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Suggested articles You can manage the types and frequency of emails from LinkedIn and even choose to stop specific emails by unsubscribing. Learn more To manage emails: Click the Me icon at the top of your LinkedIn homepage. Click Settings & Privacy. Click… If you signed up directly through LinkedIn (desktop or mobile web), you can only cancel your LinkedIn Premium subscription from the LinkedIn d
Riak and Cassandra and HBase, oh my! « Blog of Data
We are marching along in our integration of HBase with the Socorro Crash Stats project, but I wanted to take a minute away from that to talk about a separate project the Metrics team has also been involved with. Mozilla Labs Test Pilot is a project to experiment and analyze data from real world Firefox users to discover quantifiable ways to improve our user experience. I was very interested and e
How does HBase write performance differ from write performance in Cassandra with consistency level ALL?
Answer (1 of 3): While setting the a write consistency level of ALL with a read level of ONE in Cassandra provides a strong consistency model similar to what HBase provides (and in fact using quorum writes and reads would as well), the two operations are actually semantically different and lead t...
Facebook Messaging - HBase Comes of Age
Update: I want to thank Ben Black, Todd Lipcon, and Kelley Reynolds for pointing out the inaccuracies in the original post. I’ve gone through the references they provided and made corrections. Facebook, the data giant of the internet, recently unveiled a new messaging system. To be fair, I would normally ignore feature roll outs and marketing flimflam, but Facebook’s announcement is worthy of atte
Cassandra vs HBase | WhyNosql
Casandra vs HbaseWe are an ad network. We need to store impressions and clicks. We were evaluating various big data (or nosql -what ever you may choose to call it) systems for our new project. We had used HBase for past 8 months in an experimental product and are satisfied with it but the hype about Cassandra was so much that we decided to give it a shot. I think for some reason Cassandra team has
A New DB for 80% of Facebook, YouTube-scale Sites | Road to Failure
Imagine you’re visiting several of your favorite massive-scale websites. Or go ahead and pull them up in your browser. Facebook, MySpace, LiveJournal, Bebo, Streamy, YouTube, anything that deals with huge amounts of data, or any sufficiently large Social Media site. While you’re at it, take a look at any data-driven website: a forum, your favorite blog, or a news site. As you examine these sites,
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Google Cloud Bigtable vs. HBase vs. MongoDB Comparison
An Introduction to Accumulo)
HBaseとCassandraの比較(図) - LunaBiblos
Good night, Posterous