What are scalable algorithms and why are they important?
Scalable algorithms are designed to handle increasing amounts of data efficiently. They're crucial for performance.
Can you give me an example of a scalable algorithm?
Sure! The MapReduce algorithm is a classic example, allowing for distributed processing of large data sets.
How do I start implementing a scalable algorithm in my project?
Begin by identifying the data processing tasks that need scaling, then choose an appropriate algorithm and framework.
What frameworks are best for implementing scalable algorithms?
Popular frameworks include Apache Hadoop, Apache Spark, and Google Cloud Dataflow, each suited for different needs.
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