Bhavesh, Author at Projects Based Learning

Running Apache Zeppelin on Docker Desktop (Windows OS)

Bigdata HadoopApache Spark, Apache Zeppelin, Zeppelin

Apache Zeppelin is an open-source web-based notebook that enables interactive data analytics. It supports multiple languages like Scala, Python, SQL, and more, making it an excellent choice for data engineers, analysts, and scientists working with big data frameworks like Apache Spark, Flink, and Hadoop.Setting up Zeppelin on a Windows system can sometimes be tricky due to dependency and configuration issues. Fortunately, Docker Desktop makes the process simple, reproducible, and fast. In this blog, we’ll walk you through how to run Apache Zeppelin on Docker Desktop on a Windows OS, step-by-step.

PrerequisitesBefore you begin, make sure the following are installed on…

How to Run Apache Druid on Docker Desktop (Windows OS) – A Step-by-Step Guide

Bigdata HadoopApache Druid, Apache Hadoop, Apache Hive, Apache Kafka, Bigdata, Hadoop

Apache Druid is a real-time analytics database designed for fast slice-and-dice analytics on large datasets. Running Druid on Docker Desktop in Windows OS enables data engineers and analysts to spin up a full Druid cluster with minimal configuration. In this blog, we'll walk through how to get Apache Druid running locally using Docker.PrerequisitesBefore starting, ensure your system meets the following requirements:Windows 10/11 with WSL 2 enabledDocker Desktop installed and runningMinimum 8GB RAM (16GB recommended for better performance)Git Bash or PowerShell for command-line executionStep 1: Clone the Apache Druid GitHub RepositoryApache Druid provides a quickstart Docker Compose setup in its GitHub…

Running Hive on Windows Using Docker Desktop: Everything You Need to Know

Bigdata HadoopApache Hadoop, Apache Hive, Bigdata, Hadoop

Apache Hive is a powerful data warehouse infrastructure built on top of Apache Hadoop, providing SQL-like querying capabilities for big data processing. Running Hive on Docker simplifies the setup process and ensures a consistent environment across different systems. This guide will walk you through setting up Apache Hive on Docker Desktop on a Windows operating system.PrerequisitesBefore you start, ensure you have the following installed on your Windows system:Docker Desktop (with WSL 2 backend enabled)At least 8GB of RAM for smooth performanceStep 1: Pull the Required Docker ImagesPull the 4.0.1 image from Hive DockerHub (Latest April 2025)docker pull apache/hive:4.0.1This image comes…

Top 10 Apache Spark Commands Every Data Engineer Should Know

UncategorizedApache Spark

Apache Spark is a powerful open-source big data processing engine that enables distributed data processing with speed and scalability. As a data engineer, mastering key Spark commands is crucial for efficiently handling large datasets, performing transformations, and optimizing performance. In this blog, we will cover the top 10 Apache Spark commands every data engineer should know.1. Starting a SparkSessionA SparkSession is the entry point for working with Spark. It allows you to create DataFrames and interact with Spark’s various components.Command:from pyspark.sql import SparkSessionspark = SparkSession.builder.appName("MySparkApp").getOrCreate()Explanation:appName("MySparkApp"): Sets the name of the Spark application.getOrCreate(): Creates a new session or retrieves an existing…

AI: Your New Coding Superpower – How AI Assistants are Reshaping the Coding Landscape

UncategorizedAI, Artificial intelligence, Machine Learning

The world of coding is undergoing a seismic shift, and at the heart of it lies artificial intelligence. AI-powered coding tools are no longer a futuristic fantasy; they're a present-day reality, fundamentally changing how we approach software development, from seasoned professionals to complete beginners. Let's delve into this exciting evolution and explore how AI is becoming an indispensable partner in the coding journey.Today's AI Coding Assistants: Your Intelligent CollaboratorsImagine having a coding buddy who can instantly understand your project goals and offer intelligent suggestions and code snippets. That's essentially what modern AI coding assistants are. These sophisticated tools, like GitHub…

Boost Your LinkedIn Presence: Tips to Get Noticed by Recruiters

UncategorizedLinkedIn

Beyond the Buzzwords: Sculpting a LinkedIn Profile That Actually Works We've all heard the advice: optimize your LinkedIn profile. Add keywords, get endorsements, and network like a caffeinated hummingbird. But let's be honest, how often does that translate into genuine opportunities? Today, let's ditch the generic advice and dive into crafting a LinkedIn profile that's not just a digital resume, but a powerful, dynamic representation of your professional brand.1. The "Why" Before the "What": Define Your NarrativeForget listing your responsibilities. Start with your "why." What drives you? What problems do you solve? What unique perspective do you bring? Your "About"…

What Is an AI Model? How AI Models Work & Are Built

UncategorizedAI, Artificial intelligence, Machine Learning

Artificial Intelligence (AI) has become an integral part of modern technology, powering applications in healthcare, finance, retail, and even autonomous systems. At the core of AI lies AI models, computational frameworks designed to process data, recognize patterns, and make intelligent decisions. But how do AI models actually work, and how are they built? Let's explore.Understanding AI ModelsAn AI model is a mathematical representation of a system that learns from data. It takes input data, processes it using complex algorithms, and produces meaningful output—whether it's classifying images, predicting stock prices, or generating human-like text responses.AI models rely on three fundamental components:Data…

Boost Your Apache Spark Productivity with ChatGPT: A Developer’s Guide

UncategorizedApache Hadoop, Apache Hive, Apache Spark, Bigdata, ChatGPT, Data Engineer

How ChatGPT Can Help Apache Spark Developers Apache Spark is one of the most powerful big data processing frameworks, widely used for large-scale data analytics, machine learning, and real-time stream processing. However, working with Spark often involves writing complex code, troubleshooting performance issues, and optimizing data pipelines. This is where ChatGPT can be a game-changer for Apache Spark developers.In this blog, we’ll explore how ChatGPT can assist Spark developers in coding, debugging, learning, and optimizing their workflows.1. Writing and Optimizing Spark CodeWriting efficient Spark code requires a good understanding of RDDs, DataFrames, and Spark SQL. ChatGPT can help developers by:Generating…

How to Use ChatGPT to Ace Your Data Engineer Interview

UncategorizedApache Hadoop, Apache Hive, Apache Spark, Bigdata, ChatGPT, Data Engineer

IntroductionPreparing for a Data Engineer interview can be overwhelming, given the vast range of topics—from SQL and Python to distributed computing and cloud platforms. But what if you had an AI-powered assistant to help you practice, explain concepts, and generate coding problems? Enter ChatGPT—your intelligent interview preparation partner.In this blog, we’ll explore how ChatGPT can assist you in mastering key data engineering concepts, practicing technical questions, and refining your problem-solving skills for your next interview.1. Understanding Data Engineering Fundamentals with ChatGPTBefore jumping into complex problems, it's crucial to have a strong foundation in data engineering concepts.How ChatGPT Helps:Explains key topics…

What Is Data Streaming?

UncategorizedApache Kafka, Apache Spark, Bigdata, Machine Learning

IntroductionIn today's fast-paced digital world, businesses and applications generate vast amounts of data every second. From financial transactions and social media updates to IoT sensor readings and online video streams, data is being produced continuously. Data streaming is the technology that enables real-time processing, analysis, and action on these continuous flows of data.In this blog, we will explore what data streaming is, how it works, its key benefits, and the most popular tools used for streaming data.Understanding Data StreamingDefinitionData streaming is the continuous transmission of data from various sources to a processing system in real time. Unlike traditional batch processing,…