Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow Reviews

125553 reviews

Diagrams of areas and selections items would be very helpful and expected from a professional organization.

Don M. · Reviewed больше 3 лет ago

Md Irfan A. · Reviewed больше 3 лет ago

I could not follow all the instructions, maybe my fault.

Serhan K. · Reviewed больше 3 лет ago

very good

Abhijit G. · Reviewed больше 3 лет ago

a good lab to get hands on experience

Mike D. · Reviewed больше 3 лет ago

MOIDUDDIN A. · Reviewed больше 3 лет ago

Mike D. · Reviewed больше 3 лет ago

Manuel Jose C. · Reviewed больше 3 лет ago

Streamline pipeline job not streaming data, Tried twice

Vishal K. · Reviewed больше 3 лет ago

short time

Dalia H. · Reviewed больше 3 лет ago

outdated, UI and process have changed significantly, unable to complete all parts of lab

Jeffrey K. · Reviewed больше 3 лет ago

Achraf I. · Reviewed больше 3 лет ago

Jordi L. · Reviewed больше 3 лет ago

Lack of screenshots

MARTIAL K. · Reviewed больше 3 лет ago

Nicolas B. · Reviewed больше 3 лет ago

Pierre-Arnaud B. · Reviewed больше 3 лет ago

Oleh V. · Reviewed больше 3 лет ago

Jay P. · Reviewed больше 3 лет ago

Zuhaib Muhammad -. · Reviewed больше 3 лет ago

V G. · Reviewed больше 3 лет ago

Gaurav J. · Reviewed больше 3 лет ago

I suspect there is an error in this query: WITH streaming_data AS ( SELECT timestamp, TIMESTAMP_TRUNC(timestamp, HOUR, 'UTC') AS hour, TIMESTAMP_TRUNC(timestamp, MINUTE, 'UTC') AS minute, TIMESTAMP_TRUNC(timestamp, SECOND, 'UTC') AS second, ride_id, latitude, longitude, meter_reading, ride_status, passenger_count FROM taxirides.realtime ORDER BY timestamp DESC LIMIT 1000 ) # calculate aggregations on stream for reporting: SELECT ROW_NUMBER() OVER() AS dashboard_sort, minute, COUNT(DISTINCT ride_id) AS total_rides, SUM(meter_reading) AS total_revenue, SUM(passenger_count) AS total_passengers FROM streaming_data GROUP BY minute, timestamp The text says that the result shows key metrics by the minute for every taxi drop-off. However, by grouping per timestamp and minute, you are doing a data-summary by row and not by minute. Finally, 2 minutes were not enough to collect drop-off data to create the final plot, at least in my case. Cheers, Giacomo

Giacomo B. · Reviewed больше 3 лет ago

Shruti K. · Reviewed больше 3 лет ago

anuj g. · Reviewed больше 3 лет ago

Alodeepa R. · Reviewed больше 3 лет ago

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