Google Bigquery Analytics/ (Record no. 9319)
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000 -LEADER | |
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fixed length control field | 01534nam a2200229Ia 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | IAB |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20211227100736.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 210305s9999||||xx |||||||||||||| ||und|| |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781118824825 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | DLC |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 025.04 TIG 2014 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Tigani, Jordan |
Relator term | author |
245 #0 - TITLE STATEMENT | |
Title | Google Bigquery Analytics/ |
Remainder of title | Jordan Tigani, Siddartha Naidu |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Name of publisher, distributor, etc. | John Wiley & Sons, Inc., |
Date of publication, distribution, etc. | 2014 |
-- | ©2014 |
Place of publication, distribution, etc. | Indianapolis: |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 508 pages: |
Other physical details | illustrations; |
Dimensions | 24 cm |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addition to the mechanics of BigQuery, the book also covers the architecture of the underlying Dremel query engine, providing a thorough understanding that leads to better query results. It features a companion website that includes all code and data sets from the book; uses real-world examples to explain everything analysts need to know to effectively use BigQuery; includes web application examples coded in Python. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Google Analytics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Google BigQuery |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Web usage mining |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Naidu, Siddartha, |
Relator term | author |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type | BUKU |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Cost, normal purchase price | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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Pusat Sumber Pendidikan IABI | Pusat Sumber Pendidikan IABI | 05/03/2021 | 189.87 | 025.04 TIG 2014 | 0000009309 | 05/03/2021 | 05/03/2021 | BUKU | ||||
Pusat Sumber Pendidikan IABI | Pusat Sumber Pendidikan IABI | 05/03/2021 | 190.87 | 025.04 TIG 2014 | 0000009310 | 05/03/2021 | 05/03/2021 | BUKU | ||||
Pusat Sumber Pendidikan IABI | Pusat Sumber Pendidikan IABI | 05/03/2021 | 191.87 | 025.04 TIG 2014 | 0000009311 | 05/03/2021 | 05/03/2021 | BUKU |