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What are dbt meetups? dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures.

To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy

🇬🇧 Join the conversation in the #local-ldn channel in dbt Slack to follow speaking/hosting opportunities and news on upcoming meetups. ➡️ Receive an invite to join the dbt Slack community: https://community.getdbt.com/

🤝 Organizer: Datatonic 🏠 Venue: Datatonic's Offices, Level 45, One Canada Square, Canary Wharf

✨ Agenda & Speakers ✨

1. 17.30: Drinks & Food
2. 18.30: Streamlining Incremental Models with Delta Tracking - George Jones & Arun Kumaravel\, Analytics Engineers @ VMO2
3. 19.00: Accelerating our journey to powerful customer insights - Holly Foster, Data Lead @ Trinny London
4. 19:30 Networking

dbt is the standard in data transformation, used by over 30,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/

“This book is a critically needed resource for the newly released Apache Hadoop 2.0, highlighting YARN as the significant breakthrough that broadens Hadoop beyond the MapReduce paradigm.” —From the Foreword by Raymie Stata, CEO of Altiscale The Insider’s Guide to Building Distributed, Big Data Applications with Apache Hadoop™ YARN Apache Hadoop is helping drive the Big Data revolution. Now, its data processing has been completely overhauled: Apache Hadoop YARN provides resource management at data center scale and easier ways to create distributed applications that process petabytes of data. And now in two Hadoop technical leaders show you how to develop new applications and adapt existing code to fully leverage these revolutionary advances. Apache Hadoop™ YARN, YARN project founder Arun Murthy and project lead Vinod Kumar Vavilapalli demonstrate how YARN increases scalability and cluster utilization, enables new programming models and services, and opens new options beyond Java and batch processing. They walk you through the entire YARN project lifecycle, from installation through deployment. You’ll find many examples drawn from the authors’ cutting-edge experience—first as Hadoop’s earliest developers and implementers at Yahoo! and now as Hortonworks developers moving the platform forward and helping customers succeed with it. Coverage includes YARN’s goals, design, architecture, and components—how it expands the Apache Hadoop ecosystem Exploring YARN on a single node Administering YARN clusters and Capacity Scheduler Running existing MapReduce applications Developing a large-scale clustered YARN application Discovering new open source frameworks that run under YARN