Big data analytics important questions
Understand the Problem
The question is asking for significant or critical questions related to big data analytics. This could involve understanding key concepts, challenges, applications, or trends in the field of big data.
Answer
Big Data processing techniques, MapReduce, overfitting, Zookeeper, and distributed Cache are key topics.
Important topics for Big Data analytics interviews include Big Data processing techniques, MapReduce concepts, overfitting in Big Data, the role of Zookeeper, and distributed Cache in the MapReduce framework.
Answer for screen readers
Important topics for Big Data analytics interviews include Big Data processing techniques, MapReduce concepts, overfitting in Big Data, the role of Zookeeper, and distributed Cache in the MapReduce framework.
More Information
In Big Data interviews, understanding the different processing techniques and the underlying frameworks like MapReduce is crucial. Familiarity with concepts like overfitting and tools such as Zookeeper can set candidates apart.
Tips
Not focusing on the practical application of tools and concepts can be a common mistake. It's important to not only understand these tools theoretically but also how they are applied in real-world scenarios.
Sources
- Big Data Interview Questions for Experienced - interviewbit.com
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