Official google cloud certified professional data engineer study guide (Record no. 1773)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02053nam a2200217 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250802142308.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250802b2020|||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119618447 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 371.06 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Sullivan, Dan |
| Relator term | Author |
| 245 ## - TITLE STATEMENT | |
| Title | Official google cloud certified professional data engineer study guide |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | New Jersey: |
| Name of publisher | Wiley Data and Cybersecurity, |
| Year of publication | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxxvii, 313p. |
| 500 ## - GENERAL NOTE | |
| General note | The proven Study Guide that prepares you for this new Google Cloud exam<br/><br/>The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. <br/><br/>Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications. <br/><br/>• Build and operationalize storage systems, pipelines, and compute infrastructure<br/><br/>• Understand machine learning models and learn how to select pre-built models<br/><br/>• Monitor and troubleshoot machine learning models<br/><br/>• Design analytics and machine learning applications that are secure, scalable, and highly available. <br/><br/>This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Building and Operationalizing Storage Systems |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Designing a Data Processing Solution |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Designing for Security and Compliance |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/servlet/opac?bknumber=9820850 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | e-Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Coded location qualifier | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | Ebook (Online Access) | --- | 371.06 | EB0197 | e-Books |