IngestIQ – Hadoop to Databricks AI-powered Migration

Organizations are migrating from their on-premise, legacy Hadoop Data Lake to a more modern data architecture to take advantage of AI to fulfill the long-awaited promise of unlocking business value from semi- and unstructured data. Databricks tends to be the modern platform of choice for Hadoop migrations due to core architectural similarities. Apache Spark has its roots in Hadoop, and its developers founded Databricks. There is a pretty good chance you are using Parquet as your file format in HDFS. They even share the Hive Metastore for data abstraction and discovery.

Teams tasked with migrating from their legacy Hadoop platforms to Databricks face unique and unexpected challenges. since Hadoop is a platform, not just a database. In fact, approaching this as a database migration hides most of the technical challenges and can lead to a fundamental misunderstanding of the scope of the project. This is particularly true when you consider ...