Architecting a Modern Data Lake in a Post-Hadoop World | HackerNoon
Briefly

The Modern Datalake merges data lake and data warehouse, leveraging object storage through Open Table Formats like Apache Iceberg and Delta Lake to enhance data management.
The disaggregation of compute and storage allows organizations to innovate, moving away from monolithic frameworks and into a world of customized data solutions tailored to their needs.
With the rise and fall of Hadoop HDFS, high-performance object storage is now recognized as the primary solution that meets the scalable needs of big data in modern applications.
Open Table Formats provide essential features such as schema evolution and time travel, enabling a level of flexibility and efficiency that traditional data warehouses struggle to achieve.
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