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Tag: json

  • Most Important Cloud Developer Tools in Azure

    Microsoft Azure offers a comprehensive suite of tools for cloud developers to build, deploy, and manage applications. Identifying the most essential ones can significantly enhance your development workflow and productivity. This article highlights key Azure tools that every cloud developer should be familiar with. 1. Azure CLI Description: The Azure CLI is a command-line tool… Read more

  • Most Important Cloud Developer Tools in AWS

    Amazon Web Services (AWS) offers a vast array of tools for cloud developers. Identifying the most important ones can streamline your workflow and boost productivity. This article highlights key AWS tools that every cloud developer should be familiar with. 1. AWS Command Line Interface (CLI) Description: The AWS CLI is a unified tool to manage… Read more

  • Top 30 Kafka Interview Questions

    Preparing for a Kafka interview? This comprehensive list of 30 key questions covers various aspects of the distributed streaming platform, designed to help you demonstrate your understanding and expertise. 1. What is Apache Kafka? Answer: Apache Kafka is a distributed streaming platform. It is used for building real-time data pipelines and streaming applications. It provides… Read more

  • Top 30 AWS Cloud Interview Questions

    Preparing for an AWS Cloud interview? This comprehensive list of 30 key questions covers a wide range of AWS services and concepts, designed to help you demonstrate your understanding and expertise. 1. What is AWS? Answer: AWS (Amazon Web Services) is a comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from… Read more

  • Databricks Data Ingestion Samples

    Let’s explore some common Databricks data ingestion scenarios with code samples in PySpark (which is the primary language for data manipulation in Databricks notebooks). Before You Begin Set up your environment: Ensure you have a Databricks workspace and have attached a notebook to a running cluster. Configure access: Depending on the data source, you might… Read more

  • Databricks High level Concepts

    Databricks High-Level Concepts: A Detailed Overview Databricks High-Level Concepts: A Detailed Overview Databricks is a unified analytics platform built on top of Apache Spark, designed to simplify big data processing and machine learning. It provides a collaborative environment for data scientists, data engineers, and business analysts. Here’s a detailed overview of its key high-level concepts:… Read more

  • Building an AI Chatbot for Order Status with React.js, Rasa, and Flask

    This article details the development of an AI Chatbot that enables users to inquire about the status of their orders. The implementation utilizes a modern frontend built with React.js, a robust Natural Language Understanding (NLU) and dialogue management framework powered by Rasa, and a simple backend using Python (Flask) to serve order information. I. Core… Read more

  • Autonomous Scientific Research Assistant using Agentic AI

    Let’s explore another agentic AI use case, this time focusing on a different domain: Autonomous Scientific Research Assistant. Use Case: A research laboratory wants to accelerate the pace of scientific discovery by automating certain aspects of the research process. Instead of researchers spending significant time on literature reviews, hypothesis generation, experimental design, and data analysis,… Read more

  • Sample Project demonstrating moving Data from Kafka into Tableau

    Here we demonstrate connection from Tableau to Kafka using a most practical approach using a database as a sink via Kafka Connect and then connecting Tableau to that database. Here’s a breakdown with conceptual configuration and Python code snippets: Scenario: We’ll stream JSON data from a Kafka topic (user_activity) into a PostgreSQL database table (user_activity_table)… Read more

  • Building a Personalized Banking Chat Agent with React.js, RAG, LLM, and Redis with sample code

    Here we outline a more detailed structure with conceptual sample code snippets for each layer of a conceptual personalized bank FAQ chat agent. Keep in mind that this is a simplified illustration, and a production-ready system would involve more robust error handling, security measures, and integration logic. I. Knowledge Base Preparation: Step 1: Data Collection… Read more