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

💠💠This Specialization contain 5 courses, 💠💠

⭐ (4) Cloud Computing Applications, Part 2 Big Data and Applications in the Cloud ( This video cover this course )

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👉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
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💠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

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