Distributed Data Show
Summary: The Distributed Data Podcast is your weekly source for the latest news and technical expertise to help you succeed in building large-scale distributed systems. Brought to you by the Developer Advocate team, we go in-depth with DataStax engineers and special guests from the broader data community. New episodes each Tuesday.
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- Artist: DataStax Developers
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Podcasts:
Patrick and Holden talk about the highlights of Spark 2.4, what's coming in Spark 3, and why code reviewers are vital to open source projects
Distributed Data Show Episode 83: Transactional ML? Yes you Can! with Carter Bradford by DataStax Developers
Distributed Data Show Episode 82: Is The Earth Shaking? With Frank Sepulveda by DataStax Developers
Distributed Data Show 81: Searching For Success with Alice Lottini and Riccardo Carrera by DataStax Developers
In this episode Jeff talks with Max Melnick about how he got into analytics consulting with Deloitte (no, he's not an accountant), and how the Mission Graph capability Deloitte has built on top of DataStax Enterprise helps analysts leverage complex networks to detect financial fraud, terrorism, and even supply chain vulnerabilities.
Différents profils assistent aux Developers Days organisés par DataStax et pas uniquement des développeurs. Nous interviewons aujourd'hui Mr Grain, architecte qui nous explique les cas d'usages qu'il entrevoit pour une banque.
After running 6 DataStax Developer Days Events in multiple cities around the world, Patrick McFadin and Cedrick Lunven take a few minutes to wrap up, provide some developer feedbacks and trendy technical subjects before opening perspectives for next year. Highlights 00:15 Introduction of Patrick and Cedrick 00:30 Last Developer Day of six in Paris 01:15 Cedrick gives overview of the Developer Days 02:00 Wanted to hear from the developers attending and their use cases 02:45 What's on the minds of developers in late 2018? 02:58 The cloud 03:55 "Its really hard to run in one environment..." 04:23 "You always start with the database..." 05:02 Discussing the live demos 05:47 Doing bad things to the cluster during the live demo 06:43 "Its a very simple demo but its shows a powerful thing..." 07:48 Expanding on the use of Cassandra 08:10 Learning how to use Solr/Search 09:04 "It makes for a lot better experience for developers because..." 09:26 Cedrick discusses is track: Application Development on top of Cassandra 10:03 Discussing the driver 10:47 "Oh! The driver can do all that for me!" 11:10 What drivers are developers using? 11:24 Discussion on Node.js driver 11:46 Discussion on Python 13:27 Networking event/happy hour at the end of each Developer Day 14:20 Where should we have our next Developer Day? What kind of content do you want to see? 14:53 We do these Developer Days inside companies as well 15:27 Wrap up -- leave suggestions below!
Kafka Connector is a new and long awaited functionality in DataStax Enterprise 6.7. Chris Splinter, product manager, explains us what the connector is able to do and provide some details how it can help and empower developers.
What’s new in DSE 6.7! Information and discussion about DSE Metric Collector, improvements to Search, improvements to back-up and point-in-time restore, and finally the long awaited DSE Kafka connector!
In this episode Adron Hall speaks with Luc Perkins about his work at the CNCF, Kubernetes, and where projects are heading and what projects they're working on. Adron also speaks with Luc about docs, projects he's been seeing that are really interesting, skeleton code for projects, and lot's of other topics.
Over the past 4 years, Caroline has worked as a solutions engineer to help many customers adopt Apache Cassandra and DataStax Enterprise. In this episode Caroline shares how these conversations with those customers have changed over time, from an initial focus on scaling out databases, to an emphasis on microservices architecture, to a high level interest in using machine learning to get insights from data.
In this episode Adron talks with Travis about starting and working site reliability in a large retail enterprise. They tackle topics ranging around outages, database sizing, monitoring and observability, disparate workloads and migrations between cloud providers. Then Travis and Adron head into discussion about distributed cache and some of the questions we would need to ask to determine the functionality needed. The episode then wraps up with a few outtakes at the end.
This week, we sit down with Shogo Hoshii and discuss use cases for Cassandra clusters with NoSQL.
This week, we talk to Carlos Rolo about upgrading Cassandra clusters. Keep watch, there might be a horror story or two!
Distributed Data Show Episode 70: Adding a Graph Database to Legacy Applications
