What technologies are commonly used for big data analysis?
Common technologies include Hadoop, Spark, NoSQL databases, and data warehousing solutions like Amazon Redshift.
Can you explain how Hadoop works in big data analysis?
Hadoop is an open-source framework that allows for distributed storage and processing of large data sets across clusters of computers.
What about Spark? How does it differ from Hadoop?
Spark is faster than Hadoop because it processes data in-memory, while Hadoop relies on disk storage, making it more efficient for certain tasks.
Are there any specific tools within these technologies that I should know about?
Yes, tools like Hive for data warehousing on Hadoop, and MLlib for machine learning on Spark are essential for big data analysis.
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