Title
The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science,Used
Delivery time: 8-12 business days (International)
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
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⚠️ 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.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is 'The Enterprise Big Data Lake' about? A: This book explores the concept of a data lake, a modern approach to managing big data, and provides insights on its implementation based on discussions with practitioners from various industries.
- Q: Who is the author of this book? A: The author is Alex Gorelik, who is the CTO and founder of Waterline Data.
- Q: When was this book published? A: The book was published on March 21, 2019.
- Q: What practical insights does the book offer? A: Readers will learn best practices for building a data lake, including how to create a self-service model and methods for data architecture.
- Q: Is this book suitable for beginners in big data? A: Yes, the book provides a succinct introduction to data warehousing, big data, and data science, making it accessible for beginners.
- Q: How many pages does the book have? A: The book contains 221 pages.
- Q: What format is the book available in? A: The book is available in paperback format.
- Q: Does this book cover real-world examples? A: Yes, it includes essays and experiences from data experts across different industries, showcasing real-world data lake initiatives.
- Q: What is the edition of this book? A: This is the first edition of 'The Enterprise Big Data Lake'.
- Q: Can this book help organizations decide on a data lake implementation? A: Absolutely, it discusses the necessity of data lakes for enterprises and guides readers on how to evaluate if it’s right for their organization.