Intro to Hadoop

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This is an offline about Hadoop, organized by Contemi Vietnam. Our presenter are Quang Nguyen (Sebastian) and Hoang Le (Ethan). This event is co-ordinated by Phuong Dung (Keziah).

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Intro to Hadoop

  1. 1. INTRODUCTION TO HADOOP Presented by Quang Nguyen & Hoang Le
  2. 2. CONTENT • Introduction to Hadoop • Scalability on AWS / Azure • Reality • First 100-hour Award • Second 100-hour Overview • Career Path • Q & A
  3. 3. INTRODUCTION TO HADOOP
  4. 4. SCALABILITY ON AWS / AZURE
  5. 5. DISTRIBUTED SYSTEMS MPI vs Hadoop
  6. 6. DRIVERIGHT PROJECT • Target: collect driving experience by mobile application for analyzing driving habits • Purposes: • Improve driving ability • Supply driver’s information to needed companies • Market: China • Scale-out Problem: • Millions of users with rich data resources (records in milliseconds) • MySQL database is not efficient for Big Data Analytics
  7. 7. R - Python Tableau Mobile Apps Mobile Platform DRIVE-RIGHT ARCHITECTURE
  8. 8. REALITY
  9. 9. FIRST 100-HOUR AWARD
  10. 10. SECOND 100-HOUR OVERVIEW #101 – Java & IntelliJ setup #102 – Java programming part 1 #103 – Java programming part 2 #104 – Java programming part 3 #105 – Java programming part 4 #106 – Single-node Hadoop #107 – Multi-node Hadoop #108 – Map Reduce basis #109 – Intro to Map Reduce programming #110 – Map Reduce Design Pattern part 1 #111 – Map Reduce Design Pattern part 2 #112 – Apache Mahout 1 – Setting Up #113 – Apache Mahout 2 – Building Recommenders #114 – Apache Mahout 3 – Building Clustering Systems #115 – Final Project II
  11. 11. PLAN FOR THE YEAR Internship Program Club Sponsorship Capable & young data scientists $$$ Effort Smart students
  12. 12. Q & A

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