Big Data: Opportunities and challenges
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
Swindon
BCS Learning & Development Limited
2014
|
| Subjects: | |
| Online Access: | FLA01 |
| Item Description: | Print version record |
| Physical Description: | 1 online resource (60 pages) |
| ISBN: | 9781780172620 1780172621 9781780172637 178017263X 1780172648 9781780172644 |
Staff View
MARC
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| contents | This ebook aims to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surrounding big data |
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| id | DE-604.BV046102214 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:35:19Z |
| institution | BVB |
| isbn | 9781780172620 1780172621 9781780172637 178017263X 1780172648 9781780172644 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031482991 |
| oclc_num | 878262965 |
| open_access_boolean | |
| physical | 1 online resource (60 pages) |
| psigel | ZDB-4-EBU ZDB-4-EBU FLA_PDA_EBU |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | BCS Learning & Development Limited |
| record_format | marc |
| spelling | Big Data Opportunities and challenges Swindon BCS Learning & Development Limited 2014 1 online resource (60 pages) txt rdacontent c rdamedia cr rdacarrier Print version record This ebook aims to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surrounding big data COMPUTERS/Programming Languages/SQL. bisacsh Big data fast Data mining fast Database management fast Big data Data mining Database management |
| spellingShingle | Big Data Opportunities and challenges This ebook aims to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surrounding big data COMPUTERS/Programming Languages/SQL. bisacsh Big data fast Data mining fast Database management fast Big data Data mining Database management |
| title | Big Data Opportunities and challenges |
| title_auth | Big Data Opportunities and challenges |
| title_exact_search | Big Data Opportunities and challenges |
| title_full | Big Data Opportunities and challenges |
| title_fullStr | Big Data Opportunities and challenges |
| title_full_unstemmed | Big Data Opportunities and challenges |
| title_short | Big Data |
| title_sort | big data opportunities and challenges |
| title_sub | Opportunities and challenges |
| topic | COMPUTERS/Programming Languages/SQL. bisacsh Big data fast Data mining fast Database management fast Big data Data mining Database management |
| topic_facet | COMPUTERS/Programming Languages/SQL. Big data Data mining Database management Big data Data mining Database management |