Processing ......
Links to Free Computer, Mathematics, Technical Books all over the World
Building the Data Lakehouse
🌠 Top Free C++ Books - 100% Free or Open Source!
  • Title: Building the Data Lakehouse
  • Author(s) Bill Inmon, Mary Levins, Ranjeet Srivastava
  • Publisher: Technics Publications; First edition (October 1, 2021)
  • Paperback: 254 pages
  • eBook: PDF (240 pages) and PDF Files
  • Language: English
  • ISBN-10: 1634629663
  • ISBN-13: 978-1634629669

Book Description

The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today's complex and ever-changing analytics, machine learning, and data science requirements.

Learn about the features and architecture of the data lakehouse, along with its powerful analytical infrastructure. Appreciate how the universal common connector blends structured, textual, analog, and IoT data. Maintain the lakehouse for future generations through Data Lakehouse Housekeeping and Data Future-proofing.

Know how to incorporate the lakehouse into an existing data governance strategy. Incorporate data catalogs, data lineage tools, and open source software into your architecture to ensure your data scientists, analysts, and end users live happily ever after.

About the Authors
  • Bill Inmon, the "father of the data warehouse," has written 60 books published in nine languages. ComputerWorld named Bill one of the ten most influential people in the history of the computer profession.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Data Spaces: Design, Deployment and Future Directions

    This open access book aims to educate Data Space designers to understand what is required to create a successful data space. It arranges these contributions into three parts: design, deployment, and future directions respectively.

  • Data Hub Guide for Architects (Ken Krupa, et al.)

    What is a data hub? How does it simplify data integration? A data hub is a data store that acts as the central hub in a hub-andspoke architecture, and is powered by a multi-model database.

  • Making Sense of Stream Processing: Behind Apache Kafka

    This book shows you how stream processing can make your data storage and processing systems more flexible and less complex. It explains how these projects can help you reorient your database architecture around streams and materialized views.

  • Introduction to Storage Area Networks (Jon Tate, et al)

    This book provides an introduction to SAN and Ethernet networking, and how these networks help to achieve a smarter data center. This book is intended for people who are not very familiar with IT, or who are just starting out in the IT world.

  • Energy Efficient Servers: Blueprints for Data Center Optimization

    This book introduces power management technologies and techniques used in energy efficient servers, includes a deep examination of different features used in processors, memory, interconnects, I/O devices, and other platform components.

  • Data Storage (Florin Balasa)

    This books introduces the features, advantages, and underlying technologies associated with every current data storage option, including hard drives, DVD, CD, removable media storage systems such as Jaz and Zip, tape backup, and RAID.

  • Rethinking Enterprise Storage: A Hybrid Cloud Model (Marc Farley)

    The book explains how hybrid cloud storage changes the ways data protection is accomplished without tape backup systems; how disaster recovery works with data that is stored in the cloud; how cloud services are used to facilitate capacity management.

  • Storage Basics: Introduction to the Fundamentals of Technology

    A concise and accessible description of storage and information systems, filling a large gap in reference material for this critical topic area. Storage is one of the most basic operations performed by computers, yet it continues to evolve.

  • Data Acquisition (Michele Vadursi)

    The book is intended to be a collection of contributions providing a bird's eye view of some relevant multidisciplinary applications of data acquisition. While assuming that the reader is familiar with the basics of sampling theory and analog-to-digital conversion.

  • Data Compression Explained (Matt Mahoney)

    This book provides an extensive introduction to the theory underlying today's compression techniques with detailed instruction for their applications using several examples to explain the concepts. Prior programming ability and some math skills will be needed.

  • The Ultimate Guide to Effective Data Cleaning

    With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Experts share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.

  • Getting Started with Data Warehousing (Neeraj Sharma, et al)

    This book is for enthusiasts of data warehousing who have limited exposure to databases and would like to learn data warehousing concepts end-to-end. Learn what Data Warehousing is all about and practice using hands-on exercises.

Book Categories
Other Categories
Resources and Links