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vendettaa

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21 minutes ago, LastManStanding said:

Nenu aite asalu ilanti company chudala and untundi ani kuda anukoni tbh. Discussions endi ML em cheyala ani. Data processing deniki asalu inta kalam and i tha time? Inka oke reason e processing Applucation development ki..analytics ki kadhu asalu. Ye company vadu aina antha data tiskuvachi next discuss cheddam ha data em cheddamo antada? Either it’s used for software development and nothing related to analytics or you are not sure

Babu Madi from

scratch project ,na responsibility to build data pipeline and process data based on requirements 

high level

chala undi story  datascientists r working on it ,microservices vallu,devops vallu okakaldi okko role nenu matuku data engineer 

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Ni g nu ganka chestnav wrk thiyy! high level kakunda low level cheppu emina like spark streaming millions rows data kafka, AWS RDS, design/build pipeline ki em chestunavo atla..

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1 minute ago, Aakupaccha_caradu said:

Ni g nu ganka chestnav wrk thiyy! high level kakunda low level cheppu emina like spark streaming millions rows data kafka, AWS RDS, design/build pipeline ki em chestunavo atla..

tenor.gif

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30 minutes ago, vendettaa said:

Babu Madi from

scratch project ,na responsibility to build data pipeline and process data based on requirements 

high level

chala undi story  datascientists r working on it ,microservices vallu,devops vallu okakaldi okko role nenu matuku data engineer 

mari inka discos jarugutunnai annav kadha..anduke ala cheppa! Edaina kani..coolios

:)

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17 hours ago, Aakupaccha_caradu said:

Ni g nu ganka chestnav wrk thiyy! high level kakunda low level cheppu emina like spark streaming millions rows data kafka, AWS RDS, design/build pipeline ki em chestunavo atla..

Data pipeline designing like getting  live data from kafka ,then spark streaming (processing) and saving to nosql dB and hive ..,.deploying these spark jobs on pods(Kubernetes)

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1 minute ago, vendettaa said:

Data pipeline designing like getting  live data from kafka ,then spark streaming (processing) and saving to nosql dB and hive ..,.deploying these spark jobs on pods(Kubernetes)

inka

 

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