Data Engineer | Python | SQL | NonSQL | BigData | Spark | SAP HANA | SAP Fiori
Previous blog/Context: In an earlier blog, we discussed Spark ETL with Lakehouse (with HUDI). Please find below blog post for more details. https://developershome.blog/2023/03/22/spark-etl-chapter-8-with-lakehouse-apache-hudi/ Introduction: In this blog, we will discuss Spark ETL with Apache iceberg. We will first understand what Apache iceberg is and why use Apache iceberg for creating Lake house. We will source... Continue Reading →
Previous blog/Context: In an earlier blog, we discussed Spark ETL with API. Please find below blog post for more details https://developershome.blog/2023/03/18/spark-etl-chapter-6-with-apis/ Introduction: In this blog, we will discuss Spark ETL with lake house. We will first understand what a lake house is and why we need a lakehouse and what are the formats for storing... Continue Reading →
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 →
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