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High Throughput, Disk Bottlenecks

Hadoop Developer
Current Employee
Has worked at Goldman Sachs for less than 1 year
May 3, 2022
5.0
RecommendsPositive OutlookApproves of CEO
Pros

Hadoop works on a Distributed File System where various jobs are assigned to various Data Nodes in a cluster. The data is processed parallelly in the Hadoop cluster, which produces high throughput. Throughput is nothing but the task or job done per unit of time.

Cons

Read/write operations in Hadoop are immoderate since we are dealing with large-size data that is in TB or PB. In Hadoop, data read or write is done from the disk, which makes it difficult to perform in-memory calculation and leads to processing overhead or high processing.

Additional Ratings

Work/Life Balance
5.0
Culture and Values
5.0
Diversity, Equity, and Inclusion
5.0
Career Opportunities
5.0
Compensation and Benefits
5.0
Senior Management
5.0

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