E.g., 10/16/2018

E.g., 10/16/2018

Episode 68
Oct 11, 2018 • By: Adron Hall, Jonathan Lacefield

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

Episode 67
Oct 02, 2018 • By: Jeff Carpenter

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.

Oct 01, 2018 • By: Amanda Moran

Missed Graph Day 2018? How sad! But here is a blog to fill you in on some of the fantastic talks that were featured at Graph Day 2018!

Episode 66
Sep 25, 2018 • By: Amanda Moran, Denise Gosnell

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

Sep 21, 2018 • By: Amanda Moran

A natural language processing example using DataStax Enterprise Analytics with Apache Cassandra andApache Spark, Python, Jupyter Notebooks, Twitter API, Pattern (python package), and Sentiment Analysis

 

Episode 65
Sep 18, 2018 • By: David Gilardi

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.

Episode 64
Sep 11, 2018 • By: Jeff Carpenter

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.

Episode 63
Sep 04, 2018 • By: Jeff Carpenter

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. 

Aug 30, 2018 • By: Cedrick Lunven

Graph Databases are really effective when it comes to working with highly connected data and getting value based on relationships, as we detailed in this previous blogpost. This article focuses on integrating graph databases with web applications to implement CRUD operations, pattern detection, and visualization in the user interface. Part 1 is dedicated to environment setup and CRUD operations, and Part 2 will dig into the user interface. Let's get our hands dirty.

Aug 29, 2018 • By: Jeff Carpenter

This article discusses how you can leverage the paging features of Apache Cassandra to support a great user experience in your application, using examples from the KillrVideo reference application.