Distributed Data Show: Recent Episodes
DataStax Developers
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.
The Distributed Data Show brought you the latest news and technical expertise to help you succeed in building large-scale distributed systems. In the series FINALE (yes finale <3), reminisce past episodes with DataStax's Jeff Carpenter and Sam Ramji as they discuss the original inspiration behind the series and more. And you won’t want to miss out on what's coming next … But first, a big thanks to our listeners, and to all who contributed!
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Ben Covi joins the show to discuss dse-pronto, a framework he helped create at Intuit for automating deployment and management of DataStax Enterprise clusters. We learn about the origins and capabilities of dse-pronto, the process of inner-sourcing and open-sourcing the framework, and Ben's invitation to the community to for suggestions and improvements.
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Cedrick Lunven talks with Mark Paluch, Spring Data Lead at Vmware, about the origins of the Spring Framework, how he got involved with Spring Data, and the 3.0 release of the Spring Data Cassandra module, which is based on the DataStax Java Driver 4.x series.
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When will Cassandra 4.0 be ready? DataStax VP of Engineering Josh McKenzie joins Aleks Volochnev to discuss his background as a member of the Project Management Committee for Apache Cassandra and the community collaboration involved in delivering the next major release of our favorite open source database.
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Russ Spitzer returns to the show to discuss the benefits of combining Cassandra and Spark, the new release of the DataStax Spark-Cassandra connector, and why the proprietary features that used to ship with DataStax Enterprise have now been merged into the open-source project. We also check in on the Spark 3.0 Beta and discuss the tradeoffs in various ways you can deploy Spark and Cassandra together.
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As infrastructure engineers, we have plenty to do. Even with all the cool DevOps tooling out there helping us do more with less, we still have situations that demand our attention. Raghavendra Prabhu and Yelp has been working on this problem with their Kubernetes enabled tool, PaaSTA. Yelp is able to assemble stacks quickly to give developers the fast track to being productive. We have a great conversation about the future of Cassandra and Kubernetes and maybe you'll be convinced that the robot uprising may not be all bad.
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Chris Bradford is a product manager at DataStax who's focus is on Kubernetes (K8s) and how users can utilize Cassandra in this fast moving project. He gives us some deep insights into how we got here and some important details on being successful when deploying Cassandra in your Kubernetes environment. We finish with some predictions on where the next 5-10 years look for cloud native databases.
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Alan Gibson has been working with the rest of the team at Sky UK to join the awesome forces of Apache Cassandra and Kubernetes. Sky took a methodical engineering approach to understanding the problem and how to make Cassandra truly cloud native. From CI/CD and test to running production across multiple clouds, you will find his insights invaluable as you begin your own journey into Cassandra and Kubernetes.
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Join David Jones-Gilardi as he interviews Jonathan "Shooky" Shook from DataStax, and Mick Semb Wever from TheLastPickle as they delve into the new NoSQLBench open source benchmarking tool for Apache Cassandra. If you weren't testing your data models before, now you have no excuse.
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Kathryn Erickson joins the show to double-click on a few of the exciting possibilities she's tracking with the potential for continued improvement in Cassandra performance. Hardware options on the horizon include persistent memory, FPGAs and networked storage). At the operating system level, she's tracking asynchronous IO support in Linux via the io_uring library. Java performance continues to become more predictable with the Z Garbage Collector (ZGC), which is already available as an experimental option in Java 12. Finally, Cassandra specific improvements include adding a pluggable storage engine API, and automated operations (AIOps) for more efficient tuning and collaboration between nodes.
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In this day of stay at home orders and social distancing the advocate team at DataStax had to rethink how to provide quality workshops while completely online. We share the inside story of how we scaled the registration process, the tools we use to deliver the workshops, and some surprising benefits of going fully remote.
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Rahul Singh of Anant talks with Cedrick Lunven about open source communities in the COVID-19 era, and why Cassandra's 4.0 release will be the springboard for an even brighter future.
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Rahul Singh of Anant talks with Cedrick Lunven about his background building a consultancy around Cassandra, why he loves Lucene, and how he got involved in maintaining Awesome Cassandra, an aggregation of the best Cassandra resources.
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In Part 2, we're continuing our discussion with Mike Loukides of O'Reilly Media from last week's episode, we dive into data privacy and how when we know we've crossed the line of violating the anonymity of people's social and physical fingerprints. We also discuss how interoperability and APIs are essential for securing data pipelines from the user all the way down to the database.
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One of the hardest areas in getting AI projects into production is operationalizing data. In this episode, Mike Loukides of O'Reilly Media joins Dr. Denise Gosnell and Jeff Carpenter to discuss how data provenance impacts our ability to get the most out of our data, using COVID-19 as an example.
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Longtime Cassandra community member Erick Ramirez shares how he got started on this journey, why he answers so many questions on the Cassandra Slack channel, email list, and forums at community.datastax.com, and the hardest Cassandra questions he's been asked.
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Continuing the conversation from last week's episode, DataStax Chief Strategy Officer Sam Ramji shares how open source projects can increase the pace of innovation through multiple speed lanes, the moral imperative of using AI to automate database operations, and why the 2020s will be the decade of scale-out data.
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DataStax Chief Strategy Officer Sam Ramji shares about his experience in working with multiple open source communities including the Cloud Native Computing Foundation, how DataStax is changing our posture toward open source, and his thoughts on how we can improve interaction in the broader Cassandra community. We also offer a sneak peek of part two of our conversation which will continue in next week's episode.
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David talks with Heidi Waterhouse about her role as a Developer Advocate at LaunchDarkly, explains how LaunchDarkly helps developers up their feature flag game, and discusses how cleaning up our big data can actually lead to more insights, not less.
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We are joined today by Jesse Anderson who is in pre-press on his book, Data Teams. Jesse has been wringing value out of data for a long time and is ready to share his insights on how you can join the can't-to-can club. We go over some of the important questions you should be asking as you create or improve your data teams. Is your team worth 1 trillion dollars? Let's find out.
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Jeff Carpenter sits down with Dr. Denise Gosnell to discuss how they work to incorporate the human element and storytelling in their writing about distributed data topics. Denise and Jeff both have books coming out with O'Reilly Media this spring: The Practitioner's Guide to Graph Data: http://shop.oreilly.com/product/0636920205746.do and Cassandra: The Definitive Guide, 3rd Edition: http://shop.oreilly.com/product/0636920299837.do.
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David catches up with Jonathan Ellis about his DataDay Texas presentation on the predictions on the future of machine learning, the cloud, open source, hardware, and graph databases within the next 5 years. You won't want to miss this!
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Join us on this podcast as Patrick McFadin and Denise Gosnell talk about the popularity of Python and the real surge in popularity it's seeing in the past few years. Pandas, Tensor Flow and killer robots? Data Engineering is standardizing around Python and making lives better. Find out about what it is, where to get started and maybe a few things you never knew.
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Chris Splinter, Product Manager at DataStax, joins the show to share the story behind improved open source support in the DataStax Kafka Connector, the bulk loader DSBulk, and the DataStax Cassandra drivers.
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Patrick McFadin and Jeff Carpenter discuss how to know when you've run out of capacity on your relational database and provide a recipe for migrating to Cassandra: 1) adapting your data model, 2) adapting your application, 3) planning your Cassandra deployment, 4) executing the migration.
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Patrick and Jeff share why DBAs are the biggest cheerleaders for our Cassandra Developer Workshops and some of the top things DBAs wish developers knew about Cassandra.
0:00 - Jeff and Patrick talk about our upcoming developer workshops and how we get into the code as quickly as possible: https://www.datastax.com/events/cassandra-developer-workshop-new-york https://www.datastax.com/events/cassandra-developer-workshop-london https://www.datastax.com/events/cassandra-developer-workshop-paris https://www.data
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Recently KubeCon 2019 was held in San Diego where we released the DataStax Kubernetes Operator. With KubeCon finished up I caught up with Christopher Bradford, Product Manager for the operator, about this release.
00:30 - 01:12 The not secret name of the DataStax Enterprise Operator for Kubernetes, or as I call it the DSE K8s Operator. 01:13 - 02:28 Discussing KubeCon, which reached 12k attendees this year! 02:29 - 04:19 What is the DataStax mission in creating a K8s Operator? How to squelch the complexity
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We previously discussed Mircoservices almost two years ago (https://www.youtube.com/watch?v=z1Kanef1QTk), now we're revisiting with Cedrick and Aleks to ask: Has microservices evolved since then?
Related links and webinar you can find on our website including a demo. Slides https://drive.google.com/drive/u/1/folders/1sjgR2dnB4Hivcd00TLpPBi9KHpracamB Recordings :https://www.datastax.com/resources/webinar/scaler-vos-microservices-avec-apache-cassandratm (FR, more advanced) https://www.datastax.com/resources/
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In this episode, Cristina and David talk about Apollo, what it is, and how this can benefit frontend developers by bypassing the backend altogether.
Highlights: 1:36: What is Apollo? 3:15: How does Apollo work on the Operational side? 5:40: How does Apollo approach security? 8:00: Any other features that could benefit Frontend devs? 9:09: The user experience of Apollo 9:34: Orders of magnitude - Setting up Apollo 11:12: A UI can make or break a product 12:00: Easy & obvious is our motto 12:08: Cristina's F
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David Gilardi turns the tables on Jeff Carpenter to ask him the questions about what it took to port a Java microservice from Apache Cassandra to run on Apollo, DataStax's Apache Cassandra as a Service which is in public, free Beta.
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Graph database veteran Marko Rodriguez joins the show to discuss how he got involved with graph databases and the Apache TinkerPop project, what's coming in TinkerPop 4.0, his work in distributed computing research and stream ring theory, and the origin of that lovable Gremlin character.
Highlights: 0:00 - Jeff welcomes Marko to the show to discuss a decade of work in the Graph database community starting at the Los Alamos National Laboratory when he needed a better way to store data. Graph databases were
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Jeff Carpenter talks with Jean Armel Luce about usage of Cassandra at French telecommunications provider Orange, all the way from their first work with Cassandra 2012 to their open-source Kubernetes operator for Cassandra which is expected to be production-ready in 2020.
Highlights: 0:00 - Jeff welcomes Jean-Armel to the show. Orange has been using Cassandra since 2012. They started using this on their customer dataset which was multiple TB with 1000s of requests per second and were able to achieve higher
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Instagram engineer Michaël Figuière talks with Jeff Carpenter about the Cassandra abstraction layer his team maintains, how it helps development teams move faster, and when companies should consider creating their own abstractions.
Highlights: 0:00 - Welcoming Michaël to the show and recapping past conversations on Cassandra usage at Instagram including the RocksDB storage engine we discussed with Dikang Gu and the geographic replication approach that Andrew Whang presented at the 2019 DataStax Accelera
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Matija Gobec shares with Patrick McFadin why he started working on a new compaction strategy for Apache Cassandra and how the Cassandra community can collaborate more effectively to introduce new capabilities such as partition-based compaction.
Highlights: 0:00 - Patrick welcomes Matija Gobec to the show. 1:30 - Matija introduces the concept of compaction in Cassandra and some of the challenges with existing compaction strategies 2:53 - Existing strategies include size-tiered Compaction (the default) and
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Jeff Carpenter talks with Hiroyuki Yamada of Scalar to learn how his team have built Scalar DB, which provides a transaction capability on top of Apache Cassandra. To find out more, visit https://github.com/scalar-labs/scalardb
Highlights: 0:00 - Jeff Carpenter welcomes Hiroyuki Yamada to the show. Hiroyuki gave a very interesting talk at ApacheCon on building transactions on top of Cassandra 1:40 - Hiroyuki shares his background in distributed systems and analytics 2:10 - Got involved with Cassandra look
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Patrick McFadin connects with Carlos Rolo from Pythian at ApacheCon NA to recap the talk Carlos gave on some of the most common issues he sees in production Cassandra clusters and how to avoid them. You can listen to the full talk at https://feathercast.apache.org/2019/09/12/day-to-day-with-cassandra-the-weirdest-and-complex-situations-we-found-carlos-rolo/
0:00 - Patrick welcomes Carlos back to the show to recap his talk at ApacheCon about some of the worst cases he's seen with Cassandra clusters. New use
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Bonus episode this week! David talks with Seb and Jake about the DynamoDB Cassandra Proxy, learns it's history what it's all about, and gets all the important details for developers to understand how it works.
Highlights 00:28 - Introductions with Seb and Jake 00:47 - What is the Cassandra DynamoDB Proxy? 1:53 - What’s the backstory here? 3:44 - Give Dynamo superpowers it doesn’t already have 4:10 - DataStax culture fosters autonomy for coding up ideas 5:52 - What is the use case for the Cassandra Dyna
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Patrick McFadin and Jeff Carpenter recap their favorite talks and hallway conversations from ApacheCon North America 2019 including DataStax announcements from the keynote by DataStax CTO Jonathan Ellis.
Highlights: 0:00 - Enough talk - lets fight! 1:53 - Next Generation Cassandra Conference (NGCC) - the conference within a conference. Thanks to the Apache Software Foundation for making space. 3:42 - NGCC was focused around Cassandra 4.0 including the release of the first alpha and the testing that will be
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Marc Selwan, Product Manager for core database at DataStax, joins the show to discuss why we recently updated our recommended maximum data density for DataStax Enterprise nodes from 1 TB to 2 TB, the engineering behind this new guidance, and how this can save users money.
Highlights: 0:00 - Intro 0:27 - We learn about Marc's background which includes everything from gaming to network operations, presales engineering to product management 3:03 - In 2013, Marc got involved with the Cassandra community and en
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Patrick and Jeff cover some of the universal questions that come up on "day 2" for Cassandra users around batches, lightweight transactions, secondary indexes, and materialized views. They also challenge some of the biases around using Cassandra for use cases such as banking.
Highlights: 0:23 - Recapping a great day hosted by Yahoo! Japan 1:20 - Introducing some of the universal questions we hear no matter where we are in the world 4:11 - Many of the questions we hear most frequently have to do with skil
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Patrick talks with longtime Cassandra contributor and committer Yuki about his background with Cassandra, Change Data Capture, and the state of the Cassandra community in Japan.
0:00 - Patrick welcomes longtime Cassandra contributor and committer Yuki to the show and we learn what attracted Yuki to Cassandra 2:55 - Yuki and Patrick talk about what it was like working with early Cassandra releases before CQL 4:03 - Yuki's efforts on translating documentation into Japanese led to his becoming a Cassandra com
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It's always interesting to discuss technologies with real experts like Carlos Rolo, so we can't let him go without some questions answered. What are the most awaited version four features, who gets the biggest win from ZCS and why sidecar project is so important? All of these plus best and worst use-cases for Cassandra discussed in our new release of Distributed Data Show!
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Listen as Stephen Mallette gives us the drop on the latest with Tinkerpop 3.4 while elevating our Gremlin game with tips on becoming an advanced user and using application based DSL's.
Highlights: 00:54 - what's going on with Tinkerpop 3.4 01:49 - what is version 3, what does that mean? 02:22 - lots of new contributions from the Tinkerpop community 03:31 - discussing changes for 3.4 05:21 - 3.4 is out and ready to go 05:51 - developing parity across different language variants 07:19 - A better serializatio
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This week the EMEA DataStax crew takes over the DDS to provide feedbacks about the DataStax Conference and announcements made during keynotes. This was also an occasion to highlight the talk Timeseries at scale performed by Alice and Patrick.
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Host Aleks Volochnev sits down with Netflix Cloud Database Architect, Vinay Chella to discuss Full Query Logging, how Sidecar makes ops people happy and why Netflix already plans to migrate to version 4? A lot is discussed, so stay tuned!
Timeline: 00:00 Welcome 00:25 Introduction 01:53 Vinay's Talk I @ Accelerate 02:00 Full Query Logging 03:00 Vinay's Talk II @ Accelerate 03:20 What are you working on right now? 03:25 Sidecar 05:40 Performance Monitoring 06:40 Netflix' Technical Blog 07:05 Version Four 0
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Starting off this episode Adron and Kat (Kathryn Erickson) kicks off the discussion with a little focused camera angle on the DataStax Accelerate 2019 Conference! Adron and Kat elaborate on DataStax Desktop and also AppStax! The conversation wraps up with details around DataStax Enterprise Graph, and future direction around that technology.
Afterwards Amanda joins Mattias Broecheler for more discussion around the Desktop and AppStax technology. Mattias explains the focus, ideas behind, and core features th
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TheLastPickle, DataStax Accelerate, and exciting updates coming in Apache Cassandra 4.0.
Cedrick talks with John Haddad and Alex Dejanovski from TheLastPickle to discuss their presentations at DataStax Accelerate along with Apache Cassandra tools managed by TLP and new updates coming with Cassandra 4.0.
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Donnie Roberson of the DataStax Partner team joins the show to talk about the amazing performance results observed in running DataStax Enterprise 6 on Intel's latest generation hardware including the Xeon processors and Optane DCPMM, and when and where you might be able to get your hands on this technology.
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Many DSE users have very long upgrade cycles due to time and complexity concerns. Using the CICD methodology Christopher Bradford has taken up the challenge to make the upgrade path both faster and lower risk. Today we get to dive in and take a look at what he has been up to.
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In this industry, showing the drive to expand one's technological skills is crucial. Valerie personifies this drive, and then some. We met with Valerie to discuss all things Cassandra documentation, her love of open source contributions, and some interesting projects she's working on at Pythian.
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There are not so many developers who joined the Cassandra Community in the very beginning and then never quit. Jake is one of them: he works with the Cassandra community as a PMC Member and leads a team at DataStax Enterprise for almost a dozen years already. Of course, he attended Datastax Accelerate conference and we didn't miss a chance to ask him a few questions about the past and future of Cassandra & DSE!
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In this episode, Jeff Carpenter talks with Dikang Gu about the origins of Cassandra at Instagram, an update on how the adoption of RocksDB as a storage engine for Cassandra is progressing, geographic data partitioning, and how his team is providing Cassandra as a Service inside Instagram.
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A Topical Journey Into Bulk Loading with Brian Hess | Ep. 102 Distributed Data Show by DataStax Developers
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In this episode Jeff and Adron have a quick topical discussion of some tools they're using to get work done with CQL and databases in general. Adron discusses using JetBrains DataGrip and what it's been enabling him to do, then Jeff interjects with some additional thoughts and asks the question, is Cassandra not your only database? Where Adron elaborates on how DataGrip works with many other databases, so when one is approached with work across a wide spectrum of sources they can tackle that work with DataG
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This week, Aaron Ploetz joins Eric Zietlow to discuss trends within Apache Cassandra and gives us a few resources on how to learn C*.
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Developers need new development patterns in order to embrace Cloud. As all resources are shared resiliency and security are keys.
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How has the industry changed with the rise of cloud and software as a service? What does this mean for the future? All this and more will be covered in today's Distributed Data Show.
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David chats with Cristina about her non-traditional background breaking into the tech sector, and the journey that lies ahead as she takes on her new role of Developer Advocate at DataStax.
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We talk with Chris Splinter regarding Spring Data Cassandra, a slight change in our approach in how we talk about it, and a glimpse into the possible future improvements in the Java Driver to make it easier to use with the Spring Framework.
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Spring Boot is a powerful framework helping developers building applications fast. In this episode Franck explains us how he came to Spring in the first place and what are the good and bad sides about it.
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One of the most common use cases when dealing with Apache Cassandra™ are timeSeries. After introducing the concept of Time series in a few words Alice and Cedrick will analyze why Cassandra got so much traction and detail what we see at customers, what are the pitfalls and what are today’s challenges.
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The new 2.0 version of the DataStax Java Driver introduced some new patterns for accessing your data : reactive programming. In this episode, Alexandre explains the reactive APIs available in the new driver and the "sweetspots" for when to use them.
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DataStax Engineer Alexandre Dutra gives us a tour of the new DataStax Java Driver 4.0 and offers some tips for a smooth migration for your Java app.
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Cassandra is a highly available, partition-tolerant database. In the modern world, what happens when you need strong consistency but still require the unique partition tolerance that Cassandra provides. Enter the Lightweight transaction to provide ACID like transactions in distributed Cassandra workloads.
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Go and Apache Cassandra Joining Forces with Go-Cql | Ep. 90 Distributed Data Show by DataStax Developers
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Amanda and Jeff talk about their latest project: implementing the microservice layer of KillRVideo in Python. They talk about what was easy, what was not too easy, and what was just plain fun. They spend some time on discussing recommendations engines and ask the audience should they implement this in DSE graph or using PySpark or other python package? Comment below!
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Denise Gosnell interviews Dave Bechberger live at Data Day Texas regarding challenges when developing Graph based applications, recommendations on approaches to take, and what resources are available for developers new to Graph.
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Description - Jeff and Tim talk about the most common questions developers have about Kafka and three great ways to combine Kafka with Cassandra in your applications.
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Patrick talks with Holden Karau, Developer Advocate at Google, about ways to incorporate Spark in your application without impacting performance or having to learn Scala.
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Jeff Carpenter and Amanda Moran discuss the big questions the DataStax Developer Advocate team hears most frequently from our developer community, and introduce a series of episodes to answer questions about application development.
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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
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Distributed Data Show Episode 83: Transactional ML? Yes you Can! with Carter Bradford by DataStax Developers
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Distributed Data Show Episode 82: Is The Earth Shaking? With Frank Sepulveda by DataStax Developers
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Distributed Data Show 81: Searching For Success with Alice Lottini and Riccardo Carrera by DataStax Developers
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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.
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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.
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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 developer
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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.
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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!
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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.
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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.
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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.
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This week, we sit down with Shogo Hoshii and discuss use cases for Cassandra clusters with NoSQL.
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This week, we talk to Carlos Rolo about upgrading Cassandra clusters. Keep watch, there might be a horror story or two!
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Distributed Data Show Episode 70: Adding a Graph Database to Legacy Applications
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In this episode Adron speaks with Jim Hatcher, and Jim tells us all about graph frames, fraud detection, and more. We also talk about some additional use cases and other interesting topics around where the industry is moving in regards to graph, analytics, and other business use cases that have really expanded the use of these multi-model databases.
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Jonathan Lacefield is working on efforts with DataStax Enterprise Graph, and today Adron speaks with him about graph while at San Francisco Graph Day 2018! We delve into super nodes and adjacency lists to start with. But eventually we move from the aspects of what super nodes and adjacency lists give us to what we are doing and what we’re looking for with graph data and graph database solutions
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Jonathan Ellis recounts several attempts in the history of Apache Cassandra to coerce developers into specific behaviors around issues such as sequential scans, tombstones, and joins. We discuss why these attempts didn’t work, and how to respond to developer feedback more effectively.
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Amanda sits down with Dr. Denise Gosnell at Graph Day to discuss highlights from her keynote.
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David talks with Jim Hatcher and Jeremy Hanna about use cases for fraud detection, how the landscape has changed over time, learns what fraudsters are, and how graph databases are perfect to fit the need for modern requirements.
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We talk with Josh Perryman of Expero about the current state of the art in enterprise data architectures, how he sees that changing in the future to include a broader set of database and streaming technologies, and how to deal with the resulting complexity.
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We talk with Josh Perryman of Expero about his experiences building highly scalable and performant applications using relational databases, graph databases and sometimes even both at the same time.
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This week we will be speaking with Denise Gosnell, a graph expert at DataStax. We will be discussing the excitement around Graph Day conference in San Francisco coming up on 09/15. We will also be discussing how Denise got started with graph, her keynote speech for Graph Day, and her upcoming book!
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Amanda, David, and Adron talk about the challenges associated with moving their KillrVideo reference application to a multi-cloud cluster and the many considerations that come into play when going multi-cloud.
Highlights 17:22 - “See where providers line up” what is the lowest common denominator 18:55 - Would latency be very different between providers as compared to within a single provider in any given region? 21:15 - “always know what everything is doing” 23:45 - OpsCenter allows homogenous view
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Amanda, David, and Adron talk about the challenges associated with moving their KillrVideo reference application to a multi-cloud cluster and the many considerations that come into play when going multi-cloud.
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In this episode Amanda and Adron tackle the complexities of state management across clouds in a multi-cloud environment. Adron also brings up three best practices that have come up time and time again to help ensure high integrity in state data. Join us for a dive into ways to get prepared for complex state management.
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Distributed Data Show Episode 58: Multicloud Networking by DataStax Developers
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Patrick introduces new DataStax evangelist Adron Hall and they discuss the challenges of running distributed data across multiple cloud providers.
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Today we’re tackling what confusion my exist around the various *-clouds. We have multi-cloud, hybrid-cloud, private-cloud, and so many more. After we narrow down the multi-cloud description to it’s key points the conversation begins around why we’d want something multi-cloud to begin with! It’s the beginning of a series of conversations we’re going to have around the multi-cloud space and all of the complexities, advantages, lock-in, and related topics around this new foray into distributed syste
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We talk with DataStax Vanguard Lead, Chelsea Navo about how the Vanguard team and DataStax helps enterprises transform to meet the challenges posed by disrupting technology and competitors.
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