Christophe Blefari
OCTOBER 19, 2023
cross-project dependencies ( credits ) Over the last few years, dbt has become a de facto standard enabling companies to collaborate easily on data transformations. With dbt, you can apply software engineering practices to SQL development. Managing your SQL patrimony has never been easier. So, yes, dbt is cool but there is a common pattern with it: you accumulate SQL queries.
Data Engineering Podcast
OCTOBER 15, 2023
Summary Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams.
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KDnuggets
OCTOBER 16, 2023
Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.
Scott Logic
OCTOBER 18, 2023
The State of WebAssembly 2023 survey has closed, the results are in … and they are fascinating! If you want the TL;DR; here are the highlights: Rust and JavaScript usage is continuing to increase, but some more notable changes are happening a little further down - with both Swift and Zig seeing a significant increase in adoption. When it comes to which languages developers ‘desire’, with Zig, Kotlin and C# we see that desirability exceeds current usage WebAssembly is still most often used for we
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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
ArcGIS
OCTOBER 17, 2023
The new U.S. datums of 2022 will soon be released. This article covers what is coming and how you should prepare your data.
Christophe Blefari
OCTOBER 20, 2023
Writing about dbt like a sheep ( credits ) Hey, this week Coalesce—the dbt Labs annual conference—took place. During 3 days, people shared how they used dbt around the world. I'll, as usual, write a takeaway post after binge watching all keynotes, but this is for next week. Still dbt Labs announcements were mainly towards dbt Cloud with great features to drive adoption of the paid product.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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Marc Lamberti
OCTOBER 20, 2023
Templates and Macros in Apache Airflow allow passing data to your DAGs at runtime. Imagine that you want to execute an SQL request with the execution date of your DAG. How can you do that? How can you use the DAG ID when you send notifications to know which DAG to look at? Or what if you need to know when the next DAG run will be? Well, macros and templates answer these questions.
databricks
OCTOBER 19, 2023
Machine learning (ML) is more than just developing models; it's about bringing them to life in real-world, production systems. But transitioning from prototype.
Waitingforcode
OCTOBER 17, 2023
I've already written about watermarks in a few places in the blog but despite that, I still find things to refresh. One of them is the watermark used to filter out the late data, which will be the topic of this blog post.
KDnuggets
OCTOBER 18, 2023
Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.
Speaker: Tamara Fingerlin, Developer Advocate
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.
ArcGIS
OCTOBER 17, 2023
The Living Atlas of the World just updated the tiled, hosted image service featuring transportation noise, from the USDOT.
databricks
OCTOBER 17, 2023
Introduction Large Language Models (LLMs) have given us a way to generate text, extract information, and identify patterns in industries from healthcare to.
DoorDash Engineering
OCTOBER 19, 2023
As DoorDash’s microservices architecture has grown, so too has the volume of interservice traffic. Each team manages their own data and exposes access through gRPC services, an open-source remote procedure call framework used to build scalable APIs. Most business logic is I/O-bound because of calls to downstream services. Caching has long been a go-to strategy to improve performance and reduce costs.
KDnuggets
OCTOBER 17, 2023
Large language models (LLMs) are transforming the way we process and produce information. But, before considering either one of these models as a one-stop-solution, one must consider their key differences.
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.
ArcGIS
OCTOBER 16, 2023
Streamline GIS workflows with ArcGIS Reality for ArcGIS Pro. Automate reality mapping, generate accurate geospatial products.
LinkedIn Engineering
OCTOBER 19, 2023
Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling.
Engineering at Meta
OCTOBER 18, 2023
With the recent launches of MTIA v1 , Meta’s first-generation AI inference accelerator, and Llama 2 , the next generation of Meta’s publicly available large language model, it’s clear that Meta is focused on advancing AI for a more connected world. Fueling the success of these products are world-class infrastructure teams, including Meta’s custom AI silicon team, led by Olivia Wu, a leader in the silicon industry for 30 years.
KDnuggets
OCTOBER 16, 2023
Due to unsustainable hype, unrealistic valuations, limitations of current technology, and unproven business models.
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
databricks
OCTOBER 19, 2023
Today, we are excited to announce the public preview of AI generated documentation in Databricks Unity Catalog. This feature leverages generative AI to.
Pinterest Engineering
OCTOBER 17, 2023
Charles Wu | Software Engineer; Isabel Tallam | Software Engineer; Kapil Bajaj | Engineering Manager Overview In this blog, we present a pragmatic way of integrating analytics, written in Python, with our distributed anomaly detection platform, written in Java. The approach here could be generalized to integrate processing done in one language/paradigm into a platform in another language/paradigm.
Snowflake
OCTOBER 19, 2023
Welcome to Snowflake’s Startup Spotlight, where we learn about amazing companies building their businesses on Snowflake. In this edition, Pave.dev President and Co-Founder Ema Rouf talks about breaking down barriers to accessible credit and financial lending, how running a startup is like climbing a mountain, and how building on Snowflake gives Pave the data sharing capabilities it needs to show financial institutions a better way to identify more creditworthy borrowers.
KDnuggets
OCTOBER 20, 2023
Want to learn SQL the Harvard way? Start learning today with CS50 SQL, a free course on databases with SQL from Harvard.
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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
Tweag
OCTOBER 18, 2023
At Tweag we have been cooking up a JSON Schema to Nickel contract converter , that we’re excited to announce! Background Nickel is a configuration language being developed at Tweag. You can get some deep dives into its design from previous blog posts. I’ll summarize it here as JSON, plus functions, plus types and contracts. One of its main use-cases is generating JSON configurations for other programs (Terraform, GitHub actions, etc).
databricks
OCTOBER 20, 2023
Check out our Nearest Neighborhood Search Solution Accelerator to get started quickly. The Member Experience An insured member typically experiences their healthcare in.
Snowflake
OCTOBER 18, 2023
Product-led growth (PLG) is a business model that emerged in the last decade with the enormous success of vendors like Slack and Datadog. Unlike traditional sales-led models, PLG models cut out the middlemen (sales reps, for example) and let customers just download and use the product without third-party onboarding. The relative novelty of the pricing model and its demonstrably successful application in growing these companies attracted a lot of attention.
KDnuggets
OCTOBER 20, 2023
Follow these simple steps to multiply your income with generative AI.
Speaker: Tamara Fingerlin, Developer Advocate
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!
InData Labs
OCTOBER 17, 2023
Big data is central to the efficient running of all modern organizations, but to be of use, raw data must be suitably organized. The way that businesses organize data assets is commonly known as data architecture, with the benefits of modern data architecture enabling teams to respond to changing demands with improved agility when compared. Запись The benefits of modern data architecture впервые появилась InData Labs.
databricks
OCTOBER 20, 2023
SAP's recent announcement of a strategic partnership with Databricks has generated significant excitement among SAP customers. Databricks, the data and AI experts, presents.
Snowflake
OCTOBER 17, 2023
See how ctrl+s provides in-depth insights into supply chain sustainability, while protecting sensitive customer information—all through Snowflake’s powerful, scalable Data Cloud. Sustainability is an issue at the forefront of most companies’ agendas. But in complex, sprawling supply chains, identifying where carbon impacts come from can be extremely difficult.
KDnuggets
OCTOBER 16, 2023
How to clean your data in Python and make it ready for use in a data science project.
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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