Delta Lake can be used as a drop-in replacement to access storage systems like HDFS. Data ingested into Spark through Delta Lake is stored in Parquet format in a cloud storage service of your choice.

"Delta Lake sits on top of your storage system [s], it does not replace them. Delta Lake is a transactional storage layer that works both on top of HDFS and cloud storage like S3, Azure blob ...

Low-Code Apache Spark and Delta Lake Even though Spark and Delta are the perfect basis for your future data pipeline, and the Data Lakehouse architecture allows us to enable a tremendous amount of new ...

For data engineers, building fast, reliable pipelines is only the beginning. Today, you also need to deliver clean, high quality data ready for downstream users to do BI and ML. Apache Spark ...

Low-Code Apache Spark and Delta Lake Historically, the need for cost-effective storage, performant processing, and low-latency querying required a two-tier architecture: a data lake for raw storage of ...