What are some popular batch processing tools and technologies?
Some popular batch processing tools include Apache Hadoop, Apache Spark, and AWS Batch. Each has unique features.
Can you explain how Apache Spark differs from Hadoop?
Apache Spark is generally faster than Hadoop because it processes data in-memory, while Hadoop relies on disk storage.
What are the use cases for batch processing?
Batch processing is ideal for large-scale data processing tasks like ETL, data warehousing, and report generation.
Are there any cloud-based batch processing solutions?
Yes, cloud-based solutions like AWS Batch, Google Cloud Dataflow, and Azure Batch offer scalable batch processing capabilities.
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