Section 1 : Overview

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 2 Course Structure and Approach copy 3:15
Lecture 3 Course Pre-requisites 2:49
Lecture 4 Course Outcomes 2:9

Section 2 : Environment Setup

Lecture 5 Google Cloud Account Setup 1:39
Lecture 6 Creating a Dataproc Cluster 12:47
Lecture 7 GCP Account Best Practices 2:55
Lecture 8 Twitter Developer Account Setup 3:31

Section 3 : Getting Started with Big Data Journey

Lecture 9 Definition of Big Data 10:20
Lecture 10 Data Lake Overview 6:3
Lecture 11 Key Roles in Big Data Science Project 16:56
Lecture 12 Big Data Logical Architecture 20:1
Lecture 13 Typical Big Data Pipeline 6:0
Lecture 14 Hadoop Overview 9:20
Lecture 15 Bonus Demystifying JVM vs JDK vs JRE

Section 4 : Hadoop Filesystem

Lecture 16 HDFS Overview 6:17
Lecture 17 Small FS vs HDFS 3:13
Lecture 18 HDFS Architecture 11:24
Lecture 19 Hands-on HDFS 11:32
Lecture 20 Hands-on HDFS Text

Section 5 : Distributed Processing using MapReduce and Beyond

Lecture 21 Introduction to MapReduce 5:7
Lecture 22 Logical & Physical Architecture of MR
Lecture 23 YARN (Distributed OS) 7:8
Lecture 24 YARN Architecture 14:55
Lecture 25 Hands-on Spark Job on YARN 9:52
Lecture 26 Spark on Yarn - Hands-on Text

Section 6 : Data Persistence in Big Database

Lecture 27 RDBMS USPs & its Limitations 6:58
Lecture 28 Polyglot Persistence 6:36
Lecture 29 Why HBase and Limitations 10:50
Lecture 30 HBase Terms 9:42
Lecture 31 HBase Physical Storage 4:38
Lecture 32 HBase Architecture 16:59
Lecture 33 Installation HBase on DataProc cluster 5:7
Lecture 34 Installing Confluent Kafka 7:39
Lecture 35 Installing Confluent Kafka - Hands On Text
Lecture 36 Hands-on HBase 8:13
Lecture 37 Hands-on HBase Text

Section 7 : Data Ingestion using Sqoop

Lecture 38 Sqoop Overview 7:7
Lecture 39 Sqoop Architecture 8:51
Lecture 40 Sqoop Installation 11:49
Lecture 41 Sqoop Installation Text
Lecture 42 Sqoop Hands-on 5:12
Lecture 43 Sqoop Hands-on Text

Section 8 : Data Analysis using Hive & Impala

Lecture 44 Hive Introduction 8:12
Lecture 45 Hive Architecture 6:54
Lecture 46 Impala Overview 6:52
Lecture 47 Impala Architecture 12:27
Lecture 48 Text vs Binary Data Formats 3:29
Lecture 49 Avro Format
Lecture 50 Hive Hands-on 16:19
Lecture 51 Hive Hands-on Text
Lecture 52 Hands-on Sqoop + Hive Integration 9:28
Lecture 53 Hands-on Sqoop + Hive Integration Text
Lecture 54 Hands-on Schema Evolution 18:54
Lecture 55 Hands-on Schema Evolution Text

Section 9 : Data Processing using Spark

Lecture 56 Spark Overview 6:55
Lecture 57 Spark Logical Perspective 7:17
Lecture 58 Spark Physical Architecture
Lecture 59 Spark Core Vs Spark SQL 4:22
Lecture 60 Spark Execution Modes 8:51
Lecture 61 Hands-on Spark on Jupyter 13:8

Section 10 : Streaming Events through Kafka

Lecture 62 Introduction to Apache Kafka 9:24
Lecture 63 Evolution of Kafka
Lecture 64 Why Kafka 12:7
Lecture 65 Apache Kafka Vs Confluent Kafka 7:9
Lecture 66 Kafka Architecture 20:41
Lecture 67 Kafka Demo - Producer Consumer 4:6
Lecture 68 Kafka Demo - Producer Consumer Text

Section 11 : Building Dataflows using NiFi

Lecture 69 NiFi Overview 10:57
Lecture 70 NiFi UseCases 3:17
Lecture 71 NiFi Limitations 3:19
Lecture 72 NiFi Components and its Architecture 9:12
Lecture 73 Hands-on NiFi Installation on GCP 7:11
Lecture 74 Hands-on NiFi Installation on GCP Text
Lecture 75 Hands-on Twitter Data Ingestion Using Nifi Part 1 15:9
Lecture 76 Hands-on Twitter Data Ingestion Using Nifi Part 2 14:2
Lecture 77 Hands-on Twitter Data Ingestion Using Nifi Part 3 4:40

Section 12 : Epilogue

Lecture 78 Conclusion 0:39