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Upcoming events (2)
Hello Kafkateers! Our friends at Data Science DC will be hosting an online meetup with our own Tim Berglund on Thursday, January 21st and you are invited! You can find the registration link and agenda for the meetup below. **VERY IMPORTANT: To register to attend, please follow this link. There you will find the directions, further details and reminders for this meetup.** https://www.meetup.com/Data-Science-DC/events/275683778/ Apache Kafka is the de facto standard for real-time event streaming, but what do you do if you want to perform user-facing, ad-hoc, real-time analytics too? That's a hard problem. Apache Pinot solves it, and the two together are like chocolate and peanut butter, peaches and cream, and Steve Rogers and Peggy Carter. Come to this talk for an introduction to both systems and a view of how they work together. Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the Senior Director of Developer Advocacy. He can frequently be found speaking at conferences in the United States and all over the world. He is the co-presenter of various training videos on topics ranging from Git to Distributed Systems to Apache Kafka. He tweets as @tlberglund, blogs very occasionally at http://timberglund.com, and lives in Littleton, CO, USA. Neha Pawar is a Founding Engineer at a Stealth Mode Startup. Prior to this, she worked at LinkedIn as a Senior Software Engineer in the Data Analytics Infrastructure org. Neha is an Apache Pinot PMC and Committer & has made numerous impactful contributions to the Apache Pinot project. She actively fosters the growing Apache Pinot community & loves to evangelize Apache Pinot in the form of blogs, video tutorials, speaking in meetups and conferences. You can find her on Twitter at @nehapawar18. About Apache Pinot: Pinot is a real-time distributed OLAP datastore, built to deliver scalable real-time analytics with low latency. It can ingest from batch data sources (such as Hadoop HDFS, Amazon S3, Azure ADLS, Google Cloud Storage) as well as stream data sources (such as Apache Kafka). Pinot was built by engineers at LinkedIn and Uber and is designed to scale up and out with no upper bound. Performance always remains constant based on the size of your cluster and an expected query per second (QPS) threshold. Brought to you by Confluent, Pinot, and Data Science DC, part of Data Community DC. Come join us to learn how to give users real-time analytics! 🎉
Hello Kafkateers! Our friends at Walmart Labs DC Metro will be hosting an online meetup on Tuesday, January 26th with our own Tim Berglund and you are invited! You can find the registration link and agenda for the meetup below. **VERY IMPORTANT: To register to attend, please follow this link. There you will find the directions, further details and reminders for this meetup.** https://www.meetup.com/Walmart-Labs-DC-Metro/events/275583554/ Title of Talk: Intro to Stream Processing Speaker: Tim Berglund, Sr. Director, Developer Advocacy, Confluent Abstract: Modern businesses have data at their core, and this data is changing continuously. How can we harness this torrent of information in real-time? The answer is stream processing, and the technology that has since become the core platform for streaming data is Apache Kafka. Among the thousands of companies that use Kafka to transform and reshape their industries are the likes of Netflix, Uber, PayPal, and AirBnB, but also established players such as Goldman Sachs, Cisco, and Oracle. Unfortunately, today’s common architectures for real-time data processing at scale suffer from complexity: there are many technologies that need to be stitched and operated together, and each individual technology is often complex by itself. This has led to a strong discrepancy between how we, as engineers, would like to work vs. how we actually end up working in practice. In this session we talk about how Apache Kafka helps teams deliver on the systems they are building today: complex suites of microservices with demands to compute analytics about their activity in real time. We’ll introduce the Kafka ecosystem and show how it lends itself to systems that finally deliver on the promises of evolvability and real-time insight. Bio: Tim is a teacher, author, and technology leader with Confluent, where he serves as the Senior Director, Developer Advocacy. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Distributed Systems, and is the author of Gradle Beyond the Basics. He tweets as @tlberglund, blogs very occasionally at http://timberglund.com, writes at https://cnfl.io/blog-tim-berglund, is the co-host of the http://devrelrad.iopodcast, and lives in Littleton, CO, USA with the wife of his youth and their youngest child, the other two having mostly grown up.