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Articles by Prateek Majumder
Everything a Product Analyst Should Know!
Prateek Majumder — Published On December 21, 2022 and Last Modified On December 21st, 2022 Beginner Business Analytics Business Intelligence Data Analysis This article was published as a part of the Data Science Blogathon. Introduction Software Products can be very complex to manage and, at the same time, must be relevant to the customers. An essential part of that process is understanding how the customers use the product.
Top Customer Analytics Interview Questions
Prateek Majumder — Published On December 1, 2022 and Last Modified On December 1st, 2022 Beginner Business Analytics Data Visualization Intermediate Interview Questions This article was published as a part of the Data Science Blogathon. Introduction Data and Information about a Customer important for all businesses and companies. For a business to be data-driven, a Company needs to be highly data-driven and focus highly on customer analytics. Information about customers can be collect.
Why Web 3 should be Green and Sustainable?
Artificial Intelligence Intermediate IOT Web 3.0 This article was published as a part of the Data Science Blogathon. Introduction Web3 is being heralded as the internet’s future. This new blockchain-based web’s vision includes cryptocurrencies, NFTs, DAOs, decentralized finance, and other features. It provides a read/write/own version of the web to which users have a monetary stake in and greater control over the web communities to which they belong.
Top Data Lakes Interview Questions
Big data Data Engineering Intermediate Interview Questions Machine Learning This article was published as a part of the Data Science Blogathon. Introduction A data lake is a centralized repository for storing, processing, and securing massive amounts of structured, semi-structured, and unstructured data. It can store data in its native format and process any type of data, regardless of size.
Cryptography: How is it Related to Blockchain?
Prateek Majumder — Published On October 1, 2022 and Last Modified On October 1st, 2022 This article was published as a part of the Data Science Blogathon. contracts, and so on. From a commercial standpoint, we can think about blockchain technology as a new breed of business process improvement software. Blockchain and other collaborative technologies promise to significantly reduce the “cost of trust” by enhancing the commercial activities that take place between firms. But this needs to be secure.
Top Blockchain Interview Questions
Beginner Blockchain Interview Questions Interviews This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that preserves a record of digital asset ownership. It is a means to save data and information in a secure digital format. They are well known for their critical function in cryptocurrency systems like Bitcoin, where they keep a secure and decentralized record of transactions.
Principal Component Analysis Interview Questions
Beginner Interview Questions Machine Learning Maths This article was published as a part of the Data Science Blogathon. Introduction Principal Component Analysis, or PCA, is a dimensionality-reduction method frequently used to reduce the dimensionality of big data sets by reducing a large collection of variables into a smaller set that retains the majority of the information in the large set.
Top 20 Apache Oozie Interview Questions
This article was published as a part of the Data Science Blogathon. Introduction Apache Oozie is a Hadoop workflow scheduler. It is a system that manages the workflow of dependent tasks. Users can design Directed Acyclic Graphs of workflows that can be run in parallel and sequentially in Hadoop. Image: https://oozie.apache.org/ Apache Oozie is an important topic in Data Engineering, so we shall discuss some Apache Oozie interview questions and answers.
Apache Sqoop: Features, Architecture and Operations
Beginner Big data Data Engineering Hadoop This article was published as a part of the Data Science Blogathon. Introduction Apache SQOOP is a tool designed to aid in the large-scale export and import of data into HDFS from structured data repositories. Relational databases, enterprise data warehouses, and NoSQL systems are all examples of data storage. It is a data migration tool based on a connector architecture that includes plugins for improved data connections to new external systems.
A Detailed Introduction on Data Lakes and Delta Lakes
Big data Data Engineering Intermediate Machine Learning This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine learning to help you make better decisions without first structuring your data.
Top 10 MetaVerse Uses Cases and Applications
Beginner Cloud Computing Data Engineering This article was published as a part of the Data Science Blogathon. Introduction A platform for augmented reality called Metaverse enables users to build interactive experiences that combine the virtual and real worlds. Additionally, it can be considered a virtual version of the concept or idea of cyberspace. Because of the technology used to access it, this virtual 3D world is immersive, interactive, and collaborative.
How is Web3.0 Related to the Metaverse?
This article was published as a part of the Data Science Blogathon. Introduction Decentralized protocols, such as blockchain, the technology behind bitcoin transactions, will be employed in the web 3.0 revolution. It aims to overcome some of the primary drawbacks and flaws of the present internet era by tackling the crucial concerns of data ownership and control. The idea behind Web 3.0 is to bring the internet into the future.
Web 3.0- Privacy, Ethics and Other Moral Aspects
This article was published as a part of the Data Science Blogathon. Introduction The third generation of the internet, the semantic web, and the decentralized internet all refer to the same thing. Web 3.0 links data or objects with highly organized semantic relationships instead of linking information or publications for people and computers to read as it now does. We must explain how it varies from where we are currently by going back in time.
Understanding Distributed Ledger Technology
Beginner Blockchain Technology This article was published as a part of the Data Science Blogathon. Introduction A ledger is an accounting record that lists debits and credits for the categorized and condensed data from the journals. Another name for it is the second book of entries. The information needed to create financial statements is included in the ledger. It accounts for the owner’s equity, owners’ liabilities, income, and costs.
Know All About Smart Contracts!
Beginner Blockchain Web 3.0 This article was published as a part of the Data Science Blogathon. Introduction A decentralised programme that runs business logic in response to events is called a smart contract. Executing a smart contract may lead to a currency exchange, the provision of services, the decryption of content subject to digital rights management, or other data modification, such as renaming a land title.
How is Web 3.0 Shaping the Future of Finance?
Beginner Blockchain Cryptocurrency Research & Technology Web 3.0 This article was published as a part of the Data Science Blogathon. Introduction Today’s Internet is not perfect. We don’t have a native value settlement layer, nor do we have control over our data. Our data architectures are still founded on the idea of stand-alone computers, where data is centrally stored and maintained on a server and delivered or retrieved by a client, thirty years after the widespread use of the Internet.
A Comprehensive Overview Non-Fungible Tokens (NFT)
Beginner Cryptocurrency Technology This article was published as a part of the Data Science Blogathon. Introduction You have surely come across images this on the Internet and have read that they are quite valuable! Source: https://www.ledgerinsights.com/adidas-joins-the-nft-world-partnering-with-bored-ape-the-sandbox-coinbase/ But, why? Why are they so valuable and what is so special about them? Well, this is because they are NFTs. So, now let us understand what are NFTs?
20 SQL Coding Interview Questions
Intermediate Interviews SQL This article was published as a part of the Data Science Blogathon. Introduction SQL stands for Structured Query Language. It’s a programming language to interact/query and manage RDBMS (Relational Database Management Systems). SQL skills are highly preferred and required as it’s used by many organizations in a large variety of software applications.
Custom Named Entity Recognition using spaCy v3
This article was published as a part of the Data Science Blogathon. Introduction to Named Entity Recognition A named entity is a ‘real-world object’ that is assigned a name, for example, person, organization, or location. For more details, check my previous article on fine tune Bert for NER.
Top 10 Web 3.0 Technologies that will Shape our Future World
This article was published as a part of the Data Science Blogathon. Introduction The internet has come a long way since Web 1.0. Hypertext Markup Language (HTML) defines the layout and delivery of websites in Web 1.0 and Web 2.0 technologies. With Web 3.0, HTML will remain a core layer, but how it connects to data sources and where those data sources are stored may change from previous generations of the web.
What is Web 3.0? Journey from Web 1.0 to Web 3.0
This article was published as a part of the Data Science Blogathon. Introduction Web 3 – sometimes known as “Web 3” or “Web 3.0′′ – is a word you’ve probably heard a lot recently. It simply refers to the internet’s next version, which encourages decentralised protocols and tries to lessen reliance on giant digital corporations like Youtube, Netflix, Google, and Amazon.
Apache Pig: High-Level Data Flow Platform
This article was published as a part of the Data Science Blogathon. Introduction Apache Pig is a high-level programming language that may be used to analyse massive amounts of data. The pig was developed as a consequence of Yahoo’s Development efforts. Programs must be converted into a succession of Map and Reduce stages in a MapReduce architecture, and data analysts are not conversant with this programming approach. So, on top of Hadoop, an abstraction named Pig was constructed to bridge the gap.
Apache Flume: Data Collection, Aggregation & Transporting Tool
This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collanguage. It features its query processing engine, allowing it to alter each fresh batch of data before sending it to its designated sink. It is designed to be flexible. The design ofbuilt on streaming daws, which makes it very simple and easy to use.
Apache Oozie: Scheduler System to Manage & Perform Hadoop Jobs
This article was published as a part of the Data Science Blogathon. Introduction on Apache Oozie Apache Oozie is a tool that allows us to run any application or job in any sequence within Hadoop’s distributed environment. We may schedule the job to run at a specified time with Oozie. What is Apache Oozie? Apache Oozie is a Hadoop job scheduler that allows you to launch and manage processes in a distributed environment.
Apache Cassandra: High-Performance Distributed NO-SQL Database
This article was published as a part of the Data Science Blogathon. Introduction on Apache Cassandra Apache Cassandra is a scalable database intended to manage massive volumes of data over many commodity computers while maintaining high availability and avoiding a unique failure point. It has high performance, and it is a NO-SQL database. Before understanding Apache Cassandra, let us first understand what a No-SQL database is. Databases are divided into two types: SQL Databases and No-SQL Databases.
This article was published as a part of the Data Science Blogathon. Introduction Amazon’s Redshift Database is a cloud-based large data warehousing solution. Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system. The datasets range in size from a few 100 megabytes to a petabyte.
An Overview of HDFS: NameNodes and DataNodes
This article was published as a part of the Data Science Blogathon. Data size soon outgrows a machine’s storage limit as data velocity increases. Data might be stored over a network of machines as a solution. Distributed file systems are the name for these types of filesystems. Data is stored over a network, introducing all of the network’s problems. This is where Hadoop enters the picture. It has one of the most stable file systems available.
Principal Component Analysis & its Implementions
This article was published as a part of the Data Science Blogathon. In Machine Learning problems, teams deal with a lot of data. Not all data is useful and can be utilized. Usually, some data has to be left out of the training process so that only the most relevant data and features are used. This is important so that only the most critical case features are used in the Machine Learning model. Let us look at using the most valuable features in the data.
Predicting Possible Loan Default Using Machine Learning
This article was published as a part of the Data Science Blogathon. Introduction A loan default occurs when a borrower takes money from a bank and does not repay the loan. People often default on loans due to various reasons. Borrowers who default on loans not only damage their credit but also risk being sued and having their wages garnished.
This article was published as a part of the Data Science Blogathon. Today’s world is driven by data. Data has the potential to unlock the success of every industry, from releasing ideas to enhancing decision-making processes. Data has profoundly changed the world as we know it, to the point that it’s impossible to function without the insights gained from data in every discipline. In India, data science has proven to be a lucrative career.
An Overview of Data Collection: Data Sources and Data Mining
This article was published as a part of the Data Science Blogathon. Introduction A data source can be the original site where data is created or where physical information is first digitized. Still, even the most polished data can be used as a source if it is accessed and used by another process. A data source can be a database, a flat file, real-time measurements from physical equipment, scraped online data, or any of the numerous static and streaming data providers available on the internet.
The Carbon Footprint of AI and Deep Learning
This article was published as a part of the Data Science Blogathon. There are immense computational costs of Deep Learning and AI. Artificial intelligence algorithms, which power some of technology’s most cutting-edge applications, such as producing logical stretches of text or creating visuals from descriptions, may need massive amounts of computational power to train.
Learn Mobile Price Prediction Through Four Classification Algorithms
This article was published as a part of the Data Science Blogathon. Introduction Mobile phones come in all sorts of prices, features, specifications and all. Price estimation and prediction is an important part of consumer strategy. Deciding on the correct price of a product is very important for the market success of a product. A new product that has to be launched, must have the correct price so that consumers find it appropriate to buy the product.
Top 10 AI and Data Science Trends in 2022
This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better.
What is Data Journalism all about?
This article was published as a part of the Data Science Blogathon. Introduction Data journalism is a type of journalism in which reporters create stories using massive datasets. This reflects the growing importance of numerical data in the production and dissemination of information, as well as the growing connection between journalists and professions like design, computer science, and statistics.
What do Banks do with data? Case Study: Predicting the salary of a Bank Customer using Financial Data
This article was published as a part of the Data Science Blogathon and Bandata. Nowadays, customers do a lot of online transactions, make purchases with their card, others use the Bank’s mobile app, website, and so on. Banks have a lot of data about their customers. The data which banks hold includes their account balance, salary amounts, incomes, and so on. Customer data plays a big role in the banking and financial services industry.
Image Operations in Python with OpenCV: Eroding, Dilation, and more!
This article was published as a part of the Data Science Blogathon. Introduction As we all know, OpenCV is a free open source library used for computer vision and image operations. OpenCV is written in C++ and has thousands of optimized algorithms and functions for various image operations. A lot of real-life operations can be solved using OpenCV. These are video and image analysis, real-time computer vision, object detection, footage analysis, etc.
What is Customer Analytics and Why is it important?
This article was published as a part of the Data Science Blogathon The number of customers widely vary. It might be in hundreds for a local grocery store, and it may be in millions for a national bank or an insurance company. Companies like Google and Facebook have users in the numbers of Billions. Knowing about these customers is important for any company.
Bank Note Authentication using Keras Sequential Model
This article was published as a part of the Data Science Blogathon. Artificial Neural Networks can be used to solve a wide variety of problems. Keras is an open-source library that can be used to implement artificial neural networks in Keras. Keras has all the major features required to build and train artificial neural networks. We shall be using Keras Sequential Model to authenticate banknotes. The dataset is taken from UCI Machine Learning.
Sentiment Analysis with Web Scraped News Article
This article was published as a part of the Data Science Blogathon. The internet contains vast amounts of information. Often, we need to access information fast and quickly. So for that, we need to use web scraping. What is Web Scraping? Web Scraping deals with collecting web data and information in an automated manner. Basically, it is the extraction of web data. Web Scraping deals with information retrieval, newsgathering, web monitoring, competitive marketing and more.
Exploratory Data Analysis of the Human Space Race
This article was published as a part of the Data Science Blogathon. Humankind has always looked up to the stars. Since the dawn of civilization, we have mapped constellations, named planets after Gods and so on. We have seen signs and visions in celestial bodies. In the previous century, we finally had the technology to go beyond the atmosphere and venture into space. The first human to venture into space was Soviet Cosmonaut, Yuri Gagarin. He went into space on 12 April 1961.
Understanding Indian Cuisine: A data-driven study
Indians love to eat, and the variety of food ensures that each part of India will surprise you with a new dish. The diversity in soil, climate, rainfall patterns, farming methods, ethnic groups, culture, occupation, etc of people across the country makes the cuisine very widespread and vast. People use a wide variety of vegetables, dairy products, spices, herbs, etc to cook their food. Image 1 Overview of Indian Cuisine The iconic biryani is also cooked in different ways across the nation.
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