BCA Semester VI - Big Data Analytics
BIG DATA ANALYTICS
Updated on Nov, 2024
Language - English
Lectures -381
Resources -9
Duration -29 hours
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Course Description
Unit- I Introduction:
What Is Big Data and Why Is It Important? A Flood of Mythic “Start-Up” Proportions, Big Data Is More Than Merely Big Why Now? A Convergence of Key Trends , Relatively Speaking , A Wider Variety of Data, The Expanding Universe of Unstructured Data.
Unit-II Big Data Technology:
The Elephant in the Room: Hadoop’s Parallel World. Old vs. New Approaches, Data Discovery: Work the Way People’s Minds Work, Open-Source Technology for Big Data Analytics, The Cloud and Big Data, Predictive Analytics Moves into the Limelight.
Unit-III A Brief History of Hadoop:
Apache Hadoop and the Hadoop Ecosystem. MapReduce: Analyzing the Data with Hadoop, Map and Reduce, Java MapReduce, Scaling Out, Data Flow, Combiner Functions, Running a Distributed Map Reduce Job, Hadoop Streaming, The Hadoop Distributed File system ,The Design of HDFS, HDFS Concepts, Blocks, Name nodes and Data nodes
Curriculum
Check out the detailed breakdown of what’s inside the course
Unit 1-Introduction
67 Lectures
-
Google Cloud Account Setup
01:39
01:39
-
Definition of Big Data
10:20
10:20
-
HDFS Overview
06:16
06:16
-
Introduction to MapReduce
05:07
05:07
-
Why NoSQL?: RDBMS USPs & its Limitations
06:58
06:58
-
Sqoop Overview
07:06
07:06
-
Hive Introduction
08:11
08:11
-
Spark Overview
06:55
06:55
-
Introduction to Apache Kafka
09:24
09:24
-
NiFi Overview
10:56
10:56
-
Conclusion
00:39
00:39
-
Course Structure and Approach
03:14
03:14
-
Creating a Dataproc Cluster
12:47
12:47
-
Data Lake Overview
06:03
06:03
-
Small FS vs HDFS
03:12
03:12
-
Logical & Physical Architecture of MR
15:51
15:51
-
Polyglot Persistence
06:36
06:36
-
Sqoop Architecture
08:51
08:51
-
Hive Architecture
06:54
06:54
-
Spark Logical Architecture
07:17
07:17
-
Evolution of Kafka
04:33
04:33
-
NiFi UseCases
03:17
03:17
-
Course Pre-requisites
02:48
02:48
-
GCP Account Best Practices
02:55
02:55
-
Key Roles in a Big Data Science Project
16:56
16:56
-
HDFS Architecture
11:23
11:23
-
YARN (Distributed OS)
07:08
07:08
-
Why HBase and Limitations
10:50
10:50
-
Sqoop Installation
11:49
11:49
-
Impala Overview
06:52
06:52
-
Spark Physical Architecture
14:12
14:12
-
Why Kafka?
12:07
12:07
-
NiFi Limitations
03:18
03:18
-
Course Outcomes
02:08
02:08
-
Twitter Developer Account Setup
03:31
03:31
-
Big Data Logical Architecture
12:57
12:57
-
Hands-on: HDFS
11:32
11:32
-
YARN Architecture
14:55
14:55
-
HBase Terms
09:42
09:42
-
Hands-on: Sqoop
05:12
05:12
-
Impala Architecture
12:27
12:27
-
Spark Core Vs Spark SQL
04:21
04:21
-
Apache Kafka Vs Confluent Kafka
07:09
07:09
-
NiFi Components and its Architecture
09:12
09:12
-
Typical Big Data Pipeline
06:00
06:00
-
Hands-on: Spark on YARN
09:52
09:52
-
HBase Physical Storage
04:38
04:38
-
Text vs Binary Data Formats
03:29
03:29
-
Spark Execution Modes
08:51
08:51
-
Kafka Architecture
20:41
20:41
-
Hands-on: NiFi Installation on GCP
07:11
07:11
-
Hadoop Overview
09:20
09:20
-
HBase Architecture
16:58
16:58
-
Avro Format
05:16
05:16
-
Hands-on: Spark on Jupyter
13:08
13:08
-
Hands-on: Kafka Console Producer Consumer
06:38
06:38
-
Hands-on: Twitter Data Ingestion Using Nifi Part 1
15:09
15:09
-
Bonus for non-Java participants: Demystifying JVM vs JDK vs JRE
06:06
06:06
-
Hands-on: Installation HBase on DataProc cluster
05:07
05:07
-
Hands-on: Hive
16:19
16:19
-
Hands-on: Twitter Data Ingestion Using Nifi Part 2
14:01
14:01
-
Hands-on: Installing Confluent Kafka
09:09
09:09
-
Hands-on: Sqoop + Hive Integration
09:27
09:27
-
Hands-on: Twitter Data Ingestion Using Nifi Part 3
04:40
04:40
-
Hands-on: KSQLDB Troubleshoot
02:46
02:46
-
Hands-on: Schema Evolution
18:53
18:53
-
Hands-on: HBase
08:12
08:12
Unit-2-Big Data Technology
32 Lectures
Unit 3 - A Brief History of Hadoop
185 Lectures
Unit 4 - Information Management
70 Lectures
Unit 5 - Geospatial Intelligence, Data Privacy and Ethics
27 Lectures
Instructor Details
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