021, 2022 and 2023, and JDKon 2024. These people do not exist. A year ago, I spent months doing an investigative report on how UK events tech company Pollen had its staff work for free, as it had run out of money but still kept operating.
Retrieval-Augmented-Generation (RAG) has quickly emerged as a powerful way to incorporate proprietary, real-time data into Large Language Model (LLM) applications. Today we are.
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
We are beginning to upgrade people’s personal conversations on Messenger to use end-to-end encryption (E2EE) by default Meta is publishing two technical white papers on end-to-end encryption: Our Messenger end-to-end encryption whitepaper describes the core cryptographic protocol for transmitting messages between clients. The Labyrinth encrypted storage protocol whitepaper explains our protocol for end-to-end encrypting stored messaging history between devices on a user’s account.
Retrieval Augmented Generation (RAG) is an efficient mechanism to provide relevant data as context in Gen AI applications. Most RAG applications typically use.
The "vertical scaling" has caught my attention a few times already when I have been reading about cloud updates. I've always considered horizontal scaling as the single true scaling policy for elastic data processing pipelines. Have I been wrong?
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.
Following the announcement we made yesterday around Retrieval Augmented Generation (RAG), today, we’re excited to announce the public preview of Databricks Vector Search. W.
Summary The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. Andrei Tserakhau has dedicated his careeer to this problem, and in this episode he shares the lessons that he has learned and the work he is doing on his most recent data transfer system at DoubleCloud.
Customers will earn a reward of up to 1 BTC when they first sign up and can receive up to 1 BTC for each successful referral Today, we are launching the Robinhood Crypto app to all eligible customers in the European Union (EU). It is the only custodial crypto platform where customers will get a percentage of their trading volume back every month, paid in Bitcoin (BTC),* and can get up to 1 BTC when they sign up and refer a friend.** Robinhood Crypto offers buy and sell support for 25+ cryptocurr
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.
We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas. Here are highlights from the collaborations, integrations and product enhancements that we were proud to dig in to throughout the week.
Robinhood is the only US retail brokerage to offer 24/5 trading of single name stocks At Robinhood, we know the world never stops – and believe investing shouldn’t be any different. Since launching in May, we’ve seen customers utilize the unprecedented flexibility and access to the markets with the Robinhood 24 Hour Market. And we’re just getting started – we’re proud to announce that we’ve expanded the total number of symbols available from 95 to 226.
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
Apache Iceberg’s ecosystem of diverse adopters, contributors and commercial support continues to grow, establishing itself as the industry standard table format for an open data lakehouse architecture. Snowflake’s support for Iceberg Tables is now in public preview, helping customers build and integrate Snowflake into their lake architecture. In this blog post, we’ll dive deeper into the considerations for selecting an Iceberg Table catalog and how catalog conversion works Choosing an Iceberg Ta
Recent data show that the number of recall campaigns caused by product deficiencies keeps increasing, while each known recorded case is a multi-million.
Leverage some simple equations to generate related columns in test tables. Image generated with DALL-E 3 I’ve recently been playing around with Databricks Labs Data Generator to create completely synthetic datasets from scratch. As part of this, I’ve looked at building sales data around different stores, employees, and customers. As such, I wanted to create relationships between the columns I was artificially populating — such as mapping employees and customers to a certain store.
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
Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. In this edition, learn how Srini Gorty, Founder and CEO of Leap Metrics, turned his first-hand experience with healthcare data difficulties into a passion for making healthcare data an active, vital piece of every patient and provider interaction.
Better career line, better job, better income are obviously main goals for clearing a certificate, but this is not everything about standards and certification in this field. Many of my project management students are even not employees, instead, they have their own business. So, what is the total picture about this? In addition to what I mentioned from the beginning of this article, it the matter of mastering with this science and coping with the latest research, so that you effectively communi
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!
Retail media is the topic everyone is talking about in the retail and consumer goods industry. And for good reason: the $45 billion U.S. retail media market is surging as retailers capitalize on the consumer shift to ecommerce while offering advertisers access to their unique audiences and data insights. Many retailers developed their own retail media networks over the last few years, from digital marketplaces and department stores to commerce intermediaries.
What is Project Integration Management? As per Project Management Institute (PMI ® ), Project Integration Management is the first project management knowledge area, which mainly pertains to the procedures required to guarantee that the different tasks of the project are coordinated appropriately. While developing a project, the entire sub-processes are integrated to form a whole project, and that constitutes the concept called ‘project handling’.
DataGPT is a conversational AI data analytics software provider that delivers analysis at the speed of business questions. DataGPT empowers anyone, in any company, to talk directly to their data using everyday language, revealing expert answers to complex questions instantly.
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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