关于“Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java)”的评价
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Siddharth C. · 评论5 months之前
ANA M. · 评论5 months之前
Pragati J. · 评论5 months之前
na
Likhitha P. · 评论5 months之前
Tough to understand the logic.
Brindha R. · 评论5 months之前
Shinoy M. · 评论5 months之前
Phandit J. · 评论5 months之前
Kunal S. · 评论5 months之前
Only one Java or Python lab should be mandatory
Maria F. · 评论5 months之前
Rogelio R. · 评论5 months之前
Miguel D. · 评论5 months之前
Nithin B. · 评论5 months之前
Martin T. · 评论5 months之前
Patrik B. · 评论5 months之前
Tomás J. · 评论5 months之前
Jan Daniel G. · 评论5 months之前
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. · 评论5 months之前
Rogelio R. · 评论5 months之前
good
Kassandra M. · 评论5 months之前
John S. · 评论5 months之前
Gayatri W. · 评论5 months之前
Jan Daniel G. · 评论5 months之前
Kira P. · 评论5 months之前
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. · 评论5 months之前
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. · 评论5 months之前
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