Big Data Forensics – Learning Hadoop Investigations (Record no. 36686)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02425cam a22003015i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 19225142 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KCU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240724103251.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160811s2016 nyu 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2016950753 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781785288104 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Transcribing agency | DLC |
| Modifying agency | KCU |
| Description conventions | AACR2 |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Classification number | 005.8 |
| Item number | SRE |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sremack, Joe |
| Relator term | Author |
| 245 00 - TITLE STATEMENT | |
| Title | Big Data Forensics – Learning Hadoop Investigations |
| Statement of responsibility, etc. | Joe Sremack |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2015 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | New York, NY : |
| Name of producer, publisher, distributor, manufacturer | Packt Publishing, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2015. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 237p. : |
| Other physical details | ill. ; |
| Dimensions | 24 cm. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Media type code | n |
| Source | rdamedia |
| 500 ## - GENERAL NOTE | |
| General note | Big Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop’s operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation.<br/><br/>Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop’s internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience. |
| 648 ## - SUBJECT ADDED ENTRY--CHRONOLOGICAL TERM | |
| Chronological term | investigations |
| Form subdivision | Criminal investigations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Digital forensic science. |
| General subdivision | Crimes |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 0 |
| b | ibc |
| c | orignew |
| d | 2 |
| e | epcn |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Suppress in OPAC | No |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Non-fiction | KING CEASOR UNIVERSITY LIBRARY | KING CEASOR UNIVERSITY LIBRARY | Reserve Section | 07/24/2024 | Purchased | 005.8 SRE | 2775 | 07/24/2024 | 1 | 07/24/2024 | Books |