The tiered storage feature of #ApachePulsar allows infinite retention of data and event streams. This video features Streamlio's @ivankelly explaining how it works in this presentation from the #JOTB2019 conference earlier this year: buff.ly/2r0kQGM
Parts 4 and 5 of our hands-on tutorial on #ApachePulsar look at how to create a microservice to capture cryptocurrency price data and then ingest that data into Pulsar using #ApacheNiFi processors: buff.ly/2DLhPOv
One of the powerful architectural features of the #ApachePulsar#streamingdata messaging system is its decoupling of message serving and message storage. Streamlio's @ivankelly explains in this short video: buff.ly/2TRgpYa
Streamlio's @karthikz summarizes his perspective on last week's announcement that @Splunk has agreed to acquire Streamlio in this post on the Streamlio blog: buff.ly/31zzOjo
What is #ApachePulsar? This short video provides an introduction to the streaming and messaging technology created by #Yahoo to solve the challenges of modern #fastdata processing. buff.ly/2JSVQpR
From @MyTotalRetail: "3 Ways Fast Data Helps Retailers Deliver Rich Customer Experiences" by Streamlio's @karthikz discusses ways retailers can use real-time data processing to deliver an Amazon experience and better to their customers. buff.ly/36dcHyL#fastdata
Our "Introduction to Apache Pulsar" online tutorial walks you through an end-to-end example of creating a #cryptocurrency quoting application using the #ApachePulsar#streamingdata technology. Part 1 explains the example use case: buff.ly/2RnqcmL
Why did @splunk decide to acquire Streamlio (last week's big announcement) and what does Splunk have to say about the future of #ApachePulsar and its #opensource community? Read Splunk's blog post from last week to find out: buff.ly/2MvZrgQ
"High performance messaging with #ApachePulsar" presentation by Streamlio's @merlimat looks at the design and architecture that make it possible for Pulsar to deliver significantly better throughput and latency compared to alternatives. buff.ly/2PlxHuc
#Streamprocessing is becoming a critical ingredient in customer analytics. This new article in @RTInsights discusses the role of #streamingdata analytics and real-time processing in powering real-time, interactive customer engagement. buff.ly/2JlNnwL
"How Fast Data Is Driving Unexpected Innovation" from Streamlio's @karthikz looks at innovative use cases for real-time and stream data processing. link.medium.com/4GGzvc9t30