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Jordan Novet on Twitter
Jordan Novet on Twitter
Satya is excited about Microsoft's Cosmos DB momentum (>$100m in annualized revenue), given that it launched last year. 'I mean, I've been around databases for a long time and I've never seen a product that's gotten to this kind of scale this quickly,' he said— Jordan Novet (@jordannovet) April 26, 2018
·twitter.com·
Jordan Novet on Twitter
Neo4j on Twitter
Neo4j on Twitter
In this week's #twin4j @amyhodler interviews Alastair Green, @boggle, and @aethelraed about the GQL proposal that was published last week.https://t.co/HWlcwFIEwE#neo4j pic.twitter.com/xYwPXZcC55— Neo4j (@neo4j) May 27, 2018
·twitter.com·
Neo4j on Twitter
Olaf Hartig on Twitter
Olaf Hartig on Twitter
New book: "Querying Graphs" by Angela Bonifati (@ang3ela), George Fletcher (@georgehiroshi), Hannes Voigt, and Nikolay Yakovets (@nikk186)https://t.co/VufBTdGdG3— Olaf Hartig (@olafhartig) October 2, 2018
·twitter.com·
Olaf Hartig on Twitter
Olaf Hartig on Twitter
Olaf Hartig on Twitter
Happening in March next year: the @w3c Workshop on Web Standardization for Graph Data.Mark your calendars and express your interest in participating!https://t.co/HbDEO3dxM4 https://t.co/PELY1dVkyT— Olaf Hartig (@olafhartig) October 15, 2018
·twitter.com·
Olaf Hartig on Twitter
Oriol Vinyals on Twitter
Oriol Vinyals on Twitter
Graph Neural Networks / Relational Networks are models worth studying. We wrote a pretty comprehensive review about them which I hope you will find helpful (code forthcoming!). https://t.co/D46XCkUIeb pic.twitter.com/Shw0FOhdIh— Oriol Vinyals (@OriolVinyalsML) June 12, 2018
·twitter.com·
Oriol Vinyals on Twitter
Jason Plurad on Twitter
Jason Plurad on Twitter
JanusGraph 0.3.0 is released! Congrats to the 27 contributors who made the release possible. https://t.co/za3cH9pG6a @JanusGraph @linuxfoundation #TinkerPop #graphdb pic.twitter.com/5SxDMNXRsg— Jason Plurad (@pluradj) August 7, 2018
·twitter.com·
Jason Plurad on Twitter
Saegus conseil on Twitter
Saegus conseil on Twitter
Why companies are turning to Graph? Jonathan Lacefiled from @DataStax gives us 4 main reasons: query performance, flexibility in data access, recency in data updates and visualization of patterns. #saegusmeetup pic.twitter.com/qsCtUEpvdk— Saegus conseil (@saegus_france) May 23, 2018
·twitter.com·
Saegus conseil on Twitter
Muhammad Saleem on Twitter
Muhammad Saleem on Twitter
“Which #RDF graph partitioning technique gives better performance in cluster triplestore? checkout our empirical evaluation of RDF graph partitioning techniques in different architectures. https://t.co/wRlrR8lOSa #EKAW2018 #BigData”
·twitter.com·
Muhammad Saleem on Twitter
Sumit Bhatia on Twitter
Sumit Bhatia on Twitter
Super excited! Our work on explaining knowledge graph relationships has been judged as the best paper at @iswc2018. Thanks to the reviewers who gave extremely valuable suggestions to improve our work. #iswc_conf https://t.co/lNMOdsIQFi#ibm @IBMResearch— Sumit Bhatia (@sbhatia_) October 12, 2018
·twitter.com·
Sumit Bhatia on Twitter
Siddhartha Sahu on Twitter
Siddhartha Sahu on Twitter
Excited to learn that we won the VLDB 2018 Best Paper Award! "The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing" https://t.co/F5rR8ND5NQ @queryproc @semihsalihoglu @lintool @ozsu— Siddhartha Sahu (@sdht0) August 16, 2018
·twitter.com·
Siddhartha Sahu on Twitter
stephen mallette on Twitter
stephen mallette on Twitter
Nested repeat() has merged for Gremlin 3.4.0 - wondering what new traversal patterns will evolve from this capability https://t.co/D7iGa9WRkG the @GCHQ developer who offered the pull request remains anonymously known as GCHQResearcher1337 - thanks to that person #graphdb pic.twitter.com/ULlT5KJfnt— stephen mallette (@spmallette) July 17, 2018
·twitter.com·
stephen mallette on Twitter
stephen mallette on Twitter
stephen mallette on Twitter
BioGraph uses @apachetinkerpop and Gremlin #graphdb https://t.co/vmps1W8VOW pic.twitter.com/BVKryYzx23— stephen mallette (@spmallette) November 21, 2018
·twitter.com·
stephen mallette on Twitter
Sara Robinson on Twitter
Sara Robinson on Twitter
I made a little doodle to help you determine when to use ML, and when to use a SQL query or IF statement instead. It's just a draft, so let me know what you think! pic.twitter.com/bsxwSpyJTY— Sara Robinson (@SRobTweets) October 19, 2018
·twitter.com·
Sara Robinson on Twitter
Stardog on Twitter
Stardog on Twitter
The Stardog Studio 1.0.0 Beta is here! Studio 1.0.0 is the next generation of the Knowledge Graph IDE featuring a re-imagined editing environment for #SPARQL including introspections and auto-completion. Try it yourself here: https://t.co/SbsHRQBOqD pic.twitter.com/i1zqtBz3J3— Stardog (@StardogHQ) August 17, 2018
·twitter.com·
Stardog on Twitter
Stardog on Twitter
Stardog on Twitter
Stardog Studio 1.0.0 Beta is out now! The next generation of the Knowledge Graph IDE with a re-imagined editing environment for #SPARQL. Manage databases and security, author and execute saved queries from a simple to use interface. Try it now: https://t.co/SbsHRQkd23 pic.twitter.com/gmVBYqa3E3— Stardog (@StardogHQ) August 22, 2018
·twitter.com·
Stardog on Twitter
Jonathan E. Magen on Twitter
Jonathan E. Magen on Twitter
So apparently you can have @AzureCosmosDB act as a trigger for a FaaS/@AzureFunctions execution. How cool is that? Thanks go to @testerchoice for teaching folks about it.— Jonathan E. Magen (@yonkeltron) May 23, 2018
·twitter.com·
Jonathan E. Magen on Twitter
A one size fits all database doesn't fit anyone
A one size fits all database doesn't fit anyone
The days of the one-size-fits-all monolithic database are behind us, and developers are using a multitude of purpose-built databases.
·allthingsdistributed.com·
A one size fits all database doesn't fit anyone
Welcome to the ArangoDB family, Ted Dunning!
Welcome to the ArangoDB family, Ted Dunning!
We are absolutely thrilled to announce that one of the brightest and most respected minds in open-source software, Ted Dunning, joins ArangoDBs Advisory Council. Hi, Ted and welcome to the ArangoDB family!
·arangodb.com·
Welcome to the ArangoDB family, Ted Dunning!
Helping you along your Search journeys
Helping you along your Search journeys
We're introducing new features that help you resume tasks where you left off, keep track of ideas and content that you found useful, and get relevant suggestions of things to explore next.
·blog.google·
Helping you along your Search journeys
Is GOLAP the Next Wave for Big Data Warehousing?
Is GOLAP the Next Wave for Big Data Warehousing?
The 1990s and 2000s saw the rise of the relational databases for transaction processing (OLTP) as well as analytical processing (OLAP). As the volume and
·datanami.com·
Is GOLAP the Next Wave for Big Data Warehousing?
Redis Speeds Towards a Multi-Model Future
Redis Speeds Towards a Multi-Model Future
Redis is best known as a key-value store – a very fast, in-memory key-value store. But the folks developing the technology at Redis Labs have big plans to
·datanami.com·
Redis Speeds Towards a Multi-Model Future
The Graph That Knows the World
The Graph That Knows the World
Somewhere in a data center in Fremont, California, exists a large computer cluster that's hoovering up every piece of data it can find from the Web and
·datanami.com·
The Graph That Knows the World