CRICOS code 00025BCRICOS code 00025B This course includes 13 lectures and 10 tutorial/practical sessions Copyright By PowCoder代写 加微信 powcoder Programming and Linux experiences required! Recap – Course Structure Introduction topics&appl VT: Docker I VT: Docker II Spark I DBs in Cloud Networks & Load Balancing Security & Lecture 11 Lecture 12 Lecture 10 VT: Docker […]
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CRICOS code 00025BCRICOS code 00025B Copyright By PowCoder代写 加微信 powcoder Cloud Computing CRICOS code 00025BCRICOS code 00025B • Apache Spark and its Characteristics • Resilient Distributed Dataset (RDD) • RDD Operations – Transform & Action • Lazy evaluation and RDD Lineage graph • Terms in Spark • Narrow and Wide Dependencies • How Spark works
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CRICOS code 00025BCRICOS code 00025B • “Big Data” has been in use since 1990s. Copyright By PowCoder代写 加微信 powcoder • Data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. • Reasons of Big Data: – Hardware development: Storage (more cheaper),
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1. (a) A HDFS client reading data from a file on HDFS: a. Receives all file data through the NameNode b. Receives the location of file blocks from the NameNode c. Receives both the data and block locations from the NameNode d. Receives both the data and block locations from a DataNode Copyright By PowCoder代写
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The Hadoop Distributed File System Konstantin Shvachko, , , Y ahoo! Sunnyvale, California USA {Shv, Hairong, SRadia, Copyright By PowCoder代写 加微信 powcoder Abstract—The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, thousands of
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EECS 4313 Assignment 1 – Bugs and Bug Reports 1. Assignment goals The purpose of this assignment is to give you experience reporting bugs and developing test cases. This assignment will give you practice thinking how to develop a test case from a requirements document, what a professional bug report should be, as well as
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ : NoSQL and HBase Part 1: Introduction to NoSQL What does RDBMS provide? ❖ Relational model with schemas ❖ Powerful, flexible query language (SQL) ❖ Transactional semantics: ACID ❖ Rich ecosystem, lots of tool support (MySQL, PostgreSQL, etc.) What is NoSQL? ❖ The name stands for Not
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 4.1: Part 1: ntroduction Limitations of MapReduce ❖ MapReduce greatly simplified big data analysis on large, unreliable clusters. It is great at one-pass computation. ❖ But as soon as it got popular, users wanted more: ➢ More complex, multi-pass analytics (e.g. ML, graph) ➢ More interactive
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COMP9313: Big Data Management Course web site: http://www.cse.unsw.edu.au/~cs9313/ Chapter 1: Course Information and Introduction to Big Data Management Part 1: Course Information Course Info ❖ Lectures: 10:00 – 12:00 (Tuesday) and 14:00 – 16:00 (Thursday) ➢ Purely online (access through Moodle) ❖ Labs: Weeks 2-10 ❖ Consultation (Weeks 1-10): Questions regarding lectures, course materials, assignements,
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This exercise aims to get you to: • Install and configure HBase, and Manage data using HBase Shell • Install and configure Hive, and Manage data using Hive HBase Installation and Configuration 1. Download HBase 2.4.8 $ wget https://dlcdn.apache.org/hbase/2.4.8/hbase-2.4.8-bin.tar.gz Then unpack the package: $ tar xvf hbase-2.4.8-bin.tar.gz 2. Define environment variables for HBase We need
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