Rishabh AgrawalinDS/AIwithRishabhParallel Processing and Big Data ScalingWhen we talk about Big Data, we are referring to a massive amount of data that is too large to fit on a single computer. So, how do we…Sep 16Sep 16
AyeshamariyamBusiness Intelligence with Current Business SystemIntegrating business intelligence (BI) with existing business systems is a crucial step in enabling organizations to gain insights and make…Sep 16Sep 16
Karthick RajaExplain the concept of data partitioning in Big Data storage.Data partitioning in Big Data storage refers to the technique of dividing large datasets into smaller, more manageable chunks called…Sep 16Sep 16
Siladitya GhoshBuilding a Scalable Storage and Access Platform for Ever-Growing DataIn today’s digital age, data is growing at an unprecedented rate. The challenge of storing, managing, and accessing this ever-growing data…Sep 15Sep 15
Ahmed MissaouiAdvantages of Using Hive Metastore with Object Storage Over HDFS for Analytics with SparkIn the world of big data analytics, the architecture and storage solutions you choose can significantly impact performance, scalability…Sep 9Sep 9
Chetna DawdaRhombus AI Revolutionises Data CleansingUnlocking the Power of Clean Data: Streamline Your Workflow and Maximise Efficiency with Rhombus AISep 3Sep 3
Spiral MantraHow Big Data Analytics Leverage Business GrowthThe fostering growth of businesses has led to the emergence of big data analytics, which are used by enterprises for business intelligence…Sep 3Sep 3
Karthick RajaDescribe some techniques for feature engineering in Big Data.Feature engineering in the context of Big Data involves creating new features or modifying existing ones to improve the performance of…Aug 28Aug 28
Parin PatelUnderstanding Windowing Functions in Apache FlinkMaster Apache Flink Windowing: Learn Tumbling, Sliding, Session, & Global Windows with Code Examples for Real-Time Stream Processing.Aug 22Aug 22