You work as a machine learning specialist at a marketing company.
Your team has gathered market data about your users into an S3 bucket.
You have been tasked to write an AWS Glue job to convert the files from json to a format that will be used to store Hive data.
Which data format is the most efficient to convert the data for use with Hive?
Click on the arrows to vote for the correct answer
A. B. C. D.Answer: D.
Option A is incorrect.
Currently, AWS Glue does not support ion for output.
(See the AWS developer guide documentation titled Format Options for ETL Inputs and Outputs in AWS Glue)
Option B is incorrect.
Currently, AWS Glue does not support grokLog for output.
(See the AWS developer guide documentation titled Format Options for ETL Inputs and Outputs in AWS Glue)
Option C is incorrect.
Currently, AWS Glue does not support xml for output.
(See the AWS developer guide documentation titled Format Options for ETL Inputs and Outputs in AWS Glue)
Option D is correct.
From the Apache Hive Language Manual: “The Optimized Row Columnar (ORC) file format provides a highly efficient way to store Hive data.
It was designed to overcome the limitations of the other Hive file formats.
Using ORC files improves performance when Hive is reading, writing, and processing data.” Also, AWS Glue supports orc for output.
(See the Apache Hive Language Manual and the AWS developer guide documentation titled Format Options for ETL Inputs and Outputs in AWS Glue)
Reference:
Please see the AWS developer guide documentation titled General Information about Programming AWS Glue ETL Scripts.
The most efficient data format to convert data for use with Hive is D. orc.
Apache ORC (Optimized Row Columnar) is a columnar storage format that is optimized for large-scale analytics workloads. ORC provides low latency and high throughput access to your data, and it is well suited for use cases such as data warehousing, analytics, and machine learning. ORC is particularly efficient when processing large datasets, as it enables you to read only the specific columns that you need, and it supports predicate pushdown, which allows filtering to be performed on the storage layer rather than in the processing layer.
On the other hand, ion is a binary format used for serializing and de-serializing data structures. While it provides some advantages over JSON, such as support for binary data and the ability to preserve the order of elements, it is not optimized for use with Hive.
GrokLog is not a data format, but rather a tool used for parsing log files.
XML is a markup language used for encoding documents, and while it can be used as a data format, it is not as efficient as ORC for large-scale analytics workloads.
Therefore, the most efficient data format for converting data for use with Hive is ORC.