🦞🌯 Lobster Roll

Thread

Tango: Distributed Data Structures over a Shared Log (muratbuffalo.blogspot.com)

Stories related to "Tango: Distributed Data Structures over a Shared Log" across the full archive.

Tango: Distributed Data Structures over a Shared Log (muratbuffalo.blogspot.com)
Eventually Consistent Data Structures (vimeo.com)
Data Structures in Riak (vimeo.com)
Storage Disaggregated Databases and Shared Transaction Log Architecture In Comparison (medium.com)
Apache Spark: The Next Big Data Thing? (blog.mikiobraun.de)
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (cs.berkeley.edu)
BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data (blinkdb.org)
Creating a Geospatial database on Amazon RDS (pheelicks.com)
Bad As I Wanna Be: Coordination and Consistency in Distributed Databases (youtube.com)
Replicated Data Consistency Explained Through Baseball (research.microsoft.com)
PerlDSM: A Distributed Shared Memory System for Perl (heather.cs.ucdavis.edu)
A Scalable, Geo-Replicated, Transactional Datastore (github.com)
Big Data Machine Learning with H2O (lauradhamilton.com)
Distributed deterministic dataflow programming for Erlang [slides] (speakerdeck.com)
Probabilistic Data Structures for Data Analytics (bigsnarf.wordpress.com)
Onyx: Distributed, fault tolerant data processing for Clojure (github.com)
Introducing Dynomite - Making Non-Distributed Databases, Distributed (techblog.netflix.com)
Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems (usenix.org)
Database Soup: What's this pg_shard thing? (databasesoup.com)
Databases at 14.4Mhz (blog.foundationdb.com)
Strong Eventual Consistency and Conflict-free Replicated Data Types (youtube.com)
The Eventual Consistency (EC) approach, which does not restrict concurrent updates to replicas of an object, is essential to scalability of cloud computing. However, reconciling conflicts remains difficult, and published EC approaches are ad-hoc and error-prone; the literature offers little guidance...
Matrix | Eventually consistent, distributed, persistent data fabric (matrix.org)
Simple Testing Can Prevent Most Critical Production Failures in Distributed Data-Intensive Systems (muratbuffalo.blogspot.com)
hyflow-go: a geo-replicated, main-memory, highly consistent datastore (hyflow.org)
Please stop calling databases CP or AP (martin.kleppmann.com)
Upside Down Databases: Bridging the Operational and Analytic Worlds with Streams (benstopford.com)
Decentralised and distributed data/design conferences in Europe
GetD is on its third event in about 12 months. Berlin, 10 & 11 Oct http://get-d.net/home/events/getd-summit-hackathon-berlin-iii/ Just announced is the 'redecentralize.org' event in London, 17 & 18 Oct http://redecentralize.org/conference/
Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters (research.microsoft.com)
Imply launches with $2M to commercialize the Druid open-source data store (venturebeat.com)
Getting data out of databases: a surprisingly tricky problem — Martin Kleppmann’s talks (martin.kleppmann.com)
Kleppmann's talk: slides, video, and references from the "All Your Base" conference.