Photo by Alexander Isreb on Pexels.com The rise of big data has led to the emergence of new data architectures that can handle the volume, variety, and velocity of data generated by modern organizations. Two of the most popular data architectures are traditional data warehouses and lake house architectures. In this post, we will compare... Continue Reading →
Spark ETL Chapter 6 with APIs
Previous blog/Context: In an earlier blog, we discussed Spark ETL with HIVE. Please find below blog post for more details https://developershome.blog/2023/03/15/spark-etl-chapter-5-with-hive-tables/ Introduction: In this blog, we will do Spark ETL with APIs. We will source data from API and load data into one of the below destinations. We will learn how to call APIs from... Continue Reading →