PinnedRahul SounderDataWarehouse vs Data Lakes (and Lake Houses) for Data Engineer BegineersData WarehouseJun 25Jun 25
PinnedRahul Sounder5 V’s of Big Data Demystified — Volume, Velocity, Variety, Value & VeracityDefinition: Refers to the vast amount of data generated from various sources such as social media, sensors, transactions, etc. Big data…Jun 24Jun 24
Rahul SounderLoading Data into Snowflake for Data EngineersLoading data into Snowflake involves several steps, including preparing the data, staging it, and then loading it into Snowflake tables…1d ago1d ago
Rahul SounderSnowflake — Exploring Databases & Tables for Data EngineersIn Snowflake, databases, schemas, and tables are fundamental structures for organizing and managing data. Here’s a detailed overview of…2d ago2d ago
Rahul SounderSnowflake — Scaling Policy in Warehouse for Data EngineersSnowflake’s scaling policy is designed to manage the dynamic allocation of compute resources in response to workload demands. Snowflake…2d ago2d ago
Rahul SounderManaging & Altering Snowflake Warehouse Explained for Data EngineersTo Alter the suspended Warehouse using RESUME2d ago2d ago
Rahul Sounderspark.default.parallelism vs spark.sql.shuffle.parallelism Explained for Data EngineersIn Apache Spark, spark.default.parallelism and spark.sql.shuffle.parallelism are configuration settings that control the parallelism of…2d ago2d ago
Rahul SounderSnowflake — Setting up New Warehouse Explained for Data EngineersStep-by-Step Guide to Setting Up a New Warehouse2d ago2d ago
Rahul Sounder02 — Snowflake Architecture Explained for Data EngineersSnowflake is a cloud-based data warehousing solution that offers flexibility, scalability, and performance. Its unique architecture…2d ago2d ago
Rahul SounderHow to handle real-time missing data during ingestion in Apache flinkHandling real-time missing data during ingestion in Apache Flink involves several strategies to ensure data integrity and continuity in…2d ago2d ago