PPT-A NoSQL
Author : tawny-fly | Published Date : 2016-11-01
Database Hive Dania Abed Rabbou Hive A datawarehousing framework built on top of Hadoop by Facebook Grew from a need to analyze huge volumes of daily data traffic
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A NoSQL: Transcript
Database Hive Dania Abed Rabbou Hive A datawarehousing framework built on top of Hadoop by Facebook Grew from a need to analyze huge volumes of daily data traffic 10 TB generated by Facebook. ntarmos glasgowacuk Ioannis Patlakas MaxPlanckInstitut f ur Informatik Germany patlakasmpiinfmpgde Peter Trianta64257llou School of Computing Science University of Glasgow UK petertrianta64257llou glasgowacuk ABSTRACT Rank ie top join queries play a c0c0n2014. About Me. Independent Security . Researcher. Member @. . OpenSecurity. Currently Pursuing My . Bachelors Degree . Spoken . @ a couple of Conferences. Agenda. More Emphasis Given on the Server-Client and Server Management Consoles. Dave Gardner. @. davegardnerisme. ApacheCon. EU 2012. Agenda. Choosing . NoSQL. Cassandra concepts. (Dynamo and Big Table). Patterns and anti-patterns of use. Choosing . NoSQL. .... Find data store that doesn’t use SQL. Steve Degosserie & Georges Legros. http://www.buildwindows.com/. Register today . and save $500 before August 1st. Save the date: . watch live stream, join local events by MSDN Belux. Win a ticket today at Communiday Day. NoSQL. on Windows Phones and Tablets. Rob Tiffany. WIN-B222. “ The best way to . be. Mobile-First . is to be . API-First”. What are the Ingredients of Enterprise Mobility?. CIOs must . to move data from any backend system out to any mobile . Roni Schuling - Enterprise Architecture. Tom Scroggins – IS Domain Architecture. Principal Financial Group. “Big Data” - Technical Architecture. Foundational Definitions & . w. here these technologies came from. on. NoSQL. Databases. (. MongoDB. ). By:. . Avni. Malhan (MT15012). . Karishma. . Tirthani. (MT15027). . Neeti. . Arora. (MT15039). What is . NoSQL. ?. NoSQL Data models. MongoDB. : Brief Overview. Consistency: Consistent state of data and transactions. . Isolation: Transactions are isolated from each other. . Durability: When the transaction is committed, state will be durable.. Any data store can achieve Atomicity, Isolation and Durability but do you always need consistency?. and Big Data Storage Systems. Introduction. NOSQL. Not only SQL. Most NOSQL systems are distributed databases or distributed storage systems. Focus on semi-structured data storage, high performance, availability, data replication, and scalability. What is the buzz?. Job Trends. . Search Trends. . Twitter search. . Something for your CV. . NoSQL. Not only SQL or No . Sql. - No SQL support. Support for the full SQL language imposes constraints on . Historical positives of RDBMS:. Can represent relationships in data. Easy to understand relational model/SQL. Disk oriented storage . I. ndexing structures. Multi threading to hide latency. Locking-based for consistency. Professor Xiannong . Meng. Bucknell. University. Spring 2018. Information adopted from Wikipedia. https://en.wikipedia.org/wiki/NoSQL. History. So far the databases we discussed are all SQL based (Structured Query Languages).. relational . databases. Modern . (distributed) data storage and processing. Sina. . Samangooei. . {. ss@ecs. , @. sinjax. , … }. Introduction. “…. so, you have some data. …”. RDBMS: power + problems. Old Dominion University. . CS 495/595. Introduction to Data Mining. 1. Credit for some of the slides in this lecture goes to Larson (Berkeley), . Pattersen. (. UiA. ), Hoekstra (Perficient Inc.). NoSQL!.
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