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Scalability of data bricks helped me a lot in enhancing my work quality

  • By mona m.
  • on 11/12/2024

What do you like best about the product?
Databricks significantly enhances my work by providing a "unified platform" that integrates various data sources and supports multiple programming languages, simplifying the development and management of ETL workflows. Its scalability, powered by Apache Spark, allows for horizontal scaling to handle increasing data volumes efficiently. Additionally, the collaborative notebooks foster teamwork among data engineers, scientists, and analysts, streamlining communication and accelerating workflow development.
What do you dislike about the product?
I can say about the dislikes of data bricks that
-Cost Management Complexity:
Scaling can lead to unexpected costs if not monitored closely.
- Management Overhead:
Large clusters increase complexity in management and configuration.
- Performance Variability:
Improper configurations may lead to inefficiencies and longer runtimes.
What problems is the product solving and how is that benefiting you?
the collaborative notebooks foster teamwork among data engineers, scientists, and analysts, streamlining communication and accelerating workflow development.


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