Skip to main content

03-October-2022 Austin Streaming / Big Data Meetup / NoSQL Real-Time Data Streaming Meetup with Aerospike & Apache Pulsar Details ## Details Come Spend the Evening before the Kafka Conference with Us! ► Free pizza and beer plus a raffle to win a rocket! Free swag-giveaways 6:30pm- Pizza & Beer - Get acquainted 6:45pm Rock, Paper, Scissors Game Presented by Tom Camp, DevRel Engineer at Ably 7:10pm -Unified Messaging & Data Streaming Presented by Tim Spann & David Kjerrumgaard, Developer Advocates, StreamNative 7:35pm- How to Get Unlimited Scale with Real-Time SLAs From Your Rich Database Apps Presented by Founder & Chief Technology Officer of Aerospike, Srini V. Srinivasan 8:00pm- Panel Discussion & Questions 8:30pm- Event ends Speaker: Tom Camp DevRel Engineer at Ably Title: Multiplayer Rock, Paper, Scissor Let’s start the evening with some light fun. We'll play a live, multiplayer game of “Rock, Paper, Scissor” (sorry, no Spock). All you’ll need is your phone and your inner child. After the game, Tom Camp from Ably will give a quick explainer on the backend used to build the game, and how the same combination can be built for building massively scalable real-time applications with: Ably for the real-time pub/sub messaging layer Aerospike for holding the true state and processing inputs into outputs Kafka for feeding user-specific details to each user Tom is a DevRel Engineer at Ably. His current interest lies in open real-time data and ways of representing and sharing it. He’s also a member of the Open API and Async API communities which work towards standardizing the specifications and capabilities of APIs. In his spare time, Tom is an avid MMO player, and loves modding with initiatives such as Runelite. Speaker: Tim Spann, Developer Advocate at StreamNative Speaker: David Kjerrumgaard, Developer Advocate at StreamNative Title: Unified Messaging & Data Streaming Utilizing the Open-Source FLiP Stack we can track aircraft overhead with ease! It does require a little bit of hardware and some Python magic. In this talk, you will learn how to build your own at home with a few bits of hardware and some easy open-source software." Tim Spann is a Developer Advocate for StreamNative. He works with StreamNative Cloud, Apache Pulsar, Apache Flink, Flink SQL, Apache NiFi, MiniFi, Apache MXNet, TensorFlow, Apache Spark, Big Data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, messaging, streaming technologies, and Java programming. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on Big Data, Cloud, IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as ApacheCon, DeveloperWeek, Pulsar Summit and many more. He holds a BS and MS in computer science. David Kjerrumgaard is Developer Advocate for StreamNative & Author of "Pulsar in Action" David is a committer on the Apache Pulsar project, and also the author of "Pulsar in Action" and co-author of "Practical Hive". He currently serves as a Developer Advocate for StreamNative where he focuses on strengthening the Apache Pulsar community through education and evangelization. Prior to that he was a principal software engineer on the messaging team at Splunk, and Director of Solutions for two Big Data startups; Streamlio and Hortonworks. Speaker: Srini Srinivasan Founder and Chief Technology Officer at Aerospike. Title: Unlimited Scale Is Not a Number Aerospike's presentation will share with you our lessons-learned over a decade of experience! The technology and systems architecture will be the focus of this presentation, along with use-cases demonstrating how the architecture improves real-time SLAs at scale. We will discuss use-cases about how to achieve large-scale real-time data processing in sectors of gaming, finance, telecommunications, e-commerce, advertising and other industries. We will also discuss the developer APIs and the key capabilities for application development using key-value, document, Spark, Presto (SQL), graph and time series databases. Srini V. Srinivasan, Founder & Chief Technology Officer, Aerospike Srini V. Srinivasan is Founder and Chief Technology Officer at Aerospike. When it comes to databases, Srini Srinivasan is one of the most-recognized pioneers of Silicon Valley. Srini is an inventor with more than 35 patents in database, web, mobile and distributed systems technologies. He has over two decades of experience designing, developing and operating high-scale real-time infrastructures. Srini co-founded Aerospike to solve the scaling problems that he experienced with Oracle databases while he was Senior Director of Engineering at Yahoo. He has a B.Tech in Computer Science from Indian Institute of Technology, Madras and both an M.S. and Ph.D. in Computer Science from the University of Wisconsin-Madison.

Popular posts from this blog

Ingesting Drone Data From DJII Ryze Tello Drones Part 1 - Setup and Practice

Ingesting Drone Data From DJII Ryze Tello Drones Part 1 - Setup and Practice In Part 1, we will setup our drone, our communication environment, capture the data and do initial analysis. We will eventually grab live video stream for object detection, real-time flight control and real-time data ingest of photos, videos and sensor readings. We will have Apache NiFi react to live situations facing the drone and have it issue flight commands via UDP. In this initial section, we will control the drone with Python which can be triggered by NiFi. Apache NiFi will ingest log data that is stored as CSV files on a NiFi node connected to the drone's WiFi. This will eventually move to a dedicated embedded device running MiniFi. This is a small personal drone with less than 13 minutes of flight time per battery. This is not a commercial drone, but gives you an idea of the what you can do with drones. Drone Live Communications for Sensor Readings and Drone Control You must connect t

Using Apache NiFi in OpenShift and Anywhere Else to Act as Your Global Integration Gateway

Using Apache NiFi in OpenShift and Anywhere Else to Act as Your Global Integration Gateway What does it look like? Where Can I Run This Magic Engine: Private Cloud, Public Cloud, Hybrid Cloud, VM, Bare Metal, Single Node, Laptop, Raspberry Pi or anywhere you have a 1GB of RAM and some CPU is a good place to run a powerful graphical integration and dataflow engine.   You can also run MiNiFi C++ or Java agents if you want it even smaller. Sounds Too Powerful and Expensive: Apache NiFi is Open Source and can be run freely anywhere. For What Use Cases: Microservices, Images, Deep Learning and Machine Learning Models, Structured Data, Unstructured Data, NLP, Sentiment Analysis, Semistructured Data, Hive, Hadoop, MongoDB, ElasticSearch, SOLR, ETL/ELT, MySQL CDC, MySQL Insert/Update/Delete/Query, Hosting Unlimited REST Services, Interactive with Websockets, Ingesting Any REST API, Natively Converting JSON/XML/CSV/TSV/Logs/Avro/Parquet, Excel, PDF, Word Documents, Syslog, Kafka, JMS, MQTT, TCP

DevOps: Working with Parameter Contexts in Apache NiFi 1.11.4+

 DevOps:  Working with Parameter Contexts in Apache NiFi 1.11.4+ nifi list-param-contexts -u http://localhost:8080 -ot simple #   Id                                     Name             Description     -   ------------------------------------   --------------   -----------     1   3a801ff4-1f73-1836-b59c-b9fbc79ab030   backupregistry                   2   7184b9f4-0171-1000-4627-967e118f3037   health                           3   3a801faf-1f87-1836-54ba-3d913fa223ad   retail                           4   3a801fde-1f73-1836-957b-a9f4d2c9b73d   sensors                         #> nifi export-param-context -u http://localhost:8080 -verbose --paramContextId 3a801faf-1f87-1836-54ba-3d913fa223ad {   "name" : "retail",   "description" : "",   "parameters" : [ {     "parameter" : {       "name" : "allquery",       "description" : "",       "sensitive" : false,       "value"