PPT-NoSQL

Systems Overview as of November 2011 NoSQL Systems Not every data managementanalysis problem is best solved exclusively using a traditional DBMS NoSQL Not Only SQL . 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 . and Big Data Processing . Hbase. , Hive and Pig, etc. . Adopted from slides by . By. Perry Hoekstra, . Jiaheng. Lu, . Avinash. . Lakshman. , . Prashant. . Malik, and Jimmy Lin. History of the World, Part 1. NoSQL. World. David Cassel, MarkLogic Sr. Consultant. 7 Nov 2011. Why . NoSQL. ?. RDBMSes. are. familiar. ubiquitous. backed by a body of research. Why . NoSQL. ?. What is . NoSQL. ?. ". NoSQL. refers to a class of databases 1) are intended to perform at internet (. Kaizen Approach, Inc.. Big Data Defined. Big data is where the data volume, acquisition velocity, or data representation limits the ability to perform effective analysis using traditional relational approaches or requires the use of significant horizontal scaling for efficient processing. (NIST 2012). 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 . nosql. implementation. [PRO3996]. Overview. BizDoc. Conceptual Architecture. Transactions. Guiding . Principles . Architecture . Data Models. Why Move to the Cloud. NoSQL vs RDMS. SQL vs NoSQL. 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. . By Prof. . B.A.Khivsara. . Note: The material to prepare this presentation has been taken from internet and are generated only for students reference and not for commercial use.. Jarosław. . Pałka. What's new in . Java EE 6. Sang Shin. Programming . Clojure. Venkat. . Subramaniam. Play! framework: a revolution in the Java world. Nicolas . Leroux. Poniższa prezentacja udostępniana jest w ramach licencji DHMB (Don't Hurt My Brain).. 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).. 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!.