Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java) Reviews
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Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java) Reviews

8129 reviews

NABEEL P. · Reviewed больше 1 года ago

IDE-URL didn't open

Siddharth C. · Reviewed больше 1 года ago

ANA M. · Reviewed больше 1 года ago

Pragati J. · Reviewed больше 1 года ago

na

Likhitha P. · Reviewed больше 1 года ago

Tough to understand the logic.

Brindha R. · Reviewed больше 1 года ago

Shinoy M. · Reviewed больше 1 года ago

Phandit J. · Reviewed больше 1 года ago

Kunal S. · Reviewed больше 1 года ago

Only one Java or Python lab should be mandatory

Maria F. · Reviewed больше 1 года ago

Rogelio R. · Reviewed больше 1 года ago

Miguel D. · Reviewed больше 1 года ago

Nithin B. · Reviewed больше 1 года ago

Martin T. · Reviewed больше 1 года ago

Patrik B. · Reviewed больше 1 года ago

Tomás J. · Reviewed больше 1 года ago

Jan Daniel G. · Reviewed больше 1 года ago

what is this lab good for if following the instructions leads to an error? -> wasted 3 attempts already and I almost do not believe I could make it at least once.

Martin T. · Reviewed больше 1 года ago

Rogelio R. · Reviewed больше 1 года ago

good

Kassandra M. · Reviewed больше 1 года ago

John S. · Reviewed больше 1 года ago

Gayatri W. · Reviewed больше 1 года ago

Jan Daniel G. · Reviewed больше 1 года ago

Kira P. · Reviewed больше 1 года ago

Too slow environment, the writing contains errors as the classe name CommmonLog, with three 'm' :/ Maven compilation fails when downloading the following dependencies: [INFO] ------------------------------------------------------------------------ [INFO] Building advanced-dataflow-lab-1-lab 1.0 [INFO] ------------------------------------------------------------------------ Downloading: https://packages.confluent.io/maven/io/confluent/kafka-avro-serializer/5.3.2/kafka-avro-serializer-5.3.2.pom Downloading: https://packages.confluent.io/maven/io/confluent/kafka-schema-registry-client/5.3.2/kafka-schema-registry-client-5.3.2.pom [INFO] ------------------------------------------------------------------------ [INFO] BUILD FAILURE [INFO] ------------------------------------------------------------------------

Miguel D. · Reviewed больше 1 года ago

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