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 Sounder️Snowflake ❄️ Handling Error during Stage Load into Snowflake Table for Data EngineersIn Snowflake, when you load data into a table using the COPY INTO command, errors can occur due to various reasons such as data type…Jul 26Jul 26
Rahul Sounder3 levels of Stages on Snowflake are Explained for Data EngineersIn Snowflake, stages are used to load and unload data from and to Snowflake. They act as intermediate storage locations for data files that…Jul 25Jul 25
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…Jul 22Jul 22
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…Jul 22Jul 22
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…Jul 22Jul 22
Rahul SounderManaging & Altering Snowflake Warehouse Explained for Data EngineersTo Alter the suspended Warehouse using RESUMEJul 22Jul 22
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…Jul 22Jul 22
Rahul SounderSnowflake — Setting up New Warehouse Explained for Data EngineersStep-by-Step Guide to Setting Up a New WarehouseJul 21Jul 21