PPT-NoSQL

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 (. 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” . Jeremy Shafer. Temple University. What is NoSQL?. Before we can answer that question. ….. We need to know something about A.C.I.D. . t. ransactions. The ideas behind A.C.I.D. . t. ransacitons were fomalized in the 1970s, and the acronym A.C.I.D. . 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 . 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. 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. 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. Presented by JJ. Oninit Consulting Ltd / IBM. @ IBM Southbank. Wednesday 25. th. June . 2014. Jon J Ritson – aka “JJ”. Find me on LinkedIn. Working with Informix since the early 90’s (5.03). 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!.