PowerPoint Presentation Big Data Computing Spark Basics and RDD 1 A Brief History 2 Why is Map/Reduce bad? Programming model too restricted Iterative jobs involve a lot of disk I/O 3 Many specialized systems on top of Hadoop 4 What is Spark? Efficient General execution graphs In-memory storage Usable Rich APIs in Java, Scala, Python […]
PowerPoint Presentation SQL I R & G Chapter 5 1 SQL Roots Developed @IBM Research in the 1970s System R project Vs. Berkeley’s Quel language (Ingres project) Commercialized/Popularized in the 1980s “Intergalactic Dataspeak” IBM beaten to market by a startup called Oracle Slide Deck Title SQL’s Persistence Over 40 years old! Questioned repeatedly 90’s: Object-Oriented
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PowerPoint Presentation Big Data Computing Overview MapReduce and Hadoop 1 Self Introduction Research interests Algorithms on big data; databases; data streams; sampling; data structures, database indexing; parallel and distributed algorithms; external memory algorithms; data mining; computational geometry. 2 First slide of my PhD defense in 2006 What is Big Data? 6 Big Data Definition No
In [1]: rdd = sc.parallelize([1, 2, 3, 3]) In [4]: rdd.map(lambda x: [x, x+1]).collect() Out[4]: [[1, 2], [2, 3], [3, 4], [3, 4]] In [5]: rdd.flatMap(lambda x: [x, x+1]).collect() Out[5]: [1, 2, 2, 3, 3, 4, 3, 4] In [6]: rdd1 = sc.parallelize([1, 2, 0.5, 0.1, 5, 0.2], 4) In [2]: rdd1.collect() Out[2]: [1, 2, 0.5, 0.1, 5, 0.2] In [3]:
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Big Data – Hadoop/MapReduce Sambit Sahu 2 Logistics § Quiz 1 next week. Sample released. § Assignment 2 (tentative) draft uploaded. § In-depth exploration topics – Kubernets and DevOps: you will explore containers, kubernetes and its application to cloud application devOps pipeline. – Kafka and Events/Logs: you will explore how kafka and kafka stream used
Introduction to Big Data with Apache Spark UC BERKELEY This Lecture Programming Spark Resilient Distributed Datasets (RDDs) Creating an RDD Spark Transformations and Actions Spark Programming Model • • • Python Spark (pySpark) We are using the Python programming interface to Spark (pySpark) pySpark provides an easy-to-use programming abstraction and parallel runtime: » “Here’s an
Introduction to Big Data! with Apache Spark” UC#BERKELEY# This Lecture” The Big Data Problem” Hardware for Big Data” Distributing Work” Handling Failures and Slow Machines” Map Reduce and Complex Jobs” Apache Spark” Some Traditional Analysis Tools” • Unix shell commands, Pandas, R” All run on a ! single machine”! • • • • The Big
Cloud and Big Data Sambit Sahu IBM Research 2 Course Objective § Graduate level course on Cloud Computing – Focus is on learning and building extremely large scale systems and applications leveraging Cloud – Building blocks and design patterns in designing backend of typical Internet Scale application – Learn concepts as well as hands-on experience
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Practicals for Data Analysis & Programming for Operations Management N.D. Van Foreest, W. van Wezel 1. INTRODUCTION This document contains the material for the practicals related to optimization of Operations Management problems with Python, Gurobi, and Elasticsearch. We rely on you to search on the web for examples, documentation, and so on. For instance, a
EECS 485 Final Exam Fall 2021 SOLUTION This is a 120 minute, open-note exam. Allowed resources ● You may use any notes or other resources, including online resources. ● You may use a compiler, IDE, or other programming tools. Copyright By PowCoder代写 加微信 powcoder Collaboration or assistance is prohibited ● You are NOT allowed to
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