Big data imperatives: (Record no. 5951)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02789nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240210152220.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240210b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484284612 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.74 |
| Item number | MOH |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mohanty, Soumendra |
| 245 ## - TITLE STATEMENT | |
| Title | Big data imperatives: |
| Remainder of title | enterprise big data warehouse, BI implementations and analytics |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Apress |
| Place of publication, distribution, etc. | California |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxii, 296 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 999.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications?<br/>Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.<br/><br/>This book addresses the following big data characteristics:<br/><br/>Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible<br/>Petabytes/Exabytes of data<br/>Millions/billions of people providing/contributing to the context behind the data<br/>Flat schema's with few complex interrelationships<br/>Involves time-stamped events<br/>Made up of incomplete data<br/>Includes connections between data elements that must be probabilistically inferred<br/>Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability.<br/>Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible.<br/><br/>This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.<br/><br/>(https://link.springer.com/book/10.1007/978-1-4302-4873-6#about-this-book) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Administrative data processing, |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data analytics |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jagadeesh, Madhu |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Srivatsa, Harsha |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | TB3444 | 24-01-2024 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 02/10/2024 | Technical Bureau India Pvt. Ltd. | 694.30 | 005.74 MOH | 005741 | 02/10/2024 | 1 | 999.00 | 02/10/2024 | Book |