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E53: Tomasz Tunguz on the Evolution of the Data Ecosystem
"Turpentine VC" | Venture Capital and Investing
Navigating the Data Ecosystem: Structured vs. Unstructured
In the data ecosystem, traditional data infrastructure primarily focuses on business intelligence outputs, utilizing structured data derived from transactional systems, such as point of sale systems. This data undergoes extraction, transformation, and loading (ETL) processes into cloud data warehouses like Snowflake for manipulation and reporting. While this modern data stack excels with smaller volumes of structured data, it struggles with unstructured data such as text, images, and large files due to cost and latency issues. Unstructured data management necessitates robust systems capable of processing larger volumes across numerous servers, exemplified by historical technologies like MapReduce and Hadoop. Snowflake specializes in managing data frames, contrasting with Hadoop's emphasis on file systems for diverse data types.
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