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Architecture & Design

Change Data Capture for Distributed Databases @Netflix

Raghuram Onti Srinivasan covers the challenges associated with capturing CDC events from Cassandra, discussing the Flink ecosystem and the use of RocksDB.

Raghuram Onti Srinivasan
on May 09, 2021

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19:45
AI, ML & Data Engineering

Delivering the Power of Data Using Spring Cloud Data Flow and DataStax Enterprise Cassandra NoSQL Database

Gilbert Lau and Wayne Lund talk about using SCDF on PCF for microservice scaling and pipelining data into Cassandra.

Wayne Lund Gilbert Lau
on Apr 27, 2018

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30:17
DevOps

Taming Distributed Stateful Pets with Kubernetes

Matthew Bates,James Munnelly explain how to use StatefulSet and dynamic volume provisioning to manage the lifecycle of distributed and secure Cassandra clusters with the open source project Navigator.

Matthew Bates James Munnelly
on Apr 04, 2018

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45:57
Architecture & Design

Applied Distributed Research in Apache Cassandra

Jonathan Ellis explains the challenges and successes Cassandra has had in creating transactions, materialized views, and a strongly consistent cluster membership within this peer-to-peer paradigm.

Jonathan Ellis
on Jun 10, 2017

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01:09:27
AI, ML & Data Engineering

Real-Time Recommendations Using Spark Streaming

Elliot Chow discusses the data pipeline that they built with Kafka, Spark Streaming, and Cassandra to process Netflix user activities in real time for the Trending Now row.

Elliot Chow
on Mar 30, 2017

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47:03
AI, ML & Data Engineering

Sneek Peek at Spring Data Cassandra

Mark Paluch and John Blum present the changes in Spring Data Cassandra and what to expect from the upcoming version.

Mark Paluch John Blum
on Dec 24, 2016

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25:21
Java

Cassandra and DataStax Enterprise on PCF

Ben Lackey and Cornelia Davis start with the use cases for on-demand, dedicated DSE clusters, cover the solution design, and demo the system, touching also the support that Spring has for Cassandra.

Ben Lackey Cornelia Davis
on Dec 10, 2016

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31:29
AI, ML & Data Engineering

Rethinking Streaming Analytics for Scale

Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.

Helena Edelson
on Apr 03, 2016

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43:44
Lightning Fast Cluster Computing with Spark and Cassandra

Piotr Kołaczkowski discusses how they integrated Spark with Cassandra, how it was done, how it works in practice and why it is better than using a Hadoop intermediate layer.

Piotr Kołaczkowski
on Jun 17, 2015

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49:53
How SoundCloud Uses Cassandra

Emily Green is taking a look at how SoundCloud uses Cassandra. She describes a couple of Cassandra instances, from the point of view of the products and functionality they support.

Emily Green
on Apr 19, 2015

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42:08
Efficient Data Storage for Analytics with Parquet 2.0

Julien Le Dem discusses the advantages of a columnar data layout, specifically the features and design choices Apache Parquet uses to achieve goals of interoperability, space and query efficiency.

Julien Le Dem
on Mar 22, 2015

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38:03
NoSQL Is Dead

Eric Redmond explains the differences and commonalities amongst many kinds of databases and takes a stab at the marketing term “NoSQL.”

Eric Redmond
on Feb 06, 2015

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53:24