Designing Snowflake Tables for High-Volume DataIn today’s data-driven world, managing high-volume data efficiently is crucial for businesses to gain actionable insights. Snowflake, a…May 24May 24
User-defined Table Functions (UDTF)Spark 3.5 introduces the Python user-defined table function (UDTF), a novel type of user-defined function. Unlike scalar functions, which…May 22May 22
Published inDev GeniusUsing SnowflakeOperator in Apache AirflowIn Apache Airflow, the snowflake operator is used to execute SQL commands in a Snowflake database. Snowflake is a cloud-based data…May 1May 1
Understanding Slowly Changing Dimensions (SCD) in Data WarehousingWhat is Slowly Changing Dimension (SCD)?Apr 18Apr 18
Published inDev GeniusEnhancing Performance of a Streamlined Heavy Spark Job with Extensive LineageIntroduction:Apr 13Apr 13
Apache Flink vs. Apache Kafka — Unraveling the Tapestry of Real-Time Data ProcessingIntroduction:Mar 31Mar 31
Real-Time Stream Processing with Apache FlinkIn the era of big data, organizations face the challenge of processing massive volumes of data in real-time to extract valuable insights…Mar 27Mar 27
