Congratulations to @qhaocs and @tsikerdekis
on the MEAP version of Grokking Relational Database Design by @ManningPub95643 . I am looking forward to being able to read the rest as it comes out.
https://t.co/sRsEr50sTF
Analyze graph data with tens of billions of connections in seconds. ☁️🏃♀️💻
Amazon Neptune Analytics finds insights in graph data 80x faster by analyzing your existing Neptune graph database or graph data from a data lake in Amazon S3. #AWS#Compute
👉 https://t.co/jJpfzmuOkA
The next TinkerPop Wide stream on Twitch will be on Wednesday, April 5th at 2pm ET - "The New Features of Amazon Neptune 1.2.1.0" with @gfxman@bechbd and @spmallette More details found in Discord and please indicate your interest in attending https://t.co/R8HCM88p4M #graphdb
Ever want an easy-to-use tool to explore your graph data?
#amazonneptune released a low-code graph explorer which is open-source and open standard compatible. #apachetinkerpop#sparql#graphdatabase
https://t.co/b4zmTzJxiC
https://t.co/ioFIKasbH1
Great start to the new year
We're now only 66 days away from @AWSreInvent 2022! Don't miss the New-and-Improved Amazon Neptune workshop. While we're waiting for reserved seating to open up, be sure to go in and give us a "Star" so you can quickly find our session once reserved seating opens! #graphdb
@Brian_W_Hall In my experience I find them a burden if I am looking at multiple offers and as an HM I found they delivered little to no actionable information. I’m curious what sort of information are you looking to get from references that is not accessible via other avenues?
Today is a special day for TinkerPop as we have 4 new committers 🎉 Please welcome Valentyn Kahamlyk, Yang Xia, Simon Zhao, and Rithin Kumar! https://t.co/SPmFFr5gr5
Come for the fast @apachetinkerpop Gremlin traversals for your #graphdb applications. Stay for the awesome art!
Thank you @KetrinaYim for making graphs even more awesome! Thank you @AWSOpen for the reminder that #OpenSource is not only code.
Have you been waiting for a multi-region #graphdb? The wait is over.
Now customers can use #AmazonNeptune across multiple @awscloud regions. Supports @apachetinkerpop, @openCypher, and #RDF to build global graph applications quickly.
https://t.co/2urtl9FTkI
Just over a month ago, Amazon Neptune released an integration with @pandas DataFrames and a few weeks ago, I was able to show off this integration on an @AWSonAir session. Now the video is up on YouTube for you to enjoy: https://t.co/CshJY3nEA7
#amazon#graphdatabase#python
Great to get to be in person again at @DataDayTexas#ddtx22 it’s been awhile. Lots of great chats already and I had fun talking about leveraging #knowledgegraphs and #gnn together.
Happy to announce the release of a project I have been working to integrate #amazonneptune with #pandas DataFrames. This removes the undifferentiated work of managing connections and translating to/from data frames and using #graph data in Python. https://t.co/RFz9UgU6i5