PPT-Lecture 6- NoSQL 1 Dr. Sampath Jayarathna

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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

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Lecture 6- NoSQL 1 Dr. Sampath Jayarathna: Transcript


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. 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. . 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. 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. Overview of Database Design Process. Two main activities:. Database design. Applications design. Focus in this chapter on . conceptual database design. To design the conceptual schema for a database application. 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. Old Dominion University. . Credit for some of the slides in this lecture goes . to . Jianhua. . Ruan. UTSA. CS 620 / DASC 600. Introduction to Data Science & Analytics. Why pandas?. One of the most popular library that data scientists use. 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.. Cal Poly Pomona. Today. Who I am. CS 599 educational objectives (and why). Overview of the course, and logistics. Quick overview of IR and why we study it. 2. Who am I?. Instructor : . Sampath . Jayarathna. 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!.

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