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Apache Hive Essentials

You're reading from Apache Hive Essentials Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

Product type Paperback

Published in Feb 2015

Publisher Packt

ISBN-13 9781783558575

Length 208 pages

Edition 1st Edition

Languages

SQL

Tools

Hive

Concepts

Data Processing

Author (1):

Dayong Du

View More author details

Table of Contents (12) Chapters

Preface

1. Overview of Big Data and Hive

2. Setting Up the Hive Environment FREE CHAPTER

3. Data Definition and Description

4. Data Selection and Scope

5. Data Manipulation

6. Data Aggregation and Sampling

7. Performance Considerations

8. Extensibility Considerations

9. Security Considerations

10. Working with Other Tools

Index

Encryption

For sensitive and legally protected data such as personal identity information (PII), it is required to store the data in encrypted format in the filesystem. However, Hive does not natively support encryption and decryption yet (see https://issues.apache.org/jira/browse/HIVE-5207).

Alternatively, we can look for third-party tools to encrypt and decrypt data after exporting it from Hive, but this requires additional postprocessing. The new HDFS encryption (see https://issues.apache.org/jira/browse/HDFS-6134) offers great transparent encryption and decryption of data on HDFS. It will satisfy our request if we want to encrypt the whole dataset in HDFS. However, it cannot be applied to the selected column and row level in the table of Hive, where most PII that is encrypted is only a part of raw data. In this case, the best solution for now is to use Hive UDF to plug in encryption and decryption implementations on selected columns or partial data in the Hive tables.

Sample UDF implementations...

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Authors (1)

Dayong Du

Dayong Du

Dayong Du has all his career dedicated to enterprise data and analytics for more than 10 years, especially on enterprise use case with open source big data technology, such as Hadoop, Hive, HBase, Spark, etc. Dayong is a big data practitioner as well as author and coach. He has published the 1st and 2nd edition of Apache Hive Essential and coached lots of people who are interested to learn and use big data technology. In addition, he is a seasonal blogger, contributor, and advisor for big data start-ups, co-founder of Toronto big data professional association.

See other products by Dayong Du

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