May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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Loading data from Amazon S3
If Spark is a MapReduce killer, Amazon S3 is an HDFS killer. S3 is what the ultimate dream of cloud storage can be thought of as. S3 is a foundational service on Amazon Web Services (AWS), and almost every application running on AWS uses S3 for storage. Not only end-user applications but also other AWS services use S3 extensively; following are a few examples:
- Amazon Kinesis uses S3 as target storage
- Amazon Elastic MapReduce has one storage mode in S3
- Amazon Elastic Block Store (EBS) uses S3 to store snapshots
- Amazon Relation Database Service (RDS) uses S3 to store snapshots
- Amazon Redshift uses S3 for data staging
- Amazon DynamoDB uses S3 for data staging
Following are some of the salient features of S3:
- 11 ...
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