Databricks Interview Series

Below is a detailed response to your questions about Unity Catalog in Databricks, organized by the sections you provided. Each answer includes explanations, examples, and practical insights where applicable, aiming to provide a comprehensive understanding suitable for both foundational and advanced scenarios.---### Basic Understanding#### 1. What is Unity Catalog in Databricks?Unity Catalog is a unified... Continue Reading →

Azure devops intermediate level questions

Below is a curated list of intermediate-level Azure DevOps questions that focus on practical knowledge, technical understanding, and scenario-based problem-solving. These questions are designed to assess a candidate’s ability to implement and manage Azure DevOps tools and processes effectively, suitable for professionals with some experience in DevOps practices. Each question includes a brief explanation or... Continue Reading →

Big Data Engineering Interview series – 2

**Big Data Interview Questions - Detailed Answers**Below are detailed answers to the questions from the interview discussion, focusing on Cloud Data Engineering, Azure, Spark, SQL, and Python. Each answer is comprehensive, addressing the concepts, their applications, and practical considerations, without timestamps.---1. **Project Discussion**     In a Cloud Data Engineering interview, the project discussion requires explaining... Continue Reading →

Big Data Engineering Interview series-1

**Top Big Data Interview Questions (2024) - Detailed Answers**1. **What is Hadoop and how does it work?**     Hadoop is an open-source framework designed for distributed storage and processing of large datasets across clusters of computers. It consists of two main components: Hadoop Distributed File System (HDFS) for fault-tolerant storage, which splits data into blocks... Continue Reading →

Perfect ETL Pipeline on Azure Cloud

ETL Pipeline Implementation on AzureThis document outlines the creation of an end-to-end ETL pipeline on Microsoft Azure, utilizing Azure Data Factory for orchestration, Azure Databricks for transformation, Azure Data Lake Storage Gen2 for storage, Azure Synapse Analytics for data warehousing, and Power BI for visualization. The pipeline is designed to be scalable, secure, and efficient,... Continue Reading →

An azure pipeline usually run for 2 hrs but currently it is running for 10 hours. Find the bottleneck in pipeline.

To identify the bottleneck in an Azure Pipeline that’s running for 10 hours instead of the usual 2 hours, you need to systematically analyze the pipeline’s execution. Here’s a step-by-step approach to pinpoint the issue:### 1. **Check Pipeline Logs and Execution Details**   - **Action**: Navigate to the Azure DevOps portal, open the pipeline run, and... Continue Reading →

How to find the bottleneck in azure data factory pipeline having databricks notebook too. It has multiple types of sources. What are the steps to follow?

To identify bottlenecks in an Azure Data Factory (ADF) pipeline that includes Databricks notebooks and multiple types of sources, you need to systematically monitor, analyze, and optimize the pipeline's components. Bottlenecks can arise from data ingestion, transformation logic, Databricks cluster performance, or pipeline orchestration. Below are the steps to diagnose and address bottlenecks, tailored to... Continue Reading →

Exam DP-203: Data Engineering on Microsoft Azure Certification Study Blueprint

Theoretical Knowledge Azure documentation Data Lake Storage Gen 2 docs Storage account docs Azure Synapse docs Azure Data Factory docs Azure SQL Database docs Cosmos DB docs Azure Databricks docs Slowly changing dimensions Azure Synapse: Copy and Transform Data Azure Databricks: ETL with Scala Microsoft Learn SCD tutorial Raspberry Pi IoT Online Simulator Transact-SQL Language... Continue Reading →

Azure Data Engineer Journey Learning links

Start your Azure journey here.....1. Azure Data Factory.https://lnkd.in/gEmpbyrMProject: https://lnkd.in/gFG2aCgy2. Azure Data bricks.https://lnkd.in/gvFwKxaNproject: https://lnkd.in/gFG2aCgy3. Azure Stream Analytics.https://lnkd.in/g35VbSTv4. Azure Synapse Analytics.https://lnkd.in/gCufskNC5. Azure Data Lake Storage.https://lnkd.in/gcEKjWsc6. Azure SQL database.https://lnkd.in/gmHxqxQX7. Azure Postgres SQL database.https://lnkd.in/grHWJvWZ8. Azure MariaDB.https://lnkd.in/gYSp7MZi9. Azure Cosmos DB.https://lnkd.in/g6jPZA36This is an excellent guide to become azure data engineer. No need to become expert. but learn how to work with... Continue Reading →

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