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Data Lake for Enterprises
book

Data Lake for Enterprises

by Vivek Mishra, Tomcy John, Pankaj Misra
May 2017
Beginner to intermediate
596 pages
15h 2m
English
Packt Publishing
Content preview from Data Lake for Enterprises

Avro Data as HIVE Table

In order to create Avro data from the contacts text file, we will make use of INTERNAL Hive table. They come with in-built mechanisms to convert text data to Avro data. However, having an EXTERNAL table for Avro data would be more practical as discussed before from integration perspective with Sqoop, Flume and Flink.

In order to see this in action we will need to execute the following steps:

  1. Avro schema for contacts namely contact.ascv (schema file) could be represented as shown the following command:
{   "namespace": "example.avro",   "type": "record",   "name": "Contact",   "fields": [      {"name": "id", "type": "string"},      {"name": "cell",  "type": "string"},      {"name": "phone", "type": "string"}, {"name": "email", "type": "string"} ...
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Publisher Resources

ISBN: 9781787281349