Sharath Kumar Thungathurthisharaththungathurthi.hashnode.dev·Dec 18, 2024AWS LambdaHere are some commonly asked questions and answers related to AWS Lambda: 1. What is AWS Lambda? Answer:AWS Lambda is a serverless computing service that lets you run your code without managing any servers. You only pay for the time your code runs. L...AWS
Sharath Kumar Thungathurthisharaththungathurthi.hashnode.dev·Dec 18, 2024Aws GlueHere are some common AWS Glue questions and answers that can help you understand the service better: 1. What is AWS Glue? Answer: AWS Glue is a fully managed ETL (Extract, Transform, Load) service that allows you to prepare and load data for analytic...2Articles1Week
Muhammad Talhadata-driven-traffic-management.hashnode.dev·Dec 13, 2024Data Driven Traffic Prediction and Smart SignalingAbstract In an era where urbanization is rapidly increasing, managing traffic efficiently has become a critical challenge for city planners and transportation authorities. This project aims to harness the power of data analytics and machine learning ...Data Science
Varas Vishwanadhulasparkcache.hashnode.dev·Dec 12, 2024Unlocking the Power of Bucketing in Spark: Optimize Your Data ProcessingBucketing is a process of shuffling and sorting the data and storing it in physical location. Based on the above statement we can say that the bucketing can be used when we need the data to be shuffled and sorted. The most general case where the data...spark
Varas Vishwanadhulasparkcache.hashnode.dev·Nov 27, 2024Maximizing Spark Performance: When, Where, and How to Use Caching TechniquesCaching is a technique of storing intermediate results in memory or disk. Computing the whole data again is not needed if we are using it again in further data processing. In SPARK we do cache the DataFrame so we can use the result in next tranforma...#persist
Nerella Rajashekarrajashekar-582.hashnode.dev·Nov 26, 20248 Essential SQL Optimization Techniques for Efficient QueryingOptimizing SQL queries is essential for improving database performance, especially when working with large datasets. Below, we explore eight proven techniques to help you write faster and more efficient SQL queries: 1. Use MAX Instead of RANK Instea...1 like·37 readsData Science
Piotr Czarnasdqops.hashnode.dev·Nov 23, 2024Data Architecture for Data QualityThe purpose of data quality validation Data quality validation is the process of ensuring that data is accurate, complete, and suitable for its intended use. Just as a baker checks the freshness and quantity of ingredients before baking a cake, busin...data-quality
Sharath Kumar Thungathurthisharaththungathurthi.hashnode.dev·Nov 14, 2024Managed vs External TablesIn an interview, questions about managed vs. external tables in PySpark are likely to focus on concepts, practical applications, and potential scenarios where one is preferable over the other. Here are some areas to prepare for: 1. Definition and Dif...PySpark
KAPUPA HAAMBAYIdatasmithery.hashnode.dev·Nov 5, 2024Proactive Manufacturing with Data VisualisationAs a data engineer, I see data visualisation not as a stand-alone solution but as a vital part of data engineering, where raw data is transformed into actionable insights. This is especially true in manufacturing, where efficiency, speed, and accurac...#manufacturing
Alex Mercedalexmerced.hashnode.dev·Oct 31, 2024Hands-on with Apache Iceberg & Dremio on Your Laptop within 10 MinutesFree Copy of Apache Iceberg the Definitive Guide Free Apache Iceberg Crash Course Iceberg Lakehouse Engineering Video Playlist Efficiently managing and analyzing data is essential for business success, and the data lakehouse architecture is leading ...dataengineering
