Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering
Key Features- Discover how analytics engineering aligns with your organization's data strategy
- Access insights shared by a team of seven industry experts
- Tackle common analytics engineering problems faced by modern businesses
- Purchase of the print or Kindle book includes a free PDF eBook
- Design and implement data pipelines from ingestion to serving data
- Explore best practices for data modeling and schema design
- Scale data processing with cloud based analytics platforms and tools
- Understand the principles of data quality management and data governance
- Streamline code base with best practices like collaborative coding, version control, reviews and standards
- Automate and orchestrate data pipelines
- Drive business adoption with effective scoping and prioritization of analytics use cases
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.
