Can Hadoop scale to handle big data?
Yes, Hadoop is designed to scale horizontally, allowing you to add more nodes to handle larger datasets.
How does Hadoop achieve this scalability?
Hadoop achieves scalability through its distributed file system (HDFS) and the ability to run MapReduce jobs across multiple nodes.
Are there any limitations to Hadoop's scalability?
While Hadoop can scale significantly, performance may degrade if not properly managed, especially with very large clusters.
What are some best practices for scaling Hadoop?
Best practices include optimizing data storage, balancing workloads, and regularly monitoring cluster performance.
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