Declarative Languages • Map-Reduce framework hides scheduling and parallelization details • Limited query expressiveness – Complex queries difficult to write Copyright By PowCoder代写 加微信 powcoder • Declarative languages on top of map-reduce – Pig Latin (Yahoo!) • Like relational algebra • Open source – HiveQL (Facebook) • SQL like language • Open source – SQL […]
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Microsoft Word – bdm3305-2021-1-coursesyllabus.docx DEPARTMENT OF DIGITAL BUSINESS MANAGEMENT Course Syllabus 1/2021 MSM&E VISION To be distinguished business school with entrepreneurial spirit and international learning environment MSM&E MISSION Educating graduates with entrepreneurial spirit, global competency, and social responsibility. By nurturing business knowledge and skills to develop creative business solutions; By developing business communication
Copy_of_2020F_CIS545_Homework_4 CIS 545 Homework 4 : Machine Learning¶ Due November 16th, 10pm EST¶ Worth 100 points in total¶ Hopefully everyone is doing well after this midterm – we’re halfway there! We hope to continue to equip your data science toolkit with new skills through out the remainder of the semester. This homework will give you
CIS_545_HW_2_STUDENT_F2020 CIS 545 Homework 2¶ Due 12 October, 2020 by 10pm Eastern Time¶ Worth 100 points in total¶ Welcome to Homework 2! By now, you should be familiar with the world of data science and the Pandas library. This assignment will focus on broadening both of these horizons by covering hierarchical data, graphs, and traversing
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HW0 Homework 0: Getting Started (10 points)¶ Due September 14, 2020 by 10pm¶ For this initial assignment, our primary goal is to familiarize you with the Jupyter/Python and Apache Spark “software stack” we will use through the semester. This class assumes you are comfortable programming in Python. We will be using Google Colab to do
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HW0 Homework 0: Getting Started (10 points)¶ Due September 14, 2020 by 10pm¶ For this initial assignment, our primary goal is to familiarize you with the Jupyter/Python and Apache Spark “software stack” we will use through the semester. This class assumes you are comfortable programming in Python. We will be using Google Colab to do
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Spark DataFrame Spark DataFrame DSCI 551 Wensheng Wu 1 Create & display dataframes • country = spark.read.json(‘country.json’) # also supports read.csv(…) • city = spark.read.json(‘city.json’) • cl = spark.read.json(‘countrylanguage.json’) • country.show() # show top 20 rows as a table • Similar to country.head() in Pandas • country.show(5) • Also has head(5)/take(5), tail(5), collect() • return
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Course Review Introduction DSCI 551 Wensheng Wu 1 Logistics • Instructor email: • Class meeting times (2 sections): – MW 3:30-5:20pm – Tuesday 3:30-6:50pm • Office hours: – MW 2:30-3:15pm (Zoom, link to be posted) – After class – Please email for appointment 2 mailto: Logistics • TAs & office hours – Watch the announcements
Hadoop & MapReduce Hadoop & HDFS DSCI 551 Wensheng Wu 1 Hadoop • A large-scale distributed & parallel batch- processing infrastructure • Large-scale: – Handle a large amount of data and computation • Distributed: – Distribute data & computation over multiple machines • Batch processing – Process a series of jobs without human intervention 2
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Spark Apache Spark DSCI 551 Wensheng Wu 1 Roadmap • Spark – History, features, RDD, and installation • RDD operations – Creating initial RDDs – Actions – Transformations • Examples • Shuffling in Spark • Persistence in Spark 2 History 3 Apache took over Hadoop Characteristics of Hadoop • Acyclic data flow model – Data
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