Adam 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…
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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
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
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
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
1. DO NOT USE PUBLICLY PRIOR TO 10/23/12 なぜApache HBaseを選ぶのか? Headline Goes Here Jonathan Hsieh | @jmhsieh Speaker Name or Subhead Goes Here SoHware Engineer at Cloudera | HBase PMC Member November 7th, 2013, Cloudera World Japan 2013 2. 自己紹介 • Cloudera: • ソフトウェアエンジニア • Tech Lead HBase Team • Apache HBase commiRer / PMC • Apache Flume founder / PMC • ワシントン大学: • 分散システムの研究 2 11/7/13 Cloudera
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, as of 8 January 2016,[5] is hosted on GitHub along with its test suite named SMHasher. It also exists in a number of variants,[6] all of which have been released into the public domain. The name comes from two basic operations, multiply (MU) and rotate (
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 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
As we've worked towards 1.0 over the past year, Cassandra's performance has improved spectacularly. Compared to the current release this time in 2010, we've increased our write performance a respectable 40%. But the real area we wanted to focus on improving was read performance, which we succeeded in increasing a phenomenal 400%! Reads There are actually two different execution paths for reads in
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
1. The document compares different NoSQL databases and discusses key aspects of Cassandra and Bigtable. 2. It proposes MyCassandra as an alternative that aims to optimize for both read and write performance. 3. Experimental results show MyCassandra outperforms Cassandra in read-heavy workloads and achieves higher throughput and lower latency than Cassandra and MySQL/Redis in most scenarios.Read le
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