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[Udemy.com] Learn Big Data and Hadoop from Scratch [2015, ENG]
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Learn Big Data and Hadoop from Scratch
#777 Год выпуска: 11/2015 Производитель: Compaq learning / Udemy Сайт производителя: udemy.com Продолжительность: 1:00 Тип раздаваемого материала: Видеоклипы Язык: Английский Описание: With a tremendous data revolution happening across the globe, it has become difficult to process data using the traditional processing. On completion the participant will know to change the economics of data by knowing how to keep data online forever using Big Data and Hadoop. This course mainly focuses on Big Data and Hadoop, providing a basic understanding of data storage giving an overview of commercial distributions along with other Hadoop ecosystem components such as Pig, Hive Sqoop, Zookeeper and MapReduce. You can take a glance at various concepts and components of Big Data and Hadoop,the course is divided into two sections of online content. The total duration of the course is 1 hour with an added advantage of 130 questions to check your knowledge in the areas covered. Содержание Section 1: Big Data and Hadoop an Introduction Lecture 1 Introduction to Big Data and Hadoop 00:13 Lecture 2 Objectives 00:25 Lecture 3 Need for Big Data 01:42 Lecture 4 Three Characteristics of Big Data 00:34 Lecture 5 Characteristics of Big Data Technology 01:52 Lecture 6 Appeal of Big Data Technology 00:49 Lecture 7 Handling Limitations of Big Data 00:49 Lecture 8 Introduction to Hadoop 01:00 Lecture 9 Hadoop Configuration 00:52 Lecture 10 Apache Hadoop Core Components 00:35 Lecture 11 Hadoop Core Components—HDFS 01:07 Lecture 12 Hadoop Core Components—MapReduce 00:44 Lecture 13 HDFS Architecture 01:12 Lecture 14 Ubuntu Server—Introduction 00:51 Lecture 15 Hadoop Installation—Prerequisites 00:26 Lecture 16 Hadoop Multi-Node Installation—Prerequisites 00:28 Lecture 17 Single-Node Cluster vs. Multi-Node Cluster 00:48 Lecture 18 MapReduce 01:08 Lecture 19 Characteristics of MapReduce 00:56 Lecture 20 Real-Time Uses of MapReduce 01:00 Lecture 21 Prerequisites for Hadoop Installation in Ubuntu Desktop 12.04 00:20 Lecture 22 Hadoop MapReduce—Features 00:52 Lecture 23 Hadoop MapReduce—Processes 00:47 Lecture 24 Advanced HDFS–Introduction 00:47 Lecture 25 Advanced MapReduce 00:54 Lecture 26 Data Types in Hadoop 01:15 Lecture 27 Distributed Cache 00:41 Lecture 28 Distributed Cache (contd.) 00:39 Lecture 29 Joins in MapReduce 00:43 Lecture 30 Introduction to Pig 00:39 Lecture 31 Components of Pig 00:59 Lecture 32 Data Model 00:47 Lecture 33 Pig vs. SQL 01:07 Lecture 34 Prerequisites to Set the Environment for Pig Latin 00:19 Quiz 1 Assessment Test Paper 1 21 questions Lecture 35 Summary 00:55 Section 2: Hive, HBase and Hadoop Ecosystem Components Lecture 36 Hive, HBase and Hadoop Ecosystem Components 00:19 Lecture 37 Objectives 00:23 Lecture 38 Hive—Introduction 00:54 Lecture 39 Hive—Characteristics 01:20 Lecture 40 System Architecture and Components of Hive 00:17 Lecture 41 Basics of Hive Query Language 00:38 Lecture 42 Data Model—Tables 00:32 Lecture 43 Data Types in Hive 00:15 Lecture 44 Serialization and De-serialization 01:18 Lecture 45 UDF/UDAF vs. MapReduce Scripts 00:47 Lecture 46 HBase—Introduction 01:14 Lecture 47 Characteristics of HBase 00:41 Lecture 48 HBase Architecture 01:04 Lecture 49 HBase vs. RDBMS 01:07 Lecture 50 Cloudera—Introduction 00:44 Lecture 51 Cloudera Distribution 01:07 Lecture 52 Cloudera Manager 00:33 Lecture 53 Hortonworks Data Platform 00:42 Lecture 54 MapR Data Platform 00:43 Lecture 55 Pivotal HD 00:52 Lecture 56 Introduction to ZooKeeper 00:23 Lecture 57 Features of ZooKeeper 01:12 Lecture 58 Goals of ZooKeeper 00:38 Lecture 59 Uses of ZooKeeper 00:49 Lecture 60 Sqoop—Reasons to Use It 01:25 Lecture 61 Sqoop—Reasons to Use It (contd.) 01:09 Lecture 62 Benefits of Sqoop 00:42 Lecture 63 Apache Hadoop Ecosystem 00:59 Lecture 64 Apache Oozie 00:43 Lecture 65 Introduction to Mahout 00:22 Lecture 66 Usage of Mahout 00:28 Lecture 67 Apache Cassandra 00:53 Lecture 68 Apache Spark 01:27 Lecture 69 Apache Ambari 00:32 Lecture 70 Key Features of Apache Ambari 00:51 Lecture 71 Hadoop Security—Kerberos 00:53 Quiz 2 Assessment Test Paper 2 19 questions Lecture 72 Summary 00:47 Section 3: Assessment Test Papers Quiz 3 Assessment Test paper 3 10 questions Quiz 4 Assessment Test paper 4 40 questions Quiz 5 Assessment Test paper 5 40 questions Section 4: Conclusion Lecture 73 Conclusion 00:07 Файлы примеров: отсутствуют Формат видео: MP4 Видео: AVC, 1280x720, 16:9, 24fps, 714kbps Аудио: AAC, 44.1kHz, 58kbps, stereo Скриншоты |
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