Intel Books

If you've designed your SQL code intelligently and implemented a sensible indexing strategy, there's a good chance your queries will "fly", when tested in isolation. In the real world, however, where multiple processes can access the same data at the same time, SQL Server often has to make one process wait, sacrificing concurrency and performance i

More than 100 Azure services offer everything you need to build and run your applications with all the performance, redundancy, security, and scale that the cloud has to offer. But knowing where to begin with all these services can seem overwhelming. Learn Azure in a Month of Lunches, 2nd Edition, is a tutorial on writing, deploying, and running ap

This guide is a practical introduction to web application development with Spring Boot and Vaadin. It covers the entire development process, from setup to deployment, following a step-by-step approach. You can replicate each section at your own pace as you follow along. The content is suitable for anyone familiar with Java who wants to build a web

Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behav

Extract, transform, load (ETL) is at the center of every application of data, from business intelligence to AI. Constant shifts in the data landscape - including the implementations of lakehouse architectures and the importance of high-scale real-time data - mean that today's data practitioners must approach ETL a bit differently. This updated tech

With the big data boom, the rise of the Internet of Things (IoT), and the development of artificial intelligence (AI) applications, we've entered a new era of smart data. Unfortunately, not many enterprises are ready for it. Some companies are deficient in data management, while others lack standard data engineering systems. Some simply lag behind

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple acc

Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important. The authors have include

How can you ensure that your data is in optimal condition to support your specific business initiatives and operations? With this report from AWS, C-suite executives, including CDOs, CAOs, CISOs, and CSOs, will gain insights on how a targeted approach to data governance can enhance data curation, discovery, protection, and sharing capabilities. Our

A modern practical book about cryptography for developers with code examples, covering core concepts like: hashes (like SHA-3 and BLAKE2), MAC codes (like HMAC and GMAC), key derivation functions (like Scrypt, Argon2), key agreement protocols (like DHKE, ECDH), symmetric ciphers (like AES and ChaCha20, cipher block modes, authenticated encryption,