The Architecture of Grab's Data Lake
blog.quastor.org
The Architecture of Grab's Data Lake
On many occasions, MapReduce is used similarly to an extract, load, and transform (ETL) tool. ETL tools read a set of source data, perform a set of formatting or reorganization steps, and then load the results into a destination data source. To support analysis, ETL tools take data from operational systems and get it loaded into a relational databa
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Big data technologies include a variety of hardware/software architectures, including clustered parallel servers using Hadoop/MapReduce, dedicated big data appliances, in-memory analytics, in-database processing, and so forth.
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Building and Operating a Pretty Big Storage System Called S3
Dr Werner Vogels - https://www.allthingsdistributed.com/allthingsdistributed.com