TechCrunch | Startup and Technology NewsAdam Selipsky is stepping down from his role as CEO of AWS, Amazon has confirmed to TechCrunch. In a memo shared internally by Amazon CEO Andy Jassy and published this…
Spark And Cassandra: 2 Fast, 2 Furious
The document discusses the Datastax Spark Cassandra Connector. It provides an overview of how the connector allows Spark to interact with Cassandra data, including performing full table scans, pushing down filters and projections to Cassandra, distributed joins using Cassandra's partitioning, and writing data back to Cassandra in a distributed way. It also highlights some recent features of the co
Yahoo! JAPANにおけるApache Cassandraへの取り組み
Cassandra Meetup in Tokyo, Fall 2014 http://datastaxjp.connpass.com/event/9867/ Yahoo! JAPANにおけるApache Cassandraへの取り組みRead less
Netflix: 結果整合性の許容範囲は広がってしかるべき - ワザノバ | wazanova
https://www.youtube.com/watch?v=6R1WhWkh6pg 2 comments | 0 points | by WazanovaNews ■ comment by Jshiike | 約1時間前 Cassandra Day Silicon Valley 2014でのChristos Kalantzis (Cloud DB Engineering Manager, Netflix) の講演。 10年前を思い出してほしい、データの書込みは1台のマスターに、読込みは複数のスレーブで担いスケールさせていた。ウェブサービスでよく使われていた手法だが、レプリが完全に行われないケースはありえた。 Cassandraの場合は、大量のデータ処理でも結果整合性の遅延は極短く、信頼性高く、かつデータ修復機能もある。チューニングできるシステム。 Netflixでの実験: - 二箇
Using Merkle trees to detect inconsistencies in data
Cassandra's AntiEntropy service uses Merkle trees to detect the inconsistencies in data between replicas. Merkle tree is a hash tree where leaves contain hashes of individual data blocks and parent nodes contain hashes of their respective children. It provides an efficient way to find differences in data blocks stored on replicas and reduces the amount of data transferred to compare the data block
なぜApache HBaseを選ぶのか？ #cwt2013
#cwt2013 ClouderaのJonathan Hsieh @jmhsieh によるHBaseの最新情報のスライドを公開しました。CDH5のHBase 0.96では耐障害性が強化され、障害発生時も書き込みは数秒、読み込みは10秒以内に復旧します。Read less
MurmurHash - Wikipedia
MurmurHash is a non-cryptographic hash function suitable for general hash-based lookup.[1][2][3] It was created by Austin Appleby in 2008[4] and is currently hosted on GitHub along with its test suite named 'SMHasher'. It also exists in a number of variants,[5] all of which have been released into the public domain. The name comes from two basic operations, multiply (MU) and rotate (R), used in it
looking with cassandra into the future of atlas – MetaBroadcast
we write about the things we build and the things we consume It’s no surprise we use MongoDB almost everywhere. And it’s no surprise either that we’re planning for world domination, ingesting more and more data from different media sources into our Atlas platform: which is leading us to hit MongoDB scalability limits, discover obscure bugs, and question some of its design choices. That’s why for t
Hibari presentation at NOSQL AFTERNOON in JAPAN on Nov 1,2010
Hibari presentation at NOSQL AFTERNOON in JAPAN on Nov 1,2010 Hibari is an open source distributed key-value store built using Erlang. It addresses the needs of customers requiring durability, strong consistency, high availability, and high performance for read-heavy big data workloads. Hibari uses chain replication to maintain consistency across replicas and provide high availability as long as o
読み出し性能と書き込み性能を両立させるクラウドストレージ (OS-117-24)
Apache con 2012 taking the guesswork out of your hadoop infrastructure
ArchitectureSSTable - Cassandra Wiki
SSTable Overview DRAFT. Notes on documenting how SSTables work in Cassandra (data format, indexing, serialization, searching) SSTables have 3 separate files created, and are per column-family. Bloom Filter Index Data When adding a new key to an SSTable here are the steps it goes through. All keys are sorted before writing. Serialize Index (ColumnIndexer.serialize(!IIterableColumns columns, DataOut
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Cassandra Business with Jonathan Ellis - Software Engineering Daily
Live Aggregators: Highly Reliable and Massively Scalable Real Time Aggregation System - Mist
Home · GeoMesa
GitHub - acruise/cassandra-bloom-filter: The bloom filter library from Cassandra, isolated out into its own small, self-contained chunk
Cassandra: the importance of system clocks, avoiding OOM and how to escape (unnecessary) OOM meltdown!
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What’s new in Cassandra 1.0: Performance | Datastax
GoDaddy JP から購入した Microsoft Office 365 でより生産性を高めてください
Why are the writes of Cassandra executed faster than MySQL's?