Fundamentals of Analytics Engineering. (Record no. 16087)
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| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250710182908.0 |
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| 024 80 - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 9781837632114 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | PACKT |
| Transcribing agency | PACKT |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | en |
| 044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE | |
| MARC country code | GB |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Dumky De Wilde |
| Relator term | author. |
| 245 00 - TITLE STATEMENT | |
| Title | Fundamentals of Analytics Engineering. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | GB: |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2024-03-29. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2024-03-29 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | GB: |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 332. |
| 377 ## - ASSOCIATED LANGUAGE | |
| Language code | en |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | <p><b>Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering</b></p><h4>Key Features</h4><ul><li>Discover how analytics engineering aligns with your organization's data strategy</li><li>Access insights shared by a team of seven industry experts</li><li>Tackle common analytics engineering problems faced by modern businesses</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Written by a team of 7 industry experts, Fundamentals of Analytics Engineering will introduce you to everything from foundational concepts to advanced skills to get started as an analytics engineer. After conquering data ingestion and techniques for data quality and scalability, you'll learn about techniques such as data cleaning transformation, data modeling, SQL query optimization and reuse, and serving data across different platforms. Armed with this knowledge, you will implement a simple data platform from ingestion to visualization, using tools like Airbyte Cloud, Google BigQuery, dbt, and Tableau. You'll also get to grips with strategies for data integrity with a focus on data quality and observability, along with collaborative coding practices like version control with Git. You'll learn about advanced principles like CI/CD, automating workflows, gathering, scoping, and documenting business requirements, as well as data governance. By the end of this book, you'll be armed with the essential techniques and best practices for developing scalable analytics solutions from end to end.<h4>What you will learn</h4><ul><li>Design and implement data pipelines from ingestion to serving data</li><li>Explore best practices for data modeling and schema design</li><li>Scale data processing with cloud based analytics platforms and tools</li><li>Understand the principles of data quality management and data governance</li><li>Streamline code base with best practices like collaborative coding, version control, reviews and standards</li><li>Automate and orchestrate data pipelines</li><li>Drive business adoption with effective scoping and prioritization of analytics use cases</li></ul><h4>Who this book is for</h4>This book is for data engineers and data analysts considering pivoting their careers into analytics engineering. Analytics engineers who want to upskill and search for gaps in their knowledge will also find this book helpful, as will other data professionals who want to understand the value of analytics engineering in their organization's journey toward data maturity. To get the most out of this book, you should have a basic understanding of data analysis and engineering concepts such as data cleaning, visualization, ETL and data warehousing. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Data in extended ASCII character set. |
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| System details note | Mode of access: Internet. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fanny Kassapian |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jovan Gligorevic |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Juan Manuel Perafan |
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| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lasse Benninga |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ricardo Angel Granados Lopez |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Taís Laurindo Pereira |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Pádraic Slattery |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | PACKT |
| 773 0# - HOST ITEM ENTRY | |
| Title | Fundamentals of Analytics Engineering |
| Place, publisher, and date of publication | GB,Packt,2024-03-29 |
| Physical description | 332 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://learning.packt.com/product/470890">https://learning.packt.com/product/470890</a> |
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