Run production-grade databases easily on Kubernetes
KubeDB simplifies Provisioning, Upgrading, Scaling, Volume Expansion, Monitor, Backup, Restore for various Databases in Kubernetes on any Public & Private Cloud Lower administrative burdenNative Kubernetes SupportPerformanceAvailability and durabilityManageabilityCost-effectivenessSecurity A complete Kubernetes native disaster recovery solution for backup and restore your volumes and databases in
GitHub - mara/mara-pipelines: A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. It has a number of baked-in assumptions/ principles: Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code. PostgreSQL as a data processing engine. Extensive web ui. The web browser as the main tool for inspecting, running an
Open-sourcing a 10x reduction in Apache Cassandra tail latency
At Instagram, we have one of the world’s largest deployments of the Apache Cassandra database. We began using Cassandra in 2012 to replace Redis and support product use cases like fraud detection, Feed, and the Direct inbox. At first we ran Cassandra clusters in an AWS environment, but migrated them over to Facebook’s infrastructure when the rest of Instagram moved. We’ve had a really good experie
データベースリファクタリングについて話をしてきた #OSO2017 - そーだいなるらくがき帳
岡山にはオープンセミナー岡山と言う最高のイベントがあります。 okayama.open-seminar.org 昨日は id:t-wada さんや id:naoya さんの資料がホットエントリー入りしてました。 この登壇はそれと同じイベントになります。 その他の方も超豪華講師陣の中で、私が出来る精一杯の経験も踏まえたお話をさせていただきました。 speakerdeck.com この中で出て来る、データベースリファクタリングは本当に素晴らしい本です。 OracleベースなのですがMySQLだろうがPostgreSQLだろうが必ずためになる本です。 ですが、この本は既に廃刊になっており再販の予定もありません… 僕は後世に絶対必要な本の一つだと思っているので再販のためにも皆さんの要望の声を上げていただけるとうれしいです。 そしたらもしかしたら本が世に復活するかもしれません。 またSQLアンチパタ
GitHub - heavyai/heavydb: HeavyDB (formerly OmniSciDB)
HeavyDB is an open source SQL-based, relational, columnar database engine that leverages the full performance and parallelism of modern hardware (both CPUs and GPUs) to enable querying of multi-billion row datasets in milliseconds, without the need for indexing, pre-aggregation, or downsampling. HeavyDB can be run on hybrid CPU/GPU systems (Nvidia GPUs are currently supported), as well as on CPU-o
Announcing TrailDB - An Efficient Library for Storing and Processing Event Data - NextRoll
tl;dr Today, we are open-sourcing TrailDB, a core library powering AdRoll. TrailDB makes it fast and fun to handle event data. Find it at traildb.io. Problem: Event Data Imagine that you have a large amount of event data that looks like this: 2016-05-02T22:48:38 user023 view features 2016-05-02T22:49:01 user301 click graph 2016-05-02T23:03:02 user023 view pricing 2016-05-02T23:15:45 user187 submit
ActorDB | Distributed SQL database with linear scalability
Features ActorDB is strongly consistent, distributed and horizontally scalable. Based on an industry-proven reliable database engine. Scalable ActorDB can run on a single server or hundreds. It can store gigabytes or petabytes. Features Full relational database within an actor. Queries and transactions over multiple actors. Redundant. Massively concurrent. No single point of failure. ACID. Connect
10 Great Datasets On Movies
Data on movies is very useful from a statistical learning perspective. Instructors of statistics & machine learning programs use movie data instead of dryer & more esoteric data sets to explain key concepts. Since movies are universally understood, teaching statistics becomes easier since the domain is not that hard to understand. Here are 10 great datasets on movies. Please feel free to add any I
Introducing the official RethinkDB Java client driver - RethinkDB
Today, we’re pleased to announce the release of our Java client driver for RethinkDB. Visit the installation instructions for details about how to use it in your Java project. With this release, we now officially support Java for RethinkDB application development, alongside Python, Ruby, and JavaScript. The Java client driver is fully-featured. It’s built on RethinkDB’s modern JSON wire protocol a
A Tour Through the "Big Data" Zoo
I recently read a great article by Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky that showcases the various techniques for visualizing and interacting with diverse data sets. I thought it may be useful to write something similar to showcase the various open source systems that exist in the “big data” space, including Druid, which is an open source data store I work on. Advances in computing
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GitHub - uber/h3: Hexagonal hierarchical geospatial indexing system
GitHub - HVF/franchise: 🍟 a notebook sql client. what you get when have a lot of sequels.
bet365 Acquires NoSQL Database Developer Basho Technologies’ Remaining Assets
GitHub - facebookarchive/beringei: Beringei is a high performance, in-memory storage engine for time series data.
GitHub - RedBeardLab/rediSQL: Redis module that provides a completely functional SQL database
GridDB and Cassandra YCSB Benchmarks | GridDB: Open Source Time Series Database for IoT
GitHub - logv/sybil: columnar storage + NoSQL OLAP engine | https://logv.org
GitHub - griddb/griddb: GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
TechCrunch | Startup and Technology News
GitHub - linkedin/PalDB: An embeddable write-once key-value store written in Java
