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
Data engineering in 2025 isn’t just about moving datait’s about ensuring reliability, security, and scalability as data ecosystems grow in complexity. As pipelines grow more complex and AI-integrated workflows become the standard, the difference between success and chaos lies in the practices data teams adopt. The best engineering teams arent just optimizing pipelines; theyre designing resilient and scalable data architectures that minimize downtime, accelerate deployment, and enhanc
Compared to large language models (LLMs), which are limited in size, speed, and ease of customization, small language models (SLMs) would be a more economical, efficient, and space-saving AI technology for users with limited resources. With fewer parameters (usually less than 10 billion), SLMs are assumed to have lower computational and energy costs.
Nearly nine out of 10 business leaders say their organizations data ecosystems are ready to build and deploy AI, according to a recent survey. But 84% of the IT practitioners surveyed spend at least one hour a day fixing data problems. Seventy percent spend one to four hours a day remediating data issues, while 14% spend more than four hours each day.
The world of artificial intelligence is changing very quickly. Zero-shot learning (ZSL) is one of the most exciting and useful new developments. Because of this new method, models can accurately guess classes they have never seen while they were training. As AI systems get smarter, they need to be able to extend beyond what they’ve seen, and zero-shot learning is great for that.
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
Usha Amrutha Nookala, Jason Madeano, Siddarth Malreddy, Lucy Song, AlekhyaP In the past, Homefeed on Pinterest recommended a grid of Pins that are most relevant to a user. The grid limits our ability to provide more context on the recommendations as well as show new topics the user might be interested in. To address this, we introduced modules to the Homefeed.
We want to capture an accurate snapshot of software engineering, today – and need your help! Tell us about your tech stack and get early access to the final report, plus extra analysis We’d like to know what tools, languages, frameworks and platforms you are using today. Which tools/frameworks/languages are popular and why?
Data integration is critical for organizations of all sizes and industriesand one of the leading providers of data integration tools is Talend, which offers the flagship product Talend Studio. In 2023, Talend was acquired by Qlik, combining the two companies data integration and analytics tools under one roof. In January 2024, Talend discontinued Talend Open… Read more The post Alternatives to Talend How To Migrate Away From Talend For Your Data Pipelines appeared first on Seattle Data Gu
Data integration is critical for organizations of all sizes and industriesand one of the leading providers of data integration tools is Talend, which offers the flagship product Talend Studio. In 2023, Talend was acquired by Qlik, combining the two companies data integration and analytics tools under one roof. In January 2024, Talend discontinued Talend Open… Read more The post Alternatives to Talend How To Migrate Away From Talend For Your Data Pipelines appeared first on Seattle Data Gu
Ive been reading a lot about the rapid pace of change as if change itself is a new thing. The reality is that business has always been defined by rapid change, and change, by definition, is always disruptive to something. When I joined the workforce, desktop computing, the Blackberry, email, and the dot-com boom were the catalysts that disrupted workplace norms.
Curious how AI is actually changing the game for real businesses? This article breaks down how companies are using AI to make smarter decisions and run more efficiently.
In this post, well walk through how to build a real-time AI-powered sentiment analysis pipeline using Striim, OpenAI, and LangChain with a simple, high performance pipeline. Real-time sentiment analysis is essential for applications such as monitoring and responding to customer feedback, detecting market sentiment shifts, and automating responses in conversational AI.
In this episode of Unapologetically Technical, I interview Adrian Woodhead, a distinguished software engineer at Human and a true trailblazer in the European Hadoop ecosystem. Adrian, who even authored a chapter in the seminal work “Hadoop: The Definitive Guide,” shares his remarkable journey through the tech world, from his roots in South Africa to his current role pushing the boundaries of data engineering.
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
Welcome to Snowflakes Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. In this edition, we talk to Douwe Kiela, the CEO and co-founder of Contextual AI , a startup that helps companies build highly specialized, production-grade AI agents. These agents are capable of reasoning over enterprise data using retrieval-augmented generation (RAG), making them uniquely able to very accurately understand the context of a business.
Compared to large language models (LLMs), which are limited in size, speed, and ease of customization, small language models (SLMs) would be a more economical, efficient, and space-saving AI technology for users with limited resources. With fewer parameters (usually less than 10 billion), SLMs are assumed to have lower computational and energy costs.
Is your data AI-ready? That was a consistent theme at this years Gartner Data & Analytics Summit in Orlando, Florida. There were many Gartner keynotes and analyst-led sessions that had titles like: Scale Data and Analytics on Your AI Journeys” What Everyone in D&A Needs to Know About (Generative) AI: The Foundations AI Governance: Design an Effective AI Governance Operating Model The advice offered during the event was relevant, valuable, and actionable.
Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges. We’ve identified two distinct types of data teams: process-centric and data-centric.
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!
Welcome to Snowflakes Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. In this edition, find out how Evan Powell, founder and CEO of DeepTempo , is harnessing AI alongside a team of skilled security experts to protect the digital world from increasingly sophisticated cyberattacks. Describe your company in one sentence.
If you have been working with Apache Airflow already, you certainly met XComs at some point. You know, these variables that you can "exchange" between tasks within the same DAG. If after switching to Databricks Workflows for data orchestration you're wondering how to do the same, there is good news. Databricks supports this exchange capability natively with Task values.
1. Introduction 1.1. Pre-requisites 2. Use Schema evolution & advanced data types to quickly deliver new columns to the end-user 2.1. Enable schema evolution for additive column changes 2.2. Model 1:1 relationship as STRUCT and 1:M relationships as ARRAY[STRUCTS] to keep schema changes self contained 2.3. Naming conventions should represent relationship 3.
I make it my duty in life to never have to open an Excel file (xlsx); I feel like if I do, then I made a critical error in my career trajectory. But, I recently had no choice but to open an Excel on a Mac (or try) to look at some sample data from […] The post Reading Excel (.xlsx) Files with Polars appeared first on Confessions of a 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.
Investors are relying more on ESG reporting and metrics to conduct research to gain investment-critical insights. They rely on this insight to satisfy their investors and stakeholders by ensuring that they provide good investment opportunities, with low risk. A study by Nordea Equity Research reports that between 2012 and 2015, organisations with high ESG ratings outperform the lowest rated organisations by as much as 40%.
Mobile devices have become an essential part of our daily lives, and with approximately 5 billion users worldwide, the prevalence of mobile security threats is a major concern. Millions of applications are downloaded every day, transforming these devices into powerful tools for communication, work, and entertainment. However, this widespread adoption also makes them attractive targets for cybercriminals.
Annual Report: The State of Apache Airflow® 2025 DataOps on Apache Airflow® is powering the future of business – this report reviews responses from 5,000+ data practitioners to reveal how and what’s coming next. Get the report → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community.
Monte Carlo and Databricks double-down on their partnership, helping organizations build trusted AI applications by expanding visibility into the data pipelines that fuel the Databricks Data Intelligence Platform. Announced today, Monte Carlo and Databricks are giving data + AI teams comprehensive visibility into the quality and reliability of AI systems in Databricks Data Intelligence Platform helping organizations move beyond demos to dependable AI solutions.
Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.
There are numerous frameworks and libraries for front-end development. One of the most famous and widely used libraries for front-end development is React. It’s not a framework. Just so you know, it is an open-source JavaScript tool created by Facebook that is used for front-end development. You can make great user experiences for web apps with its component-based library.
Last week, I had the opportunity to speak at and attend Data Centre World as part of the larger Tech Show London 2025. This massive event sprawled across half of the ExCeL centre, bringing together industry vendors, academics, and innovators across multiple technology domains. While the conference covered loads of topics, I was particularly drawn to sessions focusing on sustainable data centres and AI computing.
Business transactions captured in relational databases are critical to understanding the state of business operations. Since the value of data quickly drops over time, organizations need a way to analyze data as it is generated. To avoid disruptions to operational databases, companies typically replicate data to data warehouses for analysis. Time-sensitive data replication is also a major consideration in cloud migrations, where data is continuously changing and shutting down the applications th
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Major milestone release Apache Kafka 4.0 removes ZooKeeper entirely, provides early access to Queues for Kafka, and enables faster rebalances, in addition to many other new KIPs.
In todays digital economy, businesses arent just competing on products and servicestheyre competing on insights and decisions. The ability to deliver real-time, contextual analytics within applications and portals isnt just a nice to have; its a critical advantage. Your users expect instant access to insights without switching between tools, hunting for reports, or waiting for analysts to provide answers.
If you have Snowflake or are considering it, now is the time to think about your ETL for Snowflake. This blog post describes the advantages of real-time ETL and how it increases the value gained from Snowflake implementations. With instant elasticity, high-performance, and secure data sharing across multiple clouds , Snowflake has become highly in-demand for its cloud-based data warehouse offering.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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.
52 
Let's personalize your content