Stretching my Legs in the Data Engineering Ecosystem in 2022
Read OriginalA seasoned data engineer with a background in data warehousing and stream processing revisits the modern data engineering landscape. The article contrasts historical practices (COBOL, DB2, Oracle) with the evolution through Big Data (Hadoop) and current trends, aiming to reacquaint with contemporary tools and methodologies in analytics and data pipelines.
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