PPT-Introduction to NoSQL Database Systems

Professor Xiannong Meng Bucknell University Spring 2018 Information adopted from Wikipedia httpsenwikipediaorgwikiNoSQL History So far the databases we discussed are all SQL based Structured Query Languages. 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 (. Systems. Overview. (as of November 2011. ). NoSQL. Systems. Not every data management/analysis problem. is best solved . exclusively. using a traditional DBMS. . “. NoSQL. ” = “Not Only SQL” . Chapter 1. The Worlds of Database Systems. Section 1.1 . Evolution of Database Systems . The DBMS is expected to :. 1 . Allow users to create new databases and specify their schemas ( logical structure of the data ) , using a specialized data - definition language.. 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). 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?. SAS Integration With NoSQL Database. The . Agenda . The Data Trend. Introduction to NoSQL Database. RESP API. SAS Integration. Questions and Discussion. Q1 : World’s Largest Transportation Company?. 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 Big Data?. https://www.youtube.com/watch?v=c4BwefH5Ve8. Employee-generated data. User-generated data. Machine-generated data. Big Data Analytics: 11 Case Histories and Success Stories. https://www.youtube.com/watch?annotation_id=annotation_3535169775&feature=iv&src_vid=c4BwefH5Ve8&v=t4wtzIuoY0w. 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. Old Dominion University. Credit for some of the slides in this lecture goes to Larson (Berkeley), . Pattersen. (. UiA. ), Hoekstra (. Perficient. Inc.). CS 620 / DASC 600. Introduction to Data Science & Analytics. 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!.