Data Storage, Data Warehouse, Data Lake, etc.

Data Compression is the art of reducing the number of bits needed to store or transmit data. Prior programming ability and some math skills will be needed.

A concise and accessible description of storage and information systems, filling a large gap in reference material for this critical topic area.

Storage is a huge part of the annual IT budget. For many customers it is the largest component of their IT budget. They are willing to over-spend on storage every year because they are conservative about changing the ways they do things. But, they know they have to do some things differently because their old methods don't scale (data growth year to year is the root cause and is unstoppable) There can be extremely negative exposures from downtime if storage goes haywire and customer data is lost. Hybrid cloud storage solutions provide a secure, scalable, and affordable option.

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.

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.

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.

This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems. It establishes the theoretical foundations and principles of real-time linked Dataspaces as a data platform for intelligent systems.

This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries.

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 covering design, deployment, and future directions respectively.

A comprehensive reference for the many types of Data Compression, including extensive coverage of audio and video compression, geometric compression and the edgebreaker method, and information about archiving data.

This open access book details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management.

This open access book describes warehouse-scale computers (WSCs), the computing platforms that power cloud computing and all the great web services we use every day, details the architecture of WSCs and covers the main factors influencing their design, operation, and cost structure, and the characteristics of their software base.

Unlock the full potential of the Databricks Data Intelligence Platform - your definitive guide to building enterprise-ready Generative AI (GenAI) solutions, managing complex data workflows, and deploying intelligent applications at scale.

Storage is no longer an afterthought. Too much is at stake. Companies are searching for more ways to efficiently manage expanding volumes of data, and to make that data accessible throughout the enterprise. This demand is propelling the move of storage into the network. Also, the increasing complexity of managing large numbers of storage devices and vast amounts of data is driving greater business value into software and services.