👇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 →
Hadoop vs. Spark
Comparison table between Hadoop and Spark: FeatureHadoopSparkCore ComponentsHDFS (Hadoop Distributed File System): A distributed storage system for storing large datasets.MapReduce: A computational model for parallel data processing, operating in a series of map and reduce steps.RDD (Resilient Distributed Datasets): A fault-tolerant collection of elements distributed across a cluster.Spark Core: The core processing engine that provides... Continue Reading →
CODEBOX 