PPT-Lecture 7 NoSQL

Old Dominion University CS 495595 Introduction to Data Mining 1 Credit for some of the slides in this lecture goes to Larson Berkeley Pattersen UiA Hoekstra Perficient Inc NoSQL. 30pm 730pm 730pm 730pm Hold Your Applause Inventing and Reinventing the C lassical Concert Hold Your Applause Inventing and Reinventing the C lassical Concert Hold Your Applause Inventing and Reinventing the C lassical Concert Hold Your Applause I NoSQL. for Penetration . Testers. Russell Butturini. tcstool@gmail.com. @tcstoolhax0r. DISCLAIMER. . This presentation contains jokes from the movie Blazing Saddles. The presenter takes no responsibility if you haven’t seen one of the greatest films ever made and find none of his jokes funny.. 1. Introduction to . NoSQL. databases and CS554 projects based on ZHT. Outlines. General terms. Overview to . NoSQL. . dabases. and key-value stores. Introduction to ZHT. CS554 projects . 2. Databases/. 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” . 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. Roni Schuling - Enterprise Architecture. Tom Scroggins – IS Domain Architecture. Principal Financial Group. “Big Data” - Technical Architecture. Foundational Definitions & . w. here these technologies came from. 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. . 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?. 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?. . 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.. 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.