Build a high-level ETL pipeline with source as an API service covering all the below-listed conditions using the opensource bigdata stack. a. Data request 1: Request > Response back from the endpoint (100ms) (every 15m) b. Data request 2: Request > Response back from the endpoint, with pagination, up to 1000 pages (every 1hr) c. Data request 3: Request > Response, -> OK -> wait 5-15 minutes for server to generate response/report, then query again to download (every 90m) d. Data Push: Request > Response, wait 5-15 minutes for the server to generate response/report, then query again to download, then check if successful/failed (every 15m) do this for 500 simultaneous clients

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Build a high-level ETL pipeline with source as an API service covering all the below-listed conditions using the opensource bigdata stack.

a. Data request 1: Request > Response back from the endpoint (100ms) (every 15m)

b. Data request 2: Request > Response back from the endpoint, with pagination, up to 1000 pages (every 1hr)

c. Data request 3: Request > Response, -> OK -> wait 5-15 minutes for server to generate response/report, then query again to download (every 90m)

d. Data Push: Request > Response, wait 5-15 minutes for the server to generate response/report, then query again to download, then check if successful/failed (every 15m)

do this for 500 simultaneous clients 

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