COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Part 1: X ❖ GraphX is Apache Spark’s API for graphs and graph-parallel computation. ❖ At a high level, GraphX extends the DD by introducing a new Graph abstraction: a directed multigraph with properties attached to each vertex and edge ❖ To support graph computation, GraphX exposes […]
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 5.2: V Part 1: APIs A Brief Review of RDD ❖ The RDD is the most basic abstraction in Spark. There are three vital characteristics associated with an RDD: ➢ Dependencies (lineage) When necessary to reproduce results, Spark can recreate an RDD from the dependencies
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Objectives The objective of Coursework Three is to provide analytics solutions based on MongoDB database and SQLite database. Python and R are equally acceptable for this submission. In order to add more colour to the reporting analytics, the students can also leverage on JavaScript, HTML and css. One Use Case should be selected among the
– [The Rust Reference](https://doc.rust-lang.org/reference/macros-by-example.html) – [TRPL](https://doc.rust-lang.org/book/ch19-06-macros.html) – [RBE](https://doc.rust-lang.org/rust-by-example/macros.html) Copyright By PowCoder代写 加微信 powcoder – [The Little Book of ](https://veykril.github.io/tlborm/proc-macros/methodical.html) This week we will talk about macro. Fundamentally, macros are a way of *writing code that writes other code*, which is known as metaprogramming. Some frequently used macros are `vec!` and `println!`. All of these macros
Static Program Analysis Part 1 – the TIP language http://cs.au.dk/~amoeller/spa/ øller & . Schwartzbach Computer Science, Aarhus University Copyright By PowCoder代写 加微信 powcoder Questions about programs • Does the program terminate on all inputs? • How large can the heap become during execution? • Can sensitive information leak to non-trusted users? • Can non-trusted users
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FIT3173: Web Application Security I Dr Xiao of Software Systems and Cybersecurity Faculty of Information Technology Learning Outcomes of This Lecture Copyright By PowCoder代写 加微信 powcoder • Review the basics of Web • Understand the significance of web security and threats in Web • Evaluate the security of web cookies and understand session hijacking •
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INFO20003 Database Systems Dr Renata Borovica-Gajic Lecture 01 What are Database Systems? Copyright By PowCoder代写 加微信 powcoder INFO20003 Database Systems Data vs Information – known facts stored and recorded – can include: text, numbers, dates, plus images, sound, video, and other complex objects • Information – Datapresentedincontext(canbesummariseddata) – Datathathasbeenprocessedincreasingtheusersknowledge • Data vs Information – Data
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DS/CMPSC 410 Programming Models for Big Data Fall 2021 Final Exam Study Guide December 6, 2021 The weight of each topic is an estimate. The actual weight of exam questions can vary slightly. A question in the exam can also related to more than one topic areas. 1. Big Data Opportunities, MapReduce, Hadoop, Spark (5-10%)
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The University of Melbourne School of Computing and Information Systems INFO90002 Database Systems and Information Modelling End of Semester 2, 2021 Reading Time: 15 minutes Writing Time: 120 minutes (2 Hours) Upload Time: 30 minutes Authorised Materials: While you are undertaking this assessment you are permitted to • make use of any textbook, lecture slides
SE 352/452 Object Oriented Enterprise Computing ▪ Administrative ▪ Teamshouldbefinalized ▪ Update on syllabus ▪ Presentation – Team 6 – JC ▪ Keys from last meeting ▪ RDBMS(akaSQL) ▪ DemoofswitchingRDBMS ▪ Presentation(2,4,7,8) ▪ NoSQL Concepts ▪ Presentation(1,3,5,9) ▪ NoSQL Implementation ▪ Before next class ▪ Template code generator – Lombok ▪SQL ▪ Java to SQL
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