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The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science,Used
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The data lake is a daring new approach for harnessing the power of big data technology and providing convenient selfservice capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from datadriven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. Youll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book.Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, youll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a selfservice model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the page count of the book? A: The book has two hundred twenty-one pages. It provides an in-depth exploration of data lakes and their implementation.
- Q: What is the binding type of this book? A: The book is available in paperback binding. This makes it lightweight and easy to handle for reading.
- Q: What are the dimensions of the book? A: The book measures seven point zero one inches in length, zero point seventy-five inches in width, and nine point twenty-five inches in height. These dimensions make it convenient for storage on bookshelves.
- Q: How do I best utilize this book? A: You can use this book as a guide for implementing a data lake in your organization. It includes best practices and insights from industry experts.
- Q: Is this book suitable for beginners in data science? A: Yes, this book is suitable for beginners. It provides a succinct introduction to data warehousing, big data, and data science.
- Q: Can I use the book for academic purposes? A: Yes, it can be used for academic purposes. It discusses data lake concepts that are applicable in both corporate and educational settings.
- Q: How should I store this book? A: Store the book in a cool, dry place to maintain its quality. Avoid exposing it to direct sunlight to prevent fading.
- Q: Are there any specific care instructions for this book? A: Handle the book carefully to avoid bending or tearing pages. Keeping it in a protective cover can also help preserve its condition.
- Q: Does this book contain any sensitive content? A: No, the book does not contain sensitive content. It focuses on data management strategies suitable for various organizations.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact customer support for a return or exchange. Most sellers have policies in place for damaged items.
- Q: Is there a warranty for this book? A: No, there is typically no warranty for books. However, you can check the return policy with the seller.
- Q: How can I contact support if I have questions? A: You can contact customer support through the seller’s website or the platform where you purchased the book. They should provide assistance with your inquiries.
- Q: Does this book compare well with others in data science? A: Yes, this book is highly regarded for its insights into data lake implementation compared to other data science books. It features contributions from experts across various industries.
- Q: Is this book appropriate for professionals in technology? A: Yes, the book is appropriate for technology professionals. It contains advanced insights and best practices for implementing data lakes.
- Q: How does the author's expertise contribute to the book? A: The author, Alex Gorelik, is a CTO and founder of Waterline Data. His expertise provides credibility and valuable insights into data management.
- Q: What themes are explored in this book? A: The book explores themes such as data lakes, big data, data science, and best practices for successful implementation in enterprises.