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This guide introduces data streaming from a data science perspective. Well explain what it is, why it matters, and how to use tools like Apache Kafka, Apache Flink, and PyFlink to build real-time pipelines.
Data providers want their data available to their customers, no matter where in the world or on which cloud service provider the customer is located. However, egress costs can contribute up to 70% of total data transfer costs. Providers have historically had to balance the desire to increase the availability of their data to any relevant Snowflake regions with the need to manage egress costs.
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
When you purchase online, do you ever find yourself pondering how your tastes get changed into suggestions for products that are uniquely suited to you? Or how self-driving cars get through very complicated situations with amazing accuracy? These are the ways that data engineering improves our lives in the real world. The field of data engineering turns unstructured data into ideas that can be used to change businesses and our lives.
Better decision-making, innovation, and compliance all hinge on one common factor: trusted data. And today, were working with more data than ever. But heres a fundamental challenge that many organizations face and one Ive encountered in countless conversations with customers: they dont fully understand what data they have, let alone whether they can trust it.
Better decision-making, innovation, and compliance all hinge on one common factor: trusted data. And today, were working with more data than ever. But heres a fundamental challenge that many organizations face and one Ive encountered in countless conversations with customers: they dont fully understand what data they have, let alone whether they can trust it.
Simplify CAD and BIM integration in ArcGIS Pro 3.5 for model federation and sharing workflows. Bring content into context for analysis and collaboration.
Get More Insights In Your Inbox Sol Rashidi has built AI, data, and digital strategies inside some of the worlds biggest companiesand shes seen the same mistakes play out again and again. In this episode, she unpacks why AI initiatives often stall, how executives misread what transformation really requires, and why the future of AI success isnt technicalits cultural.
Building strong models or innovative solutions is only half the battle in today’s data-driven world; the other half is effectively kubernetes deployment, scaling, and maintaining these applications. Whether you’re a data scientist moving your machine learning model from notebook to production, an AI engineer making sure models handle thousands of real-time queries, or a DevOps […] The post Kubernates appeared first on WeCloudData.
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.
Dagster Running Dagster: Our Open Platform We’re pulling back the curtain. Join us on May 13 for a live deep dive into how Dagster Labs runs Dagster in production. One of our lead data engineers will walk through our real-world implementation, architecture decisions, and the lessons we've learned scaling the platform. Register now Editor’s Note: OpenXData Conference - 2025 - A Free Virtual Event A free virtual event on open data architectures - Iceberg, Hudi, lakehouses, query engine
Introduction This recipe shows how you can build a data pipeline to read data from ServiceNow and write to BigQuery. Striim’s ServiceNow Reader will first read the existing tables from the configured ServiceNow dataset and then write them to the target BigQuery project using the BigQuery Writer, a process called “initial load” in Striim and “historical sync” or “initial snapshot” by others.
In today's complex enterprise environments, managing data security is a daunting challenge. Organizations are grappling with a growing number of data stores, data sharing, increasing use of data for AI and increasingly sophisticated threats. This complexity necessitates a shift toward automated, AI-driven solutions that simplify security governance and accelerate threat detection.
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.
In the fast-paced world of online grocery delivery, making data-driven decisions quickly can be the difference between delighting customers and losing them to a competitor. Therefore, at Picnic, real-time monitoring is essential, especially in our order fulfilment operations. For example, warehouse operators need real-time data to make sure orders are ready for on-time delivery.
Maybe youre luckier than me. Maybe youve never opened a.sql file or anAirflow DAG only to be greeted by a 5,000+ line query…a true monster of a script that leaves you wondering where to begin. Ive seen plenty of these, and every time, I ask myself:Why in the world do these exist? And, more… Read more The post How To Write Better SQL – Simplifying Complex SQL appeared first on Seattle Data Guy.
Master LLMs through books, courses, tutorials, exercises, projects, and comprehensive guides that cover everything from foundational concepts to advanced techniques.
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
We are thrilled to announce that as part of our strategic partnership with Anthropic, Snowflake customers will now have access to Claude 3.7 Sonnet in Snowflake Cortex AI. Anthropic and Snowflake entered a multi-year partnership in November 2024 to help enterprises develop and scale easy, efficient and trusted AI products, starting with the launch of Claude 3.5.
WonderFi will join Robinhood Crypto and continue to deliver crypto products to Canadian customers WonderFi shareholders to receive all-cash consideration of C$0.36 per Common Share Purchase price represents an attractive premium of approximately 41% to the closing price, and 71% to the 30-day VWAP, as of May 12 Robinhood Markets, Inc. has entered into an agreement to acquire WonderFi, a Canadian leader in digital asset products and services.
After working in data for over a decade, one thing that remains the same is the need to create data pipelines. Whether you call them ETLs/ELTs or something else, companies need to move and process data for analytics. The question becomes how companies are actually building their data pipelines. What ETL tools are they actually… Read more The post 6 Real-World ETL Use Cases with Estuary Flow appeared first on Seattle Data Guy.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Meta and NVIDIA collaborated to accelerate vector search on GPUs by integrating NVIDIA cuVS into Faiss v1.10 , Metas open source library for similarity search. This new implementation of cuVS will be more performant than classic GPU-accelerated search in some areas. For inverted file (IVF) indexing, NVIDIA cuVS outperforms classical GPU-accelerated IVF build times by up to 4.7x; and search latency is reduced by as much as 8.1x.
We are thrilled to announce that as part of our strategic partnership with Anthropic, Snowflake customers will soon have access to Claude 3.7 Sonnet in Snowflake Cortex AI. Anthropic and Snowflake entered a multi-year partnership in November 2024 to help enterprises develop and scale easy, efficient and trusted AI products with Claude 3.5. We are building on this momentum with Claude 3.7 Sonnet.
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
Breaking into data science has never been easy. In this tutorial, well make your life easier by providing you with a step-by-step roadmap for data science beginners.
Kinesh Satiya Introduction In a digital advertising platform, a robust feedback system is essential for the lifecycle and success of an ad campaign. This system comprises of diverse sub-systems designed to monitor, measure, and optimize ad campaigns. At Netflix, we embarked on a journey to build a robust event processing platform that not only meets the current demands but also scales for future needs.
Today were announcing the launch of Data Intelligence for Marketing, combining the Databricks Data Intelligence Platform with out-of-the-box integrations to an ecosystem of leading marketing
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!
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