YouTube Channel

SN

Playlist

Videos

Videos links

1.

InfluxDB: Time Series Database Platform
  1. InfluxDB: A demo of Basics needed to be used by applications
  2. InfluxDB: Basic Commands
  3. InfluxDB Installation
  4. InfluxDB: To Connect InfluxDB Database with Python Client Library for Reading and Writing Data

 
  1. https://youtu.be/mgV1XL_PNCg?si=1FQ7ewTicX7VdJX-
  2. https://youtu.be/3ds7A0rEYA0?si=59ZkmexsxnECmsZn
  3. https://youtu.be/akzv_gFPOAY?si=vTq0Ic9o-XI6kvjL
  4. https://youtu.be/Z2SNhlX8JDk?si=cqXgssEJzpKvkRPR

2.

Mini Projects
  1. Extract Transform Load (A mini project)
  2. Retail Price Optimization (A mini project)
  3. Sentiment Analysis and Ranking (A mini project)
  4. Topic Identification (A mini project)
  5. Resume Parsing Analysis (A mini project)
  6. Market Basket Analysis (A mini project)
  7. Sales Forecasting (Video-2)
  8. Sales Forecasting (Video-1)
  9. Chatbot (Video-2)
  10.  Chatbot (Video-1)
  1. https://youtu.be/j-rh5ytvfp8?si=wN4tU7UNfKsbB4Yw
  2. https://youtu.be/_BFyMa4UJCE?si=I9cul39ufjqcnzFP
  3. https://youtu.be/lr_onN1Ymg4?si=U0Mvx5akinbkWpZV
  4. https://youtu.be/_xj0mUMREzI?si=nxDckx04UUslb-si
  5. https://youtu.be/7KeXjDTcVNs?si=Bt_OFl3FSJhMynsR
  6. https://youtu.be/tU3vEYsozH8?si=LGLMg60s6i4Havzh
  7. https://youtu.be/daq8NOA0Sc8?si=98uRkgUeoZPV8x1c
  8. https://youtu.be/jXwbK7-yeyo?si=JY9Cjk4L3kldCWMA
  9. https://youtu.be/BWD8wyqtoLA?si=-dzFcpQA6XJwUmMq
  10. https://youtu.be/rxzHVYXjC3o?si=rNt-XjYABdpBtond

3.

Streaming Data Analytics
  1. DGIM Algorithm
  2. Anomaly Detection Using FM algorithm
  3. Decay Window
  4. Bloom Filter (Video-2)
  5. Bloom Filter (Video-1)
  6. Flajolet Martin (FM) Algorithm

 
  1. https://youtu.be/XO2S5osFy_M?si=zMeW4DCrbHAlD4nk
  2. https://youtu.be/RcTjQYwaZSw?si=zTFHiWE5uotnQS-f
  3. https://youtu.be/xqTWqJxA1PQ?si=Jcqb5zK0bYdA-UjD
  4. https://youtu.be/Ewtf_F__unA?si=RwqXVBBoqzucXITn
  5. https://youtu.be/6k8ds-o5ReU?si=AewI_MyzpWj-L73-
  6. https://youtu.be/Up-Zx-lQXLY?si=h-7vnqkB-KWFcb6X

4.

Database Systems:Introduction
  1. Database Systems: Introduction (Video-01)

 
  1. https://youtu.be/ayHCba-fom0?si=zHjvmY6LVheDNELE

5.

Db40
  1. db4o: An Introduction

 
  1. https://youtu.be/c_Hpx93ifZ8?si=r4R7ODYgf5O4qYHG

6.

Cassandra
  1. Cassandra Installation
  2. Cassandra: CRUD (Create, Update, Read and Delete) operations

 

 
  1. https://youtu.be/kVOCeawMt-Q?si=C1H236eNi7tMJ2zy
  2. https://youtu.be/ON0p9-oOaD0?si=GWvmqfZymjnOX14q

7.

MinIO
  1. MinIO: An Introduction
  2. MinIO: Installation
  3. MinIO: Storing Objects in a Bucket

 

 
  1. https://youtu.be/7ttFInLPBuo?si=8OhJiU8U-Hc8gX7G
  2. https://youtu.be/4BubGeTKGHM?si=0m5Th0-YuHLs_TTx
  3. https://youtu.be/T8BDFuBhk-I?si=GezNLf5Gs9gAz1B9

8.

NextCloud

 
  1. NextCloud: Creating Local cloud
  1. https://youtu.be/GTBuC07dBkE?si=2x3ftS2XfN3q30Ub

9.

Redis
  1. Redis: Installation on Windows
  2. Redis: Creating Instances of Redis and Configuring Them as a Cluster on the Same Machine
  3. Redis: Sharding of Data
  1. https://youtu.be/rtnnDHuVQos?si=b_50-2raOwc_EF8b
  2. https://youtu.be/3g0UkgCi-A4?si=CrnN2RfFSS-l1Rkr
  3. https://youtu.be/aMR9IMtGNqg?si=hYBp28QH1du7JT_k

10.

Azure
  1. Accessing public cloud Azure from GitHub.
  2. About Azure (Microsoft's Cloud)

 

 
  1. https://youtu.be/Wm5I1R53xuo?si=YF0h0sl94QI8Jmyy
  2. https://youtu.be/N98PET623og?si=qIqJoCvUpnLBOJio

11.

Openstack
  1. OpenStack: Installation Error Handling
  2. Open Stack Installation on a Single Machine (Video-1)
  3. Open Stack Installation (Video-2)
  4. Open Stack Installation (Video-3)

 
  1. https://youtu.be/O5-hoaFw8Wg?si=WxOiKwOlEWnnqccQ
  2. https://youtu.be/xV4oMgnACcw?si=NLCT1epTfuXApVj3
  3. https://youtu.be/KC5qWmod1cE?si=HeWwQLdQYij0NCrl
  4. https://youtu.be/CpZ2jK95a4E?si=5YbZib8crhHsJH__

12.

Graph Database/Neo4j
  1. Graph Database: Family Relationships
  2. Graph Database: Email Interaction
  3. Graph Databases Using Neo4j
  4. Building Big Data Pipeline
  5. Social Media Analysis Using Graph Databases
  6. Fraud Detection using Graph Database
  7. Relationships between Entities in Graph Databases
  8. Neo4J: A Use Case
  9. Neo4j: Creating Databases
  10. Neo4j: Installation and Get Started

 

 
  1. https://youtu.be/26t736xcFZM?si=hIcI167eHzDtd_oE
  2. https://youtu.be/ehcILfPmw7I?si=I7dryZIleE6Mp5qq
  3. https://youtu.be/OQX7nN0eCMs?si=F_HSyfwL_PC9Bbfo
  4. https://youtu.be/NryOMbXUOGE?si=-Dbqqi6HJXFHASC1
  5. https://youtu.be/IQkDeo0m9CY?si=hhNcfn_7OSovL2a6
  6. https://youtu.be/n7na16GbYPM?si=9Gji7WaU51IWsezK
  7. https://youtu.be/lGcHyUQkx0s?si=x5A49CluShft9I_f
  8. https://youtu.be/rGO1pjFPR7I?si=vwBSNezdZZX6_SvL
  9. https://youtu.be/xwObLzLcMJ0?si=KlA85SxQt6AgOjjx
  10. https://youtu.be/Daac7CfgzkM?si=jYDuVYH29y2SDVqd

13.

Big Data Analytics: NoSQL Databases
  1. NoSQL Databases-1: Introduction
  2. NoSQL Databases-2: ACID, CAP, and BASE
  3. NOSQL Databases-3: Key-Value Databases/Stores
  4. NOSQL Databases-4: Consistent Hashing (Key-Value Databases/Stores)
  5. NOSQL Databases-5: Document oriented Databases/Stores

 
  1. https://youtu.be/AjPKX0rTZ-A?si=54byADOkyqnS98Q7
  2. https://youtu.be/V9yV2tspeO0?si=YQA5m_NrCbYeDmYa
  3. https://youtu.be/TI3X4lXEm7Q?si=t5UFzLaljOVQWfTb
  4. https://youtu.be/SHQKp9OmqzY?si=0xmGsnqMX2Xtlppf
  5. https://youtu.be/k38kM4tc3a4?si=g2H4Hb2wwWhLIjFc

14.

Non-academic
  1. NooNoo-Bhai-1
  2. NooNoo-Bhai-2
  3. Video 1

 
  1. https://youtu.be/xIcmUKHu9iU?si=brPKWgS3xYnNANmi
  2. https://youtu.be/DD7WWo3ghmo?si=dRxW601CDF_LGX2R
  3. https://youtu.be/C01c2Yxuo24?si=ZRzzpwnPXr460VmL

15.

Big Data Analytics: Hadoop
  1. Hadoop-2
  2. Hadoop-1

 
  1. https://youtu.be/v7iQQmv0KuI?si=vb8TYCBPuvTg5v9V
  2. https://youtu.be/Oimq9OMkZ8A?si=W6ZQFZvagrhYspWy

16.

Big Data Analytics: Introduction

Big Data Analytics: Introduction-1

 

https://youtu.be/bz4AMb-hscs?si=qfHghKqMh2Uw9r2P

 

17.

Data Mining: About Data
  1. Data Mining: About Data-01
  2. About Data-02 (Basic Statistical Descriptions of Data)
  3. About Data-03 (Data Similarity and Dissimilarity Measures)
  4. About Data-04 (Continue to Lecture -03; Data Similarity and Dissimilarity Measures)
  5. About Data-05 (Data Preprocessing-1)
  6. About Data-06 (Data Preprocessing-2)

 
  1. https://youtu.be/QlF-bhF1oYU?si=jmv5sE0k8YoDrFDH
  2. https://youtu.be/poKM75WnAxQ?si=e4ISWWYVbMpmDXR-
  3. https://youtu.be/kYkZAJMQHYY?si=ZWmNUryDg3hMmhBK
  4. https://youtu.be/PT3lB1TfIRE?si=w7AFlntYIcWzAu-Y
  5. https://youtu.be/ADwF0F5B0u4?si=HhOvzitM2_K1Hqlr
  6. https://youtu.be/ik8zWQjc-Lk?si=4x7sUNK7I6n1Hc3f

18.

Data Mining: Introduction

  1. Data Mining: Introduction 00
  2. Data Mining: Introduction 01
  3. Data Mining: Introduction 02
  4. Data Mining: Introduction 03
  5. Data Mining: Introduction 04
  6. Data Mining: Introduction 05
  7. Data Mining: Introduction 06

 
  1. https://youtu.be/4Ff5boZDikE?si=ZjIsbUulNLA84SWB
  2. https://youtu.be/W_xbPm6Hp2M?si=yuMNqnQQg4HDjZPt
  3. https://youtu.be/xt4wktt606s?si=d7x75Ia9FZrpEL9v
  4. https://youtu.be/ppLKbykTZ-Q?si=yO94TAb26P747HVw
  5. https://youtu.be/B5zPiY1bJRc?si=oR9zI4srNz68upN8
  6. https://youtu.be/HFfHQ91Kn90?si=pBgd38eXAupo7wNg
  7. https://youtu.be/4Ff5boZDikE?si=ZjIsbUulNLA84SWB

19.

Database Lab
  1. Exeriment-3: Queries 3,10,13,14, and 15
  2. Experiment 3: Adding constraint for attribute Gender = ('M', 'F')
  3. Experiment 3: Query 1 (Updating details of ...)
  4. SQL (Video-3)
  5. SQL (Video-2)
  6. Inserting Tuples in a Table
  7. SQL (Video-1)
  8. Experiment 3 (Video -2)
  9. Experiment 3 (Video-1)
  10. Experiment 2 (Video 2)
  11. Experiment 2 (Video-1)

 
  1. https://youtu.be/mhNFiz_VuwA?si=hW-fzdDZjZExQnFp
  2. https://youtu.be/863MgbRn4P4?si=akhTbSZ9oJveYtky
  3. https://youtu.be/863MgbRn4P4?si=Pc3yVH6SUhFTU_oV
  4. https://youtu.be/-bCT5CIwHQw?si=k-oJanH9GGoS9jh5
  5. https://youtu.be/R64fvQOHczo?si=czjgkRao0HUx9Rah
  6. https://youtu.be/lqm0lm2dT4A?si=85Hu7PvfIAszRXJs
  7. https://youtu.be/ycHkFv0CM8k?si=hkVnO31U697r78uz
  8. https://youtu.be/JJGab230dns?si=dEzvkII8CLpwtnAa
  9. https://youtu.be/RuTw4gGdTug?si=UktR44EU8lXJCVfd
  10. https://youtu.be/E9xvtNReWU8?si=3zdok_LCc0lziHTt
  11. https://youtu.be/YA8Il9dnkTY?si=U90Md6ZPKBOY83I5

20.

PIG Latin
  1. Sort, Filter and Group operations using PIG Latin scripts
  2. Join using PIG Latin
  3. Pig Latin Code file
  4. PIG Experiment (Create a movies collection, load the data from a .txt file and list ...)

 
  1. https://youtu.be/z6D8_qhfrXI?si=ee-DePCV75qOT3CL
  2. https://youtu.be/nIm6WWkhS-8?si=px8GAUfxwFbpFZQe
  3. https://youtu.be/BmeR5pvJSS8?si=PJ4zjftITCwtZ0ow
  4. https://youtu.be/_im2oRFVex8?si=M6hzE_tfUWYuw-1u

21.

Spark Streaming

  1. Spark Streaming Example (Print top 5 hashtags in thein every 30 seconds of the last 60 seconds)
  2. Fetching Twitter Data
  3. Steps for Fetching Twitter data
  4. Program code (Spark streaming example)

 
  1. https://youtu.be/nm27quxOQjw?si=RoO6HU-rFyHzSOxK
  2. https://youtu.be/YlEegglMaIo?si=ainhbBo-XxWhyL3t
  3. https://youtu.be/u8AhNvbQRmM?si=4QLTHbYzigUA9Rh_
  4. https://youtu.be/hFeXxmd4dMg?si=tn6pXS60Z4LLpXWU

22.

MongoDB

  1. MongoDB installation
  2. MongoDB Experiment-1 (Create Database; Create Collection & Insert Record)
  3. MongoDB: Creating Database on MongoDB Atlas (on MongoDB Official site) Website
  4. Sharding in MongoDB
  5. Sharding of data in MongoDB by creating multiple nodes on the same machine using Docker.
  6. Installing GUI Compass for MongoDB
  7. MongoDB: Word count program using aggregate function

 
  1. https://youtu.be/GBFvsorI4jw?si=z6Jxgyaa3d9Yzk9R
  2. https://youtu.be/CtfCEBqcct0?si=p7GFCa_yZknPLMZV
  3. https://youtu.be/rfvIJoOqNec?si=63EL_eBBkZL_IU_z
  4. https://youtu.be/Tu3npPNfUWI?si=uws5KcYKPgoVlLNT
  5. https://youtu.be/TGWVTIAGa8s?si=FLqwH6_LiCVCSYTz
  6. https://youtu.be/7sdAQ0Q0aTI?si=DzxhedAvcTrmlTvf
  7. https://youtu.be/TtjezZcE8Uc?si=u-OiuvBsGUGqRsVg

23.

HIVE

  1. HIVE experiment (Transferring JSON file to Hadoop framework)
  2. HIVE installation on Windows
  3. Creating table in HIVE and uploading data in it
  4. HIVE (Creating views & indexes in a HIVE table; use partitioning for sorting in HIVE tables)
  5. HIVE installation on Ubuntu so as it could work with Hadoop
  6. To understand working of HUE for HIVE experiments; the video has no voice
  1. https://youtu.be/LEq_JQi82bs?si=SFaBKGPSAfMLZM4_
  2. https://youtu.be/BV1FgKYjc8E?si=x8_MB1F25erS5vk8
  3. https://youtu.be/lEPh4hUNbKM?si=5Qg-nAa2TzqoMNPp
  4. https://youtu.be/AM_izSzDwh4?si=UmuIm47BCWprGEmh
  5. https://youtu.be/uH7CUb1te-4?si=GK7zVt40LIfY671M
  6. https://youtu.be/qgopaMGNvTw?si=hjpfTg-cEFPeGX9f

24.

Spark Experiments
  1. Spark installation on Windows 10
  2. Word Counting in Spark
  3. Average marks calculation in spark
  4. Matrix multiplication in Spark
  5. K-mean clustering experiment in Spark
  6. To compute average using map-reduce is wrong; the operator should be distributive and associative
  7. To run several Spark statements using a file instead of one by one in command mode

 
  1. https://youtu.be/a_xgNkfOuTY?si=Z0SrorTUx4_u6x6Y
  2. https://youtu.be/vvnhcILb11A?si=Nco76zemZg1f-zmO
  3. https://youtu.be/bNY3zklqddE?si=HSma4wJbIpEqJBUf
  4. https://youtu.be/zvjkVl4M3ck?si=3ciiTsqBpAOiHwnJ
  5. https://youtu.be/vMA-ab2EGfI?si=FDKgJe6n6Z6U2UH7
  6. https://youtu.be/CupflVTA3BI?si=KP6aNNj1QHXytDk5
  7. https://youtu.be/Xvzre13Ilac?si=6_G4HYvtHSzQx8SX

25.

WEKA Experiments
  1. WEKA Introduction
  2. Finding association rules using WEKA.
  3. Classification using WEKA
  4. Clustering using WEKA

 
  1. https://youtu.be/jbRJzizY67A?si=ouFd86NslDhjb7OL
  2. https://youtu.be/VEmllUZCAgw?si=CRRSkL0ExXKSEc-F
  3. https://youtu.be/r75qx4Q2P4U?si=vrsUUFfFGnpSi3E7
  4. https://youtu.be/F_2sDfTWatk?si=Yyo4ZFoEPB58ynn5

26.

Hadoop Experiments
  1. Word count using map-reduce on Hadoop.
  2. Computing average using MapReduce on Hadoop
  3. Matrix multiplication using map-reduce on Hadoop
  4. Hadoop Installation on Linux
  5. Installing Hadoop on Windows
  6. Installing Hadoop on Mac OS
  7. To compute average using map-reduce is wrong; the operator should be distributive and associative
  8. Hadoop 3.3.0 Installation

 
  1. https://youtu.be/p9iU-ajGKLI?si=HUxwkUJbS7XCmPuc
  2. https://youtu.be/pUBxrAmvNpk?si=fT-4XliDKNBTCwiN
  3. https://youtu.be/Mr3Wp_Z14Ik?si=pNwMHVGKGlSsIKSz
  4. https://youtu.be/6oBl6_Kdavo?si=6mFtN4QUPkJvdMP8
  5. https://youtu.be/qPHA2aukMYU?si=JSW_QmuxTEtr058-
  6. https://youtu.be/_Pnf9Q10c6s?si=thpcg0lBE3-euCpe
  7. https://youtu.be/CupflVTA3BI?si=MZRAkOz9FG1jEIrB
  8. https://youtu.be/lv520LJFW8Q?si=-1OQZWmUHgV6JBgy

27.

Big Data Analytics (Running lab class)
  1. Running lab class video on Hadoop and Spark lab manual experiments
  2. Running Lab Class on WEKA (Lab manual experiments) presented by Harshkirat Singh on 2021-03-02
  3. Running lab class video of Hadoop installation on Window 10 presented by Sahil Sharma on 2021-03-17
  4. Running lab class video (Using Hive with Spark and HUE) April 13, 2021
  1. https://youtu.be/cvctb8Ykxx8?si=URwpvkJdn9zLc_4x
  2. https://youtu.be/5ntO0H8OP-k?si=Sdvk7smvy7UzTNog
  3. https://youtu.be/8NeQcgYkaQ8?si=CFv5269GBd50MnR1
  4. https://youtu.be/nRzqZtXk3NE?si=2yMyPUrn90o6RZMy