4/18/2021 0 Comments Big Data Tutorial Ppt
Hours to complete 5 hours to complete Reading 11 videos (Total 66 min), 8 readings, 3 quizzes See All Video 11 videos Hadoop: Why, Where and Who 3m The Hadoop Ecosystem: Welcome to the zoo 7m The Hadoop Distributed File System: A Storage System for Big Data 7m YARN: A Resource Manager for Hadoop 5m MapReduce: Simple Programming for Big Results 12m When to Reconsider Hadoop 4m Cloud Computing: An Important Big Data Enabler 6m Cloud Service Models: An Exploration of Choices 4m Value From Hadoop and Pre-built Hadoop Images 3m Copy your data into the Hadoop Distributed File System (HDFS) 4m Run the WordCount program 5m Reading 8 readings MapReduce in the Pasta Sauce Example 10m Slides for Getting Started With Hadoop 10m Downloading and Installing the Cloudera VM Instructions (Mac) 10m Downloading and Installing the Cloudera VM Instructions (Windows) 10m FAQ 10m Copy your data into the Hadoop Distributed File System (HDFS) Instructions 10m Run the WordCount program Instructions 10m How do I figure out how to run Hadoop MapReduce programs 10m Quiz 2 practice exercises Intro to Hadoop 30m Running Hadoop MapReduce Programs Quiz 30m Reviews 4.6 Filled Star Filled Star Filled Star Filled Star Half Filled Star 2032 reviews 5 stars 69.07 4 stars 24.31 3 stars 4.55 2 stars 1.11 1 star 0.94 TOP REVIEWS FROM INTRODUCTION TO BIG DATA Filled Star Filled Star Filled Star Filled Star Filled Star by HM Sep 9, 2019 I love the course.It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems.
Big Data Tutorial Ppt How To Run HadoopIt is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world At the end of this course, you will be able to. Big Data Tutorial Ppt Install Applications AndNo prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking About This Mac. Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7, Mac OS X 10.10, Ubuntu 14.04 or CentOS 6 VirtualBox 5. User Learner Career Outcomes Career direction 45 started a new career after completing these courses Career Benefit 39 got a tangible career benefit from this course Career promotion 11 got a pay increase or promotion Shareable Certificate Shareable Certificate Earn a Certificate upon completion 100 online 100 online Start instantly and learn at your own schedule. Specialization Course 1 of 6 in the Big Data Specialization Flexible deadlines Flexible deadlines Reset deadlines in accordance to your schedule. Hours to complete Approx. Available languages English Subtitles: Arabic, French, Portuguese (Brazilian), Korean, Russian, English, Spanish, Hindi, Persian. More Skills you will gain Big Data Apache Hadoop Mapreduce Cloudera User Learner Career Outcomes Career direction 45 started a new career after completing these courses Career Benefit 39 got a tangible career benefit from this course Career promotion 11 got a pay increase or promotion Shareable Certificate Shareable Certificate Earn a Certificate upon completion 100 online 100 online Start instantly and learn at your own schedule. More Instructors Instructor rating 4.675 (961 Ratings) Info Ilkay Altintas Chief Data Science Officer San Diego Supercomputer Center 348,402 Learners 12 Courses Amarnath Gupta Director, Advanced Query Processing Lab San Diego Supercomputer Center (SDSC) 333,333 Learners 9 Courses Offered by University of California San Diego UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Here, students learn that knowledge isnt just acquired in the classroomlife is their laboratory. Syllabus - What you will learn from this course Content Rating Thumbs Up 96 (45,859 ratings) Info Week 1 Week 1 Hours to complete 20 minutes to complete Welcome Welcome to the Big Data Specialization Were excited for you to get to know us and were looking forward to learning about you Hours to complete 20 minutes to complete Reading 2 videos (Total 3 min), 2 readings See All Video 2 videos Welcome to the Big Data Specialization 2m Tell us about yourself and learn about your classmates 20s Reading 2 readings By the end of this course you will be able to. Optional: Watch this fun video about the San Diego Supercomputer Center 10m Hours to complete 4 hours to complete Big Data: Why and Where Data -- its been around (even digitally) for a while. Well give examples and descriptions of the commonly discussed 5. But, we want to propose a 6th V and well ask you to practice writing Big Data questions targeting this V -- value. Hours to complete 3 hours to complete Reading 7 videos (Total 34 min), 9 readings, 1 quiz See All Video 7 videos Getting Started: Characteristics Of Big Data 3m Characteristics of Big Data - Volume 5m Characteristics of Big Data - Variety 5m Characteristics of Big Data - Velocity 6m Characteristics of Big Data - Veracity 6m Characteristics of Big Data - Valence 2m The Sixth V: Value 4m Reading 9 readings What does astronomical scale mean 10m A Small Definition of Big Data 10m Slides: Getting Started - Characteristics of Big Data 10m Slides: Characteristics of Big Data - Volume 10m Slides: Characteristics of Big Data - Variety 10m Slides: Characteristics of Big Data - Velocity 10m Slides: Characteristics of Big Data - Veracity 10m Slides: Characteristics of Big Data - Value 10m Slides: Characteristics of Big Data - Valence 10m Quiz 1 practice exercise V for the Vs of Big Data 30m Hours to complete 4 hours to complete Data Science: Getting Value out of Big Data We love science and we love computing, dont get us wrong. But the reality is we care about Big Data because it can bring value to our companies, our lives, and the world. Hours to complete 1 hour to complete Reading 4 videos (Total 19 min), 4 readings, 1 quiz See All Video 4 videos Getting Started: Why worry about foundations 1m What is a Distributed File System 6m Scalable Computing over the Internet 4m Programming Models for Big Data 6m Reading 4 readings Slides: Getting Started-Why Worry About Foundations 10m Slides: What is a Distributed File System 10m Slides: Scalable Computing Over the Internet 10m Slides: Programming Models for Big Data 10m Quiz 1 practice exercise Foundations for Big Data 20m Hours to complete 5 hours to complete Systems: Getting Started with Hadoop Lets look at some details of Hadoop and MapReduce. Then well go hands on and actually perform a simple MapReduce task in the Cloudera VM. Pay attention - as well guide you in learning by doing in diagramming a MapReduce task as a Peer Review.
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