Big Data Analytics (BCA435) crash course, Online BCA, Semester 4:
This subject covers big data concepts, MapReduce algorithms, the Hadoop architecture with HDFS and YARN, and ecosystem tools such as Hive, HBase, Pig and…
- 17 video lessons
- 4h 4m
- Study notes
- 75 quiz questions
- Assignment
17 lessons in Big Data Analytics
Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.
About this subject
This subject covers big data concepts, MapReduce algorithms, the Hadoop architecture with HDFS and YARN, and ecosystem tools such as Hive, HBase, Pig and Zookeeper. After it you will be able to set up and administer a basic Hadoop cluster, write MapReduce and HiveQL jobs, and judge which big data tools suit a given use case.
- 1
What is Big Data? The Four Vs
Module I, Introduction to Big Data: Introduction, distributed file system, Big Data and its importance, Four Vs, Drivers for Big data
Introduction to Big Data Analytics 🔥· Perfect Computer Engineer· 8 min
Study notes 5 quiz questionsWatch lesson - 2
Big Data Analytics and Applications
Module I, Introduction to Big Data: Big data analytics, Big data applications
Big Data Analytics| Big Data Tutorial For Beginners | Edureka | Big Data Rewind - 5· edureka!· 24 min
Study notes 5 quiz questionsWatch lesson - 3
MapReduce Algorithms and Matrix-Vector Multiplication
Module I, Introduction to Big Data: Algorithms using map reduce, Matrix-Vector Multiplication by Map Reduce
Matrix Vector Multiplication by MapReduce - Hadoop HDFS and MapReduce - Big Data Analytics· Ekeeda· 7 min
Study notes 5 quiz questionsWatch lesson - 4
Apache Hadoop and the Hadoop Ecosystem
Module II, Introduction Hadoop: Big Data, Apache Hadoop & Hadoop EcoSystem
Hadoop🐘Ecosystem | All Components Hdfs🐘,Mapreduce,Hive🐝,Flume,Sqoop,Yarn,Hbase,Zookeeper🪧,Pig🐷· Gate Smashers· 11 min
Study notes 5 quiz questionsWatch lesson - 5
Moving Data In and Out of Hadoop
Module II, Introduction Hadoop: Moving Data in and out of Hadoop
Moving Data in and out of Hadoop in Big Data Analyticts Unit 3 Jntuh DataScience· Sirisha Lectures· 18 min
Study notes 5 quiz questionsWatch lesson - 6
MapReduce Inputs, Outputs and Data Serialization
Module II, Introduction Hadoop: Understanding inputs and outputs of MapReduce, Data Serialization
Data Serialization in Big Data Analyticts· Sirisha Lectures· 18 min
Study notes 5 quiz questionsWatch lesson - 7
Hadoop Architecture and HDFS Explained
Module III, Hadoop Architecture: Hadoop Architecture, Hadoop Storage: HDFS, NameNode, Secondary NameNode, and DataNode
Architecture & Components of Hadoop Distributed File System HDFS Big Data Analytics by Mahesh Huddar· Mahesh Huddar· 19 min
Study notes 5 quiz questionsWatch lesson - 8
HDFS Shell Commands and File Read/Write Anatomy
Module III, Hadoop Architecture: Common Hadoop Shell commands, Anatomy of File Write and Read
Top HDFS Commands | Hadoop 🐘 | Big Data· Gate Smashers· 12 min
Study notes 5 quiz questionsWatch lesson - 9
Hadoop MapReduce: Jobs, Tasks and Trackers
Module III, Hadoop Architecture: Hadoop MapReduce paradigm, Map and Reduce tasks, Job, Task trackers
What is MapReduce in Hadoop ? 🔥🔥· Perfect Computer Engineer· 6 min
Study notes 5 quiz questionsWatch lesson - 10
Hadoop Cluster Setup and Administration
Module III, Hadoop Architecture: Cluster Setup, SSH & Hadoop Configuration, HDFS Administering, Monitoring & Maintenance
What is Hadoop Cluster? Hadoop Cluster Setup and Architecture | Hadoop Training | Edureka· edureka!· 18 min
Study notes 5 quiz questionsWatch lesson - 11
Hadoop Ecosystem Components and Fair/Capacity Schedulers
Module IV, Hadoop Ecosystem and Yarn: Hadoop ecosystem components, Schedulers - Fair and Capacity
Job Scheduling & Different Schedulers in Hadoop | BDA - 2.8· Ayan Memon· 5 min
Study notes 5 quiz questionsWatch lesson - 12
Hadoop 2.0: NameNode High Availability and HDFS Federation
Module IV, Hadoop Ecosystem and Yarn: Hadoop 2.0 New Features, NameNode High Availability, HDFS Federation
Hadoop 2.0 -- Features | YARN | Hadoop Federation | NameNode High Availability | Hadoop· edureka!· 12 min
Study notes 5 quiz questionsWatch lesson - 13
YARN and MapReduce v2
Module IV, Hadoop Ecosystem and Yarn: MRv2, YARN, Running MRv1 in YARN
noc19-cs33 Lec 06-Hadoop MapReduce 2.0 (Part-I)· IIT KANPUR-NPTEL· 40 min
Study notes 5 quiz questionsWatch lesson - 14
Hive Architecture and Installation
Module V, Hive and Hiveql, Hbase: Hive Architecture and Installation, Comparison with Traditional Database
Hive Tutorial for Beginners | Hive Architecture | Hadoop Hive Tutorial | Hadoop Training | Edureka· edureka!· 14 min
Study notes 5 quiz questionsWatch lesson - 15
HiveQL Queries, Joins and Subqueries
Module V, Hive and Hiveql, Hbase: HiveQL - Querying Data - Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries
Unit 5: Pig, Hive and HBase Big Data AKTU With Notes | BTech 3rd Year KCS 061· Engineering in One Video· 15 min
Study notes 5 quiz questionsWatch lesson - 16
HBase Concepts and Schema Design
Module V, Hive and Hiveql, Hbase: HBase concepts- Advanced Usage, Schema Design, Advance Indexing
Unit 5: Pig, Hive and HBase Big Data AKTU With Notes | BTech 3rd Year KCS 061· Engineering in One Video· 11 min
Study notesWatch lesson - 17
Apache Pig and Zookeeper
Module V, Hive and Hiveql, Hbase: PIG, Zookeeper - how it helps in monitoring a cluster, HBase uses Zookeeper and how to Build Applications with Zookeeper
26. Zookeeper | Hadoop | Big Data | Nados· Pepcoding· 6 min
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Assignment
Design and Walk Through a Hadoop Pipeline for a Retail Sales Dataset
Less scrolling. More passing.
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Hand-picked video lessons
17 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.
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Study notes
16 lessons come with a summary, key points, key terms and takeaways for quick revision.
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Quizzes
75 questions across the course, with the right answer and why, the moment you pick.
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Assignments
1 subject assignments with clear tasks, so you practise what each subject actually asks of you.
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Notebook
Write notes beside the video, stamped with the exact time, and jump back to that moment later.
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Progress that follows you
Completed lessons, quiz scores and where you stopped, saved to your account on every device.
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Live chat
A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.
The Online BCA live chat. Study together, live.
A live chat right beside the video, shared by everyone studying Online BCA. Ask a Big Data Analytics doubt mid-lesson, share a shortcut, celebrate a finished semester.
- Live chat beside every lesson
- One live chat for all of Online BCA
- Members-only stickers & GIFs
- One ₹19 pass opens every live chat
Online BCA live chat
Anyone else finding Big Data Analytics tricky? 😅
Lesson 2 cleared it up for me. Watch it before the quiz
Doing it now, thanks!
Starting Cloud Computing tonight if anyone wants to go together
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Big Data Analytics: common questions
This subject covers big data concepts, MapReduce algorithms, the Hadoop architecture with HDFS and YARN, and ecosystem tools such as Hive, HBase, Pig and Zookeeper. After it you will be able to set up and administer a basic Hadoop cluster, write MapReduce and HiveQL jobs, and judge which big data tools suit a given use case. It's the Big Data Analytics subject of Online BCA, Semester 4, in 17 lessons: What is Big Data? The Four Vs; Big Data Analytics and Applications; MapReduce Algorithms and Matrix-Vector Multiplication; Apache Hadoop and the Hadoop Ecosystem; Moving Data In and Out of Hadoop; MapReduce Inputs, Outputs and Data Serialization; Hadoop Architecture and HDFS Explained; HDFS Shell Commands and File Read/Write Anatomy; Hadoop MapReduce: Jobs, Tasks and Trackers; Hadoop Cluster Setup and Administration; Hadoop Ecosystem Components and Fair/Capacity Schedulers; Hadoop 2.0: NameNode High Availability and HDFS Federation; YARN and MapReduce v2; Hive Architecture and Installation; HiveQL Queries, Joins and Subqueries; HBase Concepts and Schema Design; Apache Pig and Zookeeper.
Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.
About 4h 4m of video across 17 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.
Yes: “Design and Walk Through a Hadoop Pipeline for a Retail Sales Dataset”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.
A members-only live chat beside the video, shared by everyone studying Online BCA, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.
No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.