April 21, 2024, 1:47 p.m. | Alex Merced

DEV Community dev.to

For a long time, siloed data systems such as databases and data warehouses were sufficient. These systems provided convenient abstractions for various data management tasks, including:



  • Storage locations and methods for data.

  • Identification and recognition of unique datasets or tables.

  • Cataloging and tracking available tables.

  • Parsing, planning, and executing queries.


However, as needs evolved, it became necessary to utilize multiple systems to process the data, leading to costly and time-consuming data duplication and copying. This also introduced challenges in troubleshooting …

abstractions apache data databases data management datasets data warehouses identification intro locations management parsing planning queries recognition resources storage systems tables tasks tracking unique warehouses

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US