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🚀 How We Process 10+ Million Records Daily Using Azure DatabricksMany people ask:"How do you handle 10 million+ records every day without performance issues?"Here's the approach we follow in our Data Engineering project.đź“Ą Data Sources• PostgreSQL• CSV Files• JSON Files• Real-time Events (Kafka)Instead of loading everything at once, we use incremental processing.Bronze Layerâś” Ingest raw... Continue Reading →
You don't need to learn Python more than this for a Data Engineering role➊ List Comprehensions and Dict Comprehensions↳ Optimize iteration with one-liners↳ Fast filtering and transformations↳ O(n) time complexityâž‹ Lambda Functions↳ Anonymous functions for concise operations↳ Used in map(), filter(), and sort()↳ Key for functional programming➌ Functional Programming (map, filter, reduce)↳ Apply transformations efficiently↳... Continue Reading →
what are ...Total numbers of cores and partitions?Total numbers of executors?Total memory required?Let's walk through how to estimate the resources needed when processing a 50GB dataset in Apache Spark, the default partition size of 128MB.Convert Data to MBSince Spark works with partition sizes in MB by default:50 GB *1024 = 51,200 MBSpark creates one task... Continue Reading →
👇25 blogs to guide you through every important concept 👇1. Data Lake vs Data Warehouse→ https://lnkd.in/gEpmTyMS2. Delta Lake Architecture→ https://lnkd.in/gk5x5uqR3. Medallion Architecture→ https://lnkd.in/gmyMpVpT4. ETL vs ELT→ https://lnkd.in/gvg3hgqe5. Apache Airflow Basics→ https://lnkd.in/gGwkvCXd6. DAG Design Patterns→ https://lnkd.in/gHTKQWyR7. dbt Core Explained→ https://lnkd.in/g5mQi8-y8. Incremental Models in dbt→ https://lnkd.in/gS25HCez9. Spark Transformations vs Actions→ https://lnkd.in/g2RRCGMW10. Partitioning in Spark→ https://lnkd.in/g5fXjSJD11. Window Functions... Continue Reading →
Provide detailed answers with scenario for below questionsCloud Operations Architecture Interview Questions:1. How would you implement Infrastructure as Code (IaC) in a cloud environment?Scenario: Using Terraform to manage AWS resources, enabling version control and reusable configurations.2. Describe your approach to cost optimization in cloud solutions.Scenario: Using AWS Cost Explorer to identify underutilized resources and implement... Continue Reading →
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 →
**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 →
To connect Trino with Azure Data Lake Storage (ADLS) Gen2 and generate Parquet files from Trino queries, you need to configure Trino to access ADLS Gen2 using the Hive or Delta Lake connector, set up authentication, and use SQL statements to write query results as Parquet files. Below is a step-by-step guide based on the... Continue Reading →
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 →
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 →
