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Database Applications (15-415) NoSQL Databases Lecture 26, April 19, 2016

Database Applications (15-415) NoSQL Databases Lecture 26, April 19, 2016

Database Applications (15-415) NoSQL Databases Lecture 26, April 19, 2016. Mohammad Hammoud. Today…. Last Session: Recovery Management Today’s Session: NoSQL databases Announcements: PS5 (the “last” assignment) is due on Thursday, April 21st

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427 views • 41 slides
(Distributed) (Structured) Storage Systems

(Distributed) (Structured) Storage Systems

Mark Feltner. (Distributed) (Structured) Storage Systems. Big Data. 2.5 Petabytes/day: Wal-Mart's transaction database 40 Terabytes/second: CERN 1 Terabyte/day: NYSE Trading data 10 billion: Facebook photos. Overview. Theory Algorithms Implementations & Technology.

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495 views • 39 slides
Document Databases & RavenDB

Document Databases & RavenDB

Document Databases & RavenDB. Brian Ritchie Chief Architect Payformance Corporation. Email: brian.ritchie@gmail.com Blog: http://weblog.asp.net/britchie Web: http://www.dotnetpowered.com. What is a database?. When most people say database, they mean relational database.   

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382 views • 35 slides
Large-scale Incremental Processing Using Distributed Transactions and Notifications

Large-scale Incremental Processing Using Distributed Transactions and Notifications

Large-scale Incremental Processing Using Distributed Transactions and Notifications. Written By Daniel Peng and Frank Dabek Presented By Michael Over. Abstract. Task: Updating an index of the web as documents are crawled

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532 views • 33 slides
CAP Theorem

CAP Theorem

CAP Theorem. Justin DeBrabant. Properties of Distributed Systems. Consistency all nodes have up-to-date view of data Availability every request receives a response Partition Tolerance system will continue to function if partitions are isolated from each other

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1.12k views • 12 slides
FaceBase Data Management

FaceBase Data Management

FaceBase Data Management. Data Management Goals. Schema-less data format Fast search Fast update Scalability Transactions* Atomicity Consistency Isolation Durability. Having it all…. No one system has everything Brewer’s theorem (CAP) Consistency Availability Partition Tolerance

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187 views • 9 slides

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