January 21, 2021
In this webinar we will discuss:
January 21, 2021
if you’re considering using it for interactive analytics, be advised that it’s quite common to see companies struggling with Elastic-based analytic solutions.
January 19, 2021
The three main challenges with multi-tenant applications are cost, performance, and data management.
January 19, 2021
Gian Merlino covers Druid’s use of tiers, lanes and priorities to address QoS and deliver consistent performance as you scale demand.
January 14, 2021
Data apps let business users explore and investigate all of a company's event data and come to insights that impact day-to-day and long-range decision making.
January 6, 2021
Outbrain’s real-time analytics architecture consists of modern big data technologies like Kafka, Spark, Druid and Imply Pivot for query and visualization.
January 5, 2021
In this video, Sharanya Santhanam from Lyft explains the key technical reasons why they chose Druid as the engine for their real-time data pipeline.
January 5, 2021
Take a look at Lyft’s modern data architecture. They have an app implemented in Flink that reads real-time event data from Kinesis and transforms the data.
January 5, 2021
Lyft uses Apache Druid for three core use cases: geo-spatial data lookups for rideshare customer service, analytics on AWS cloud infrastructure spend.
January 5, 2021
We will explain how Apache Druid enables self-service BI on event data and allows business users to ask their own questions leading to real-time insights.
December 24, 2020
A look at how Druid builds on the long history of database engines, and what that means for technologists and decision-makers.
December 10, 2020
A telling of the tale of how Druid can optimize data as it is ingested, turning it into a format perfect for interactive, real-time analytics.
December 8, 2020
Catch all of the amazing highlights from our free Virtual Druid Summit. We had four amazing events that took place between April 10 to November 20, 2020.
November 25, 2020
Learn more about how Imply powers real-time data applications. In this demonstration video, Sales Engineer Vasilis Vagias walks you through the product.
November 11, 2020
Want to see how to set up, use and manage Imply Cloud for real-time self-service analytics at scale?
November 11, 2020
This talk provides an introduction to Apache Druid including: Druid's core architecture and its advantages.
October 29, 2020
Data applications are visually-oriented and designed for non-analysts to investigate and explore large, fast-moving data sets.
October 29, 2020
What do data applications need? Imply CTO Gian Merlino boils it down to 5 key things.
October 29, 2020
In this talk, we walk through how we run Druid on spot instances.
October 29, 2020
Data applications are visually-oriented and designed for non-analysts to investigate and explore large, fast-moving data sets.
October 21, 2020
Target explains why they built a custom analytics platform, focusing on self-service development, discovery /collaboration of data, and to ensure scalability.
October 21, 2020
In this short video, Jeremy Woelfel of Target explains how unions allow them to blend their data.
October 21, 2020
Jeremy Woelfel of Target explains how they ingest their data, the impact of cardinality, metrics collection, Thetasketch approximations, and more!
October 14, 2020
Gian Merlino discuss why you can never find that single perfect system and how to think about & evaluate data on a temperature-based spectrum.
October 12, 2020
Ben Sykes discusses how Netflix created its metrics pipeline to ensure a high-quality streaming experience & how they structure their Apache Druid cluster.
October 12, 2020
In this short video, Ben Sykes of Netflix explains Druid roll-up, the impact of high cardinality, and segment sizing.
October 5, 2020
Learn how Druid provides sub-second response times over billions of rows and why performance scales predictably with data growth.
October 1, 2020
Raigon Jolly explains how they use Imply Clarity to monitor Druid's performance and pinpoint and resolve issues.
October 1, 2020
Raigon Jolly, explains how Imply enables Trafficguard's technical and non-technical employees to analyze data at the speed of thought.
October 1, 2020
In this Virtual Druid Summit excerpt, Raigon Jolley, Head of Analytics @ TrafficGuard shares their success with Imply.
September 21, 2020
At Twitch, data is at the center of all decisions. To empower data-driven decisions at the company, they needed a self-service analytics platform.
September 21, 2020
Learn the main advantages Twitch has experienced while using Pivot.
September 21, 2020
Nicholas Ngorok of Twitch gives an in-depth explanation of Twitch’s Apache Druid architecture and ingest self-service tooling.
September 10, 2020
Here’s a little treat, a fun gource video that shows the journey that Druid code has taken.
August 31, 2020
In this demo from Kafka Summit 2020, we'll show you how Imply plus Kafka enables self-service hot analytics through a real-time data platform.
August 31, 2020
See how anyone can leverage Imply to reveal insights in milliseconds; regardless of their technical ability or data scale.
August 25, 2020
In this talk, we'll reflect on why you can never seem to find that single perfect system, and how to think about their capabilities on a spectrum.
August 24, 2020
In this talk, we will start with an overview of Apache Druid followed by a look at several examples of how Druid is being used in the real-world.
August 21, 2020
A key reason why NTT chose Imply’s self-service analytics platform over open-source Apache Druid was because of Imply Pivot.
August 20, 2020
In this webinar excerpt, learn why NTT chose Apache Druid over Elasticsearch, InfluxDB, and Cassandra.
August 19, 2020
A common use case of Imply’s self-service analytics platform is to store, analyze, and visualize different types of networking data.
August 12, 2020
In this video excerpt, Imply Technology Evangelist Peter Marshall provides an in-depth technical explanation of what's inside an Apache Druid cluster.
August 12, 2020
In this video clip, Imply Technology Evangelist Peter Marshall breaks down the step-by-step processes that occur once data is in Druid.
August 6, 2020
Learn how NTT, the owner and operator of one of the largest global tier-1 IP backbones, uses Imply for self-service analytics for network telemetry.
July 31, 2020
In this talk, each of the components of an Apache Druid cluster is described
July 21, 2020
This talk explains how we evaluated Druid’s performance using the Star Schema Benchmark (SSB).
July 9, 2020
In this webinar excerpt, Imply co-founder Gian Merlino explains the attributes of hot, warm and cold analytics and use cases for hot analytics in particular.
July 7, 2020
Industry standard benchmarks show that Imply delivers 12 times the price / performance of Google BigQuery.
June 30, 2020
For Walkme's use case, Elasticsearch did not meet their criteria. They needed a system that could provide real-time analytics.
June 24, 2020
Data warehouses struggle with hot analytics use cases because they are too slow, unable to scale, or too expensive.
June 23, 2020
Query laning works like an HOV lane. It provides prioritized access to a subset of resources for urgent queries.
June 22, 2020
The addition of JOINs simplifies data pipelines and creates substantial cost savings by reducing storage costs, data ingestion costs, and maintenance costs.
June 22, 2020
The addition of JOINs helps reduce cloud data storage and compute costs for Apache Druid users.
May 22, 2020
Learn how Cisco safely queries multi-tenant data sources using an API proxy and gRPC calls that are translated into SQL queries for Druid.
May 22, 2020
See Cisco’s real-time ingestion architecture, which includes applications that ingest real-time streaming data to a set of Kafka topics
May 21, 2020
The most recent Imply 3.3 release, based on Apache 0.18 brings several major new features, including joins, query laning and Clarity Alerts.
May 15, 2020
A key reason why Druid fits in DBS's ecosystem is because of its "native real-time capabilities and integration with Kafka
May 15, 2020
Arpit Dubey shares how they solve the toughest problems around anti-money laundering (AML) utilizing a data river architecture.
May 14, 2020
Ramesh Kampanna walks us through an implementation that includes Bitbucket, Terraform and Jenkins.
May 13, 2020
Karthik Urs, Lead Member of Technical Staff from Athena Health quickly runs through their Apache Druid architecture.
May 13, 2020
What separated Druid from other options they were using such as Cassandra & Snowflake was its sub-second response, low latency and support for high concurrency.
May 12, 2020
Druid is great for helping analysts troubleshoot and find root causes to issues as well as monitoring and looking into the current status of a system.
May 12, 2020
Apache Druid PMC Chair and Imply co-founder Gian Merlino classifies data into three different temperatures (Hot, Warm, and Cold).
May 12, 2020
Apache Druid PMC Chair and Imply co-founder Gian Merlino shares what he and the Imply team are working on regarding the Druid roadmap.
April 29, 2020
BT partnered with Imply to help reduce their overall maintenance costs and free up valuable engineering resources to work on higher value business problems.
April 29, 2020
The main deciding factors in choosing Druid were because of use case fit and the ability to support streaming data.
April 29, 2020
In this clip, you will receive a high-level overview of BT's Druid Architecture. Pankaj Tiwari walks us through the components of BT’s Druid architecture.
April 28, 2020
In this Virtual Druid Summit clip, Twitter shares their experience of dividing their cluster up into multiple tiers.
April 28, 2020
Twitter uses Clarity to monitor their production Druid cluster. In some cases, severe and difficult issues were found because of Clarity.
April 10, 2020
In this clip, we share common best practices for deploying Druid on the cloud.
April 10, 2020
In this clip, we share best practices for deploying Druid in a Kubernetes cluster.
April 10, 2020
This video clip shares recommendations for running Apache Druid on services such as Azure VM, Azure Blob Storage, and Azure Database Service.
April 10, 2020
We share best practices for running Apache Druid on services such as S3, Amazon Aurora, MySQL, and more.
April 10, 2020
In this clip, we share best practices for leveraging GCP services such as Compute Engine, Cloud Storage, and Cloud SQL.
April 10, 2020
This video provides an overview of the Druid Architecture. Delving into the rules and components of each process and how they interact with each other.
March 29, 2020
Learn some of the best practices for deploying Druid on Amazon Web Services (AWS), Google, Microsoft, or your own infrastructure.
February 19, 2020
In this webinar, a creator of Apache Druid covers the current state of real-time and streaming analytics, architectural challenges and design considerations.
February 3, 2020
Dr. Bortnikov @ Verizon Media: Ingestion and queries of real-time data in Druid are performed by a software component named Incremental Index (I^2).
January 22, 2020
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.
January 13, 2020
Real Time Analytics with Druid, Apache, Spark, and Kafka by Daria Litvinov. A talk from Druid meetup at Outbrain on November 2019.
January 6, 2020
In this 3 minute video, Itai Yaffe from Nielsen explains why they moved from Elasticsearch to Apache Druid as infrastructure for their marketing analytics.
December 18, 2019
A short explanation of how Theta Sketches, a fast approximation algorithm for Druid, work.
December 11, 2019
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.
November 13, 2019
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.
October 23, 2019
Filip Jaros at Pinterest , discusses how they went from nothing to serving all ads data requests via Druid.
October 22, 2019
Vadim Ogievetsky shows off the new Data Loader and SQL Query Builder and Gian Merlino discusses coming enhancements including SuperBatch, Druid SQL and JOINs.
October 19, 2019
A brief look at Apache Druid's rollup feature that greatly speeds queries and reduces storage requirements.
October 9, 2019
In this webinar, Imply Chief Product Officer and co-founder Vadim Ogievetsky demonstrates some of the new features in the latest Apache Druid release.
September 26, 2019
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.
August 28, 2019
This webinar covers clickstream analytics using Apache Druid, a broad sets of use cases including analytics for marketing, e-commerce, apps, games and more.
July 30, 2019
In this webinar, Vadim Ogievetsky, CPO at Imply, will demo new Imply 3.0 capabilities including Data Loader, Alerts and Imply Manager.
July 29, 2019
A demonstration of ad hoc interactive analysis (OLAP operations) on network data such as network telemetry, Netflow and syslog data.
July 15, 2019
A walk-through of the Druid cluster management functionality in Imply Manager.
June 20, 2019
Online talk about microservices and analytics featuring Confluent (Kafka) and Imply (Druid) Experts
June 12, 2019
This talk covers the current state of the streaming analytics world.
June 12, 2019
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.
May 16, 2019
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.
May 16, 2019
Connecting Druid to an Apache Kafka topic using the Data Loader
May 1, 2019
In this podcast episode, Jad Naous (@jadtnaous) and Frank Chen (@withfries2) discuss this change and the startup opportunities these changes create.
April 2, 2019
In this talk given at Kafka Summit 2019, Eric Graham and Rachel Pedreschi of Imply will discuss and demonstrate streaming analytics pipelines.
February 19, 2019
A walk-through of Imply Cloud, Imply's AWS based managed Apache Druid service.
November 19, 2018
Learn about how Apache Kafka and Apache Druid can be combined to form an end-to-end streaming analytics stack.
November 15, 2018
A quick walk-though of Imply quickstart. Learn how to set up Imply and load some example data.
November 14, 2018
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.
November 1, 2018
Imply's cofounder and CTO, Gian Merlino, presents about Druid and operational analytic databases.
October 31, 2018
A brief interview with Imply's CTO and cofounder, Gian Merlino.
October 10, 2018
Learn about how open source streaming technologies such as Apache Kafka and Apache Druid can be combined to analyze network traffic data.
July 18, 2018
Imply is an operational data analytics platform that is designed from the ground up for event-driven data.
July 21, 2017
Learn more about how Druid can power exploratory workflows that go beyond dashboarding and reporting.
February 23, 2017
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).
April 13, 2016
A look into what is needed to support OLAP for a big distributed data platform.
Because Outbrain processes billions of impressions and events a day, they risk running into scaling problems.
