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I am having a problem in Lambda Architecture, Our data stored in HDFS is in fact based pail format using Thrift Serialization schemes and vertical partitioning.
Is there any direct way we can query our data (residing in HDFS) in batch view, so we don't have to store our output data in ElephantDB or another database and we can directly view our data and stored it in a readable format.
We are facing this problem If u can help us regarding code structure and other techniques using any set of Big Data tool and language
The text was updated successfully, but these errors were encountered:
I am having a problem in Lambda Architecture, Our data stored in HDFS is in fact based pail format using Thrift Serialization schemes and vertical partitioning
Is there any direct way we can query our data (residing in HDFS) in batch view, so we don't have to store our output data in ElephantDB or another database and we can directly view our data and stored it in a readable format
We are facing this problem If u can help us regarding code structure and other techniques using any set of Big Data tool and language
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I am having a problem in Lambda Architecture, Our data stored in HDFS is in fact based pail format using Thrift Serialization schemes and vertical partitioning.
Is there any direct way we can query our data (residing in HDFS) in batch view, so we don't have to store our output data in ElephantDB or another database and we can directly view our data and stored it in a readable format.
We are facing this problem If u can help us regarding code structure and other techniques using any set of Big Data tool and language
The text was updated successfully, but these errors were encountered: