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Whitepapers
Materialize Cloud: An Overview – Sticky
Materialize is a SQL platform for processing streaming data. With nearly a decade of technical research behind it, Materialize was launched to address...
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Whitepapers
Materialize Cloud: An Overview – Static
Materialize is a SQL platform for processing streaming data. With nearly a decade of technical research behind it, Materialize was launched to address...
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Whitepapers
Materialize: An Overview
Materialize is a SQL platform for processing streaming data. With nearly a decade of technical research behind it, Materialize was launched to address...
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Video
dbt Coalesce 2021: Batch to Streaming in One Easy Step
In this talk Arjun walks through how Materialize helps you build a SQL-first streaming pipeline with real-life examples of how Materialize users are b...
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Video
Devoxx UK 2021 – Streams, SQL, Action! Up & Running with Materialize
Streaming has changed the way we build and think about data pipelines, but at what cost? In this talk, Marta covers the basic concepts of Materialize,...
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Podcasts
The Engineering Side of Data Podcast – The State of Streaming with Arjun Narayan
Arjun and Bob discuss the state of streaming from today’s early adopter phase to what has to change for streaming to eventually become mainstream. T...
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Video
DataEngBytes 2021 – Gone Streaming: dbt+Materialize
In this quick demo, Jessica walks through the Materialize-dbt adapter, which allows you to transform your streaming data in real-time using Materializ...
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Video
Data Summit Connect – Blueprints for Building a Real-Time Data Architecture
At Data Summit Connect 2021, Arjun and Frank sit down with Ruben to discuss modern data architecture and real-time data streaming, acknowledging strea...
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Video
Dataroots Tour de Tools – Materialize: Streaming Data Applications in SQL
On this episode of Dataroot’s Tour de Tools, Frank sits down with Gauthier and Bart to give a Materialize overview with a demo on live streaming...
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Podcasts
Building the Backend – Applying Transformations to Streaming Data Applications in SQL
Arjun sits down with Travis to discuss transforming streaming data, the evolution of a Cloud-first approach, and how Materialize hopes to change the s...
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Podcasts
The Data Stack Show – A New Paradigm in Stream Processing with Arjun Narayan of Materialize
Arjun talks with Eric and Kostas on The Data Stack Show, a weekly podcast powered by RudderStack. The three talk about data innovation, streaming, aut...
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Podcasts
Hashmap on Tap – SQL, Streaming Data, and a Cold Beer with Arjun Narayan, Materialize Co-Founder and CEO
Arjun joins Hashmap on Tap host Kelly Kohlleffel to discuss how Materialize started and various use cases, as well as new and exciting projects curren...
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Podcasts
The Sequel Show – The show that kicked off the podcast. With Fivetran, dbt & Materialize.
Arjun talks with George Fraser – CEO of Fivetran, Tristan Handy – CEO of dbt Labs, and Boris Jabes – CEO of Census. In this first ep...
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Podcasts
Code Story – Arjun Narayan, Materialize
Arjun speaks to Noah Labhart of the Code Story podcast about his upbringing, background, and the origins of Materialize. Listen to the Podcast ...
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Podcasts
Programming Throwdown – Real-time Data Streaming with Frank McSherry
In this episode, Frank shares expert viewpoints drawn from his years as an academic, as well as personal insights on helping run a company at the cutt...
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Podcasts
Contributor – Materialize with Frank McSherry
Frank and Eric discuss how the Materialize team is making the technology from cutting-edge data research accessible to a wider swath of users. Also di...
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Podcasts
Software Engineering Daily- Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry
Arjun and Frank join the show to talk about modern streaming systems and their strategy for taking an academic paper, the Naiad paper written at Micro...
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Podcasts
Data Engineering Podcast – Building The Materialize Engine for Interactive Streaming Analytics In SQL
Frank explains why Materialize was created, what use cases it enables, and how it works to provide fast queries on continually updated data. Listen to...
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Video
FINTECH FOCUS TV: Kepler Cheuvreux and Materialize
On this episode of Fintech Focus TV, host Toby joins Arjun and Jean-Francois Perreton, Head of Algo Quant at Kepler Cheuvreux. Learn how Materialize...
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Video
Carnegie Mellon University Database Group – Materialize: A Streaming SQL Database Powered by Timely Dataflow (Arjun Narayan, Materialize)
Arjun sits down with the Carnegie Mellon University Database Group to talk about founding Materialize and how it works....
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Video
Data Council: The Materialize Incremental View Maintenance Engine | Materialize
Frank presents a technical deep-dive on Materialize at Data Council NYC 2019. Data Council connects software engineers and data scientists around comm...
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Video
Using Segment, Kinesis, Materialize to do real-time analytics
This is meant primarily to demonstrate how the Segment + Kinesis + Materialize stack can create new capabilities around querying, joining, and ultimat...
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Video
Join Kafka with a Database using Materialize and Debezium
This is primarily meant to show you how Debezium and Materialize can be used as powerful tools for joining, reducing, and aggregating high-volume str...
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Webinars
Introduction to Materialize for Data Engineering
In this 25-minute introduction to Materialize, we’ll talk about the concepts behind it, why they’re powerful for data engineering, how it ...
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Webinars
Demo of the New Postgres Direct Source
Petros Angelatos, engineer at Materialize, walks through the new Postgres Direct Source made available in Materialize v0.8. If you have data in a Post...
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Webinars
Streaming with dbt + Materialize
If you’re already a user of Materialize, dbt gives you an amazingly useful data modeling layer that allows you to test, document and version-con...
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Webinars
How Datalot Uses Materialize in Production for Realtime Analytics
In this Materialize tech demo, Josh Arenberg, Director of Data Engineering from Datalot walks through how his company uses Materialize in production t...
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Case Study
Datalot
With Materialize, Datalot removed load from their existing SQL database. From a cost-savings perspective, using standard SQL allowed more people at Da...
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Case Study
Kepler Cheuvreux
Kepler Cheuvreux streamlined their architecture into just Materialize and Kafka, removing Postgres replicas. With timely data being vital to their bus...
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Case Study
Drizly
Once a Drizly customer abandons their cart, they are notified of their pending order in a 30-minute window, rather than a 24-hour window, which was pr...