The data management landscape is evolving rapidly, with organizations seeking more efficient ways to handle vast amounts of information through innovations such as Apache Iceberg data lake integration ...

In theory, data lakes sound like a good idea: One big repository to store all data your organization needs to process, unifying myriads of data sources. In practice, most data lakes are a mess in one ...

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 use cases, the usability and ...

A new open source project from Databricks adds ACID transactions, versioning, and schema enforcement to Spark data sources that don't have them Databricks, the company founded by the original ...

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 ...