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Handling Large-Scale Data Ingestion in AWS Pipelines

Cloud/Toolshard0.2 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Nagarro
Key Concepts Tested
partition
Expert AnswerPremium
45 wordsInterview-ready
Architectural options: (1) Kinesis Streams/Firehose—streaming, auto-scale, batch to S3. (2) Glue—batch, scale DPUs. (3) DMS—DB migration, CDC. (4) S3 multipart—large files. (5) Shard/partition for parallelism. Scalability: Firehose for throughput; Glue for batch....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Nagarro. The answer also includes follow-up discussion points that interviewers commonly explore.

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