A quick walk-though of Imply quickstart. Learn how to set up Imply and load some example data.
Learn some of the best practices for deploying Druid on Amazon Web Services (AWS), Google Cloud, Microsoft Azure, or your own infrastructure.
In this webinar, a creator of Apache Druid covers the current state of real-time and streaming analytics, architectural challenges and design considerations.
Dr. Bortnikov @ Verizon Media: Ingestion and queries of real-time data in Druid are performed by a software component named Incremental Index (I^2).
This talk will cover how GameAnalytics built a cloud architecture using AWS Kinesis & Apache Druid via Imply Cloud to analyze activity on 16 billion sessions.
Real Time Analytics with Druid, Apache, Spark, and Kafka by Daria Litvinov. A talk from Druid meetup at Outbrain on November 2019.
In this 3 minute video, Itai Yaffe from Nielsen explains why they moved from Elasticsearch to Apache Druid as infrastructure for their marketing analytics.
A short explanation of how Theta Sketches, a fast approximation algorithm for Druid, work.
Learn how Nielsen Marketing Cloud used Apache Druid to Built a cloud-based architecture to serve up real-time query response against 10s of terabytes per day.
Yotam Spencer, Head of Data Engineering at WalkMe discusses how they use Druid / Imply Cloud for user behavior analytics, with a dive into bloom filters also.
Filip Jaros at Pinterest , discusses how they went from nothing to serving all ads data requests via Druid.
Vadim Ogievetsky shows off the new Data Loader and SQL Query Builder and Gian Merlino discusses coming enhancements including SuperBatch, Druid SQL and JOINs.
A brief look at Apache Druid’s rollup feature that greatly speeds queries and reduces storage requirements.
In this webinar, Imply Chief Product Officer and co-founder Vadim Ogievetsky demonstrates some of the new features in the latest Apache Druid release.
A quick run through installing Druid on a single server and using the new Data Loader and SQL View to ingest and query a Wikipedia edits file.
This webinar covers clickstream analytics using Apache Druid, a broad sets of use cases including analytics for marketing, e-commerce, apps, games and more.
In this webinar, Vadim Ogievetsky, CPO at Imply, will demo new Imply 3.0 capabilities including Data Loader, Alerts and Imply Manager.
A demonstration of ad hoc interactive analysis (OLAP operations) on network data such as network telemetry, Netflow and syslog data.
A walk-through of the Druid cluster management functionality in Imply Manager.
Online talk about microservices and analytics featuring Confluent (Kafka) and Imply (Druid) Experts
This talk covers the current state of the streaming analytics world.
FJ Yang, CEO of Imply, spoke at Data Driven NYC in June 2019 where he shared the history of Apache Druid and introduced the concept of data rivers.
Learn about Druid and Imply through an end-to-end Imply Cloud demo including deployment, use and management with Imply’s co-founder, Vadim Ogievetsky.
Connecting Druid to an Apache Kafka topic using the Data Loader
In this podcast episode, Jad Naous (@jadtnaous) and Frank Chen (@withfries2) discuss this change and the startup opportunities these changes create.
In this talk given at Kafka Summit 2019, Eric Graham and Rachel Pedreschi of Imply will discuss and demonstrate streaming analytics pipelines.
A walk-through of Imply Cloud, Imply’s AWS based managed Apache Druid service.
Learn about how Apache Kafka and Apache Druid can be combined to form an end-to-end streaming analytics stack.
A quick walk-though of Imply quick start. Learn how to set up Imply and load some example data.
Netflix shares their experience of using Druid and how it has helped provide the best streaming experience to their users through a series of lightning talks.
Imply’s cofounder and CTO, Gian Merlino, presents about Druid and operational analytic databases.
A brief interview with Imply’s CTO and cofounder, Gian Merlino.
Learn about how open source streaming technologies such as Apache Kafka and Apache Druid can be combined to analyze network traffic data.
Imply is an operational data analytics platform that is designed from the ground up for event-driven data.
Learn more about how Druid can power exploratory workflows that go beyond dashboarding and reporting.
Learn how to build an end-to-end streaming analytic stack by combining a message bus (Apache Kafka), a stream processor, and a query engine (Apache Druid).