Data Engineering Best Practices
eBook Details:
- Paperback: 550 pages
- Publisher: WOW! eBook (October 11, 2024)
- Language: English
- ISBN-10: 1803244984
- ISBN-13: 978-1803244983
eBook Description:
Data Engineering Best Practices: Architect robust and cost-effective data solutions in the cloud era. Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platforms.
Revolutionize your approach to data processing in the fast-paced business landscape with this essential guide to data engineering. Discover the power of scalable, efficient, and secure data solutions through expert guidance on data engineering principles and techniques. Written by two industry experts with over 60 years of combined experience, Data Engineering Best Practices book offers deep insights into best practices, architecture, agile processes, and cloud-based pipelines.
You’ll start by defining the challenges data engineers face and understand how this agile and future-proof comprehensive data solution architecture addresses them. As you explore the extensive toolkit, mastering the capabilities of various instruments, you’ll gain the knowledge needed for independent research. Covering everything you need, right from data engineering fundamentals, the guide uses real-world examples to illustrate potential solutions. It elevates your skills to architect scalable data systems, implement agile development processes, and design cloud-based data pipelines. The book further equips you with the knowledge to harness serverless computing and microservices to build resilient data applications.
- Architect scalable data solutions within a well-architected framework
- Implement agile software development processes tailored to your organization’s needs
- Design cloud-based data pipelines for analytics, machine learning, and AI-ready data products
- Optimize data engineering capabilities to ensure performance and long-term business value
- Apply best practices for data security, privacy, and compliance
- Harness serverless computing and microservices to build resilient, scalable, and trustworthy data pipelines
By the end of this Data Engineering Best Practices book, you’ll be armed with the expertise to design and deliver high-performance data engineering solutions that are not only robust, efficient, and secure but also future-ready.
