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Learning Python for Forensics

You're reading from   Learning Python for Forensics Leverage the power of Python in forensic investigations

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789341690
Length 476 pages
Edition 2nd Edition
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Authors (2):
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Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
Chapin Bryce Chapin Bryce
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Chapin Bryce
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Table of Contents (15) Chapters Close

Preface 1. Now for Something Completely Different 2. Python Fundamentals FREE CHAPTER 3. Parsing Text Files 4. Working with Serialized Data Structures 5. Databases in Python 6. Extracting Artifacts from Binary Files 7. Fuzzy Hashing 8. The Media Age 9. Uncovering Time 10. Rapidly Triaging Systems 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle 14. Other Books You May Enjoy

An overview of databases

Databases provide an efficient means of storing large amounts of data in a structured manner. There are many types of databases, commonly broken into two categories: SQL or NoSQL. SQL (short for Structured Query Language) is designed to be a simple language that allows users to manipulate large datasets that are stored in a database. This includes common databases, such as MySQL, SQLite, and PostgreSQL. NoSQL databases are also useful and generally use JSON or XML to store data of varying structures, both of which were discussed as common serialized data types in the previous chapter.

Using SQLite3

SQLite3 is the latest version of SQLite and is one of the most common databases found in application...

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