Data engineering with python : (Record no. 91025)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02261nam a22002177a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231012b2020 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781839214189 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7565 CRI-P |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Crickard, Paul |
| 245 ## - TITLE STATEMENT | |
| Title | Data engineering with python : |
| Remainder of title | work with massive datasets to design data models and automate data pipelines using python / |
| Statement of responsibility, etc. | Paul Crickard |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | India |
| Name of publisher, distributor, etc. | Packt |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 337 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 3299.00 |
| 500 ## - GENERAL NOTE | |
| General note | Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects<br/><br/>* Become well-versed in data architectures, data preparation, and data optimization skills with the help of practical examples<br/>* Design data models and learn how to extract, transform, and load (ETL) data using Python<br/>* Schedule, automate, and monitor complex data pipelines in production<br/><br/>Data engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python.<br/><br/>The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines.<br/><br/>By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Database management |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Databases |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Information retrieval |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Information technology |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Koha item type |
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| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | General Stack (For lending) | 12/10/2023 | 005.7565 CRI-P | 47295 | 13/07/2024 | Books |