Data Reliability Challenges in Building with Data Lakes

A data lake can store all data, regardless of source, regardless of structure, and usually regardless of size also. An Ideal data lake also supports embrace these nontraditional data types which come from nontraditional data sources. These nontraditional data sources include items such as web server logs, sensor data, social network activity, text, and images. New use cases for these data types continue to be identified.

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BI Specialist || Azure || AWS || GCP — SQL|Python|PySpark — Talend, Alteryx, SSIS — PowerBI, Tableau, SSRS

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Ryan Arjun

BI Specialist || Azure || AWS || GCP — SQL|Python|PySpark — Talend, Alteryx, SSIS — PowerBI, Tableau, SSRS