Taro Logo

Great company

MLOps Engineer
Current Employee
Has worked at IBM for less than 1 year
July 20, 2022
5.0
Pros

Good atmosphere, varied missions, good works council and other benefits, sports clubs, etc.

Cons

The following document presents a comparative analysis of several data processing frameworks. The objective is to evaluate their performance, scalability, and ease of use for large-scale data analytics. The frameworks considered are Apache Spark, Apache Flink, and Apache Hadoop MapReduce. Each framework is described in terms of its architecture, programming model, and key features. A series of benchmarks are then executed on a standardized dataset to measure execution times, memory consumption, and throughput. The results are presented and discussed, highlighting the strengths and weaknesses of each framework in different scenarios. Finally, recommendations are provided for selecting the most appropriate framework based on specific project requirements.

This content was translated from French
View Original

Additional Ratings

Work/Life Balance
5.0
Culture and Values
5.0
Diversity, Equity, and Inclusion
4.0
Career Opportunities
4.0
Compensation and Benefits
5.0
Senior Management
4.0

Was this helpful?

IBM Interview Experiences