Section 1 : Introduction

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf

Section 2 : Defining Big Data

Lecture 2 The volume, velocity, and variety of big data 5:51
Lecture 3 Artificial intelligence and machine learning
Lecture 4 Social media and the Internet of Things 5:52
Lecture 5 Data warehouses, data lakes, and the cloud 8:25
Lecture 6 Edge computing and fog computing

Section 3 : How Is Big Data Used

Lecture 7 Big data for business strategy 6:49
Lecture 8 Big data for customer interactions 4:28
Lecture 9 Big data for applications 4:41

Section 4 : Big Data and Data Science

Lecture 10 Ten ways big data is different from small data 5:59
Lecture 11 The three facets of data science 2:22
Lecture 12 Data science without big data 2:41
Lecture 13 Big data without data science 3:20

Section 5 : Ethics in Big Data

Lecture 14 Big data and privacy
Lecture 15 Data governance 6:2

Section 6 : Data Logistics

Lecture 16 Structured, semi-structured, and unstructured data 6:6
Lecture 17 Batch processing vs 4:22
Lecture 18 Distributed storage and processing 3:8
Lecture 19 An evolving data landscape 5:48

Section 7 : Analyzing Big Data

Lecture 20 Challenges with data preparation
Lecture 21 Visualizing big data 5:13
Lecture 22 Data mining 4:39
Lecture 23 Text analytics
Lecture 24 Sentiment analysis 4:48
Lecture 25 Predictive analytics 4:7
Lecture 26 Anomaly detection 3:59