Distributed Data Show

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.

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

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.

Amanda sits down with Dr. Denise Gosnell at Graph Day to discuss highlights from her keynote.

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.

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.

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.

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!

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 regardless of cloud provider 24:53 - Ensure to label and identify which providers your data centers and nodes are located in 25:35 - Why would someone span a cluster over multiple providers? 27:32 - Have to be cognizant on where load balancers, name servers, etc... are located 28:38 - Exploring some use cases for multi-cloud clusters 30:02 - Providers become competitors with their clients 30:26 - Moving application and database architecture can take months or years depending on size and complexity 31:06 - Security compliance, intellectual property, tracking, geographic location of data 33:41 - Any database or application needs to take data locality into consideration 34:03 - Replication inherent in Apache Cassandra makes moving data much easier 35:01 - Amanda starts wrapping things up from easy to difficult 36:58 - Things that used to take months or years take minutes today when thinking in terms of cloud compared to procuring hardware and installing software manually

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.

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.

Distributed Data Show Episode 58: Multicloud Networking by DataStax Developers

Patrick introduces new DataStax evangelist Adron Hall and they discuss the challenges of running distributed data across multiple cloud providers.

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 systems technology.

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.