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 →

Processing 10 TB of Data in Databricks!!

Interviewer: Let's assume you're processing 10 TB of data in Databricks. How would you configure the cluster to optimize performance?Candidate: To process 10 TB of data efficiently, I would recommend a cluster configuration with a large number of nodes and sufficient memory.First, I would estimate the number of partitions required to process the data in... Continue Reading →

Pyspark Intermediate Level questions and answers

### General PySpark Concepts1. **What is PySpark, and how does it differ from Apache Spark?**   - **Answer**: PySpark is the Python API for Apache SparBelow is a curated list of intermediate-level PySpark interview questions designed to assess a candidate’s understanding of PySpark’s core concepts, practical applications, and optimization techniques. These questions assume familiarity with Python,... 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 →

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