Cloud Computing Applications, Part 2 Big Data and Applications in the Cloud

💠💠This Specialization contain 5 courses, 💠💠 ⭐(1) Cloud Computing Concepts, Part 1, (    • Cloud Computing Tutorial Beginner to Advan...   ) ⭐(2) Cloud Computing Concepts Part 2, (    • Cloud Computing Tutorial Beginner to Advan...   ) ⭐(3) Cloud Computing Applications, Part 1 Cloud Systems and Infrastructure (Click here :    • Cloud Computing Applications, Part 1: Clou...   ) ⭐ (4) Cloud Computing Applications, Part 2 Big Data and Applications in the Cloud ( This video cover this course ) ⭐ (5) Cloud Networking (Click here :    • Cloud Networking Full Course   ) -------------------------------------------------------------------------------------------------------- ⭐⭐⭐⭐🕑TIME STAMP📋⭐⭐⭐⭐⭐ 👉COURSE ORIENTATION 0:00:00 Welcome to Cloud Applications, Part 2 👉SPARK, HORTONWORKS, HDFS, CAP 0:26:23 Motivation for spark 0:35:20 Apache Spark 0:46:43 Spark Example Log Mining 0:55:45 Spark Example Logistic Regression 1:03:33 RDD Fault Tolerance 1:08:02 Interactive Spark 1:12:21 Spark Implementation 1:17:08 Introduction to Distros 1:20:36 Hortonworks 1:44:21 Cloudera CDH 1:47:11 MapR Distro 1:49:34 HDFS Introduction 2:04:51 YARN and MESOS 👉LARGE SCALE DATA STORAGE 2:14:29 Module 2 Introduction 2:20:26 Introduction to MapReduce with Spark 2:24:09 MapReduce Motivation 2:39:53 MapReduce Programming Model with Spark 2:48:53 MapReduce Example Word Count 2:58:46 MapReduce Example Pi Estimation & Image Smoothing 3:13:47 MapReduce Example Page Rank 3:27:44 MapReduce Summary 3:31:53 Eventual Consistency - Part 1 3:42:44 Eventual Consistency - Part 2 4:02:47 Consistency Trade-offs 4:07:34 ACID and BASE 4:27:02 Zookeeper and Paxos Introduction 4:37:49 Paxos 4:55:45 Zookeeper 5:11:57 Cassandra Introduction 5:39:17 Redis 5:46:44 Redis Demonstration 6:00:51 HBase Usage API 6:16:25 HBase Internals - Part 1 6:34:17 HBase Internals - Part 2 6:43:30 Spark SQL 6:51:40 Spark SQL Demo 7:00:27 Kafka 👉STREAMING SYSTEMS 7:18:00 Module 3 Introduction 7:28:28 Streaming Introduction 7:38:07 Big Data Pipelines The Rise of Real-Time 7:45:10 Storm Introduction Protocol Buffers & Thrift 8:00:14 A Storm Word Count Example 8:03:22 Writing the Storm word Count Example 8:13:52 Storm Usage at Yahoo 8:17:24 Anchoring and Spout Replay 8:34:42 Trident Exactly once processing 8:44:46 Inside Apache Storm 8:54:15 The Structure of a storm cluster 8:58:31 Using Thrift in Storm Cluster 9:08:34 How Storm Schedulers work 9:20:58 Scalling storm to 4000 Nodes 9:35:05 Q&A with Bobby Evans (Yahoo) on Storm 10:07:40 Spark Streaming 10:25:41 Lambda and Kappa Architecture 10:30:12 Streaming Ecosystem 👉GRAPH PROCESSING AND MACHINE LEARNING 10:54:19 Graph processing 11:16:53 Pregel - Part 1 11:24:14 Pregel - Part 2 11:35:15 Pregel - Part 3 11:41:28 Giraph Introduction 11:48:14 Giraph Example 11:53:00 Spark GraphX ------------------------------------------------------------------------- 💠About this Course💠 Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! ⭐ Important Links and Notes ⭐ ⌨️ This course is created in collaboration with University of Illinois ✨✨PLEASE IGNORE THESE TAGS✨✨ #cloudcomputingtutorialforbeginners #cloudcomputingexplained #cloudcomputingtutorial #cloudcomputingandbigdataanalytics #cloudcomputingfullcourse #cloudcomputingcourse #cloudcomputingexpertcourse #PART1 cloud computing course,cloud computing explained,cloud computing tutorial,networking and cloud computing,networking and cloud computing course,cloud computing bootcamp,cloud computing full course,cloud computing for beginners,cloud computing fundamentals,PART 4 ,coursera