Data Engineering in 2022: Storage and Access
Read OriginalThis article examines the evolution of data engineering in 2022, specifically focusing on how analytical data is stored, organized, and accessed at scale. It critiques the history from expensive data warehouses to Hadoop and HDFS-based data lakes, and discusses modern table formats like Apache Hudi, Iceberg, and Delta Lake. It is a technical analysis aimed at data engineers and architects.
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