PPT-Lecture 6- NoSQL 1 Dr. Sampath Jayarathna

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 amp Analytics. P Sampath Kumar 1 Akhilesh Yadav Shweta Srivastava Shravan Paswan Amit Sankar Dutta 4 1 Department of pharmaceutical sciences Karpagam University Coimbatore Tamil Nadu India Email debjitcryahoocom 2 Coimbatore Medical College Coimbatore Coimbator 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. . on. NoSQL. Databases. (. MongoDB. ). By:. . Avni. Malhan (MT15012). . Karishma. . Tirthani. (MT15027). . Neeti. . Arora. (MT15039). What is . NoSQL. ?. NoSQL Data models. MongoDB. : Brief Overview. 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. Cal Poly Pomona. 1. Why. study user interfaces?. Good UIs are critical to success. UI programming is. easy . (sophisticated algorithms not required). straightforward (can immediately correct mistakes). Old Dominion University. . CS . 795/895. Introduction to . Data Science. Credit for some of the slides in this lecture goes . to . Jianhua. . Ruan. UTSA. Why pandas?. One of the most popular library that data scientists use. Cal Poly Pomona. Based on slides created by Bjarne . Stroustrup. & Tony Gaddis. CS 128. Introduction to C++. 1. Introduction to Loops: . The . while. Loop. Loop. : a control structure that causes a statement or statements to repeat. Cal Poly Pomona. Credit for some of the slides in this lecture goes . to . www.id-book.com. . What is human-computer interaction (HCI)?. HCI is the study and the practice of usability.. It is about understanding and creating software and other technology that people will want to use, will be able to use, and will find effective when used.. 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).. 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!.