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 →

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 →

Data migration from DB2 to Azure Data Lake Storage

Below is an example PySpark script to load data from a DB2 table into an Azure Data Lake table. The script is optimized for handling high-volume data efficiently by leveraging Spark's distributed computing capabilities.Prerequisites:Spark Configuration: Ensure Spark is configured with the necessary dependencies:spark-sql-connector for Azure Data Lake Gen2. db2jcc driver for connecting to DB2.Azure Authentication:... 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 →

Low Level System design articles

These articles will save you 50+ hours of hopping to resources and wasting time. 1) Scalability: https://lnkd.in/gq4hW9qx 2) Horizontal vs Vertical Scaling: https://lnkd.in/g8qcwRCy 3) Latency vs Throughput: https://lnkd.in/gDAx6QQd 4) Load Balancing: https://lnkd.in/gefSiXEJ 5) Caching: https://lnkd.in/gAp-9udf 6) ACID Transactions: https://lnkd.in/g-sjsMwX 7) SQL vs NoSQL: https://lnkd.in/gwCe58TU 8) Database Indexes: https://lnkd.in/gE_q5m_g 9) Database Sharding: https://lnkd.in/gFdNxDrU 10) Content Delivery... Continue Reading →

Google Cloud Dataprep vs Google Cloud Data Fusion

Google Cloud Dataprep and Google Cloud Data Fusion are two different data integration services offered by Google Cloud.Here are some key differences between the two: Purpose:Google Cloud Dataprep is a visual data preparation service that allows users to clean, transform, and prepare data for analysis without writing code. Google Cloud Data Fusion, on the other... Continue Reading →

100 Latest Azure Interview Questions

BASIC AZURE INTERVIEW QUESTIONS AND ANSWERS 1. What is Azure and how does it work? Azure is a cloud computing platform managed by Microsoft. It offers services and tools for building, deploying, and managing applications and services in the cloud. The Azure services can be accessed through the internet. These include virtual machines, databases, storage,... Continue Reading →

Data Engineering with Cloud Resources link

learn here about data pipeline for FREE.....data pipeline consists of several stages that work together to ensure that data is processed efficiently and accurately. it involves....1. data ingestion2. data transformation3. data analysis4. data visualisation5. data storage📌 complete data pipeline diagram can be found here....https://lnkd.in/gdifVyHY📌 FREE guide to data pipeline in AWS, Azure cloud....https://lnkd.in/gtq_8rd9📌 learn more... Continue Reading →

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