PPT-Big Data and NoSQL BUS 782

What is Big Data httpswwwyoutubecomwatchvc4BwefH5Ve8 Employeegenerated data Usergenerated data Machinegenerated data Big Data Analytics 11 Case Histories and Success Stories httpswwwyoutubecomwatchannotationidannotation3535169775ampfeatureivampsrcvidc4BwefH5Ve8ampvt4wtzIuoY0w. 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” . 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). 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. . 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 . 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. 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!.