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 complexity➋ 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 →
How do you handle 50GB Dataset in spark
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, 25 data engineering concepts
👇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 →
Cloud Operations Architecture Interview Questions
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 →
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-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 →
How to connect trino database with azure datalake to generate parquet file from trino?
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 →
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 →
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 →