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Streaming Databases
Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases. This guide helps you: Explore stream processing and streaming databases Learn how to build a real-time solution with a streaming database Understand how to construct materialized views from any number of streams Learn how to serve synchronous and asynchronous data Get started building low-complexity streaming solutions with minimal setup
Streaming Data Mesh
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data
Black Germany
A groundbreaking account of the development of Germany's first African community, which offers fascinating perspectives on transnational German history.
Dependency Linguistics
This volume offers the reader a unique possibility to obtain a concise introduction to dependency linguistics and to learn about the current state of the art in the field. It unites the revised and extended versions of the linguistically-oriented papers to the First International Conference on Dependency Linguistics held in Barcelona. The contributions range from the discussion of definitional challenges of dependency at different levels of the linguistic model, its role beyond the classical grammatical description, and its annotation in dependency treebanks to concrete analyses of various cross-linguistic phenomena of syntax in its interplay with phonetics, morphology, and semantics, including phenomena for which classical simple phrase-structure based models have proven to be unsatisfactory. The volume will be thus of interest to both experts and newcomers to the field of dependency linguistics and its computational applications.
The Dialect Laboratory
Much theorizing in language change research is made without taking into account dialect data. Yet, dialects seem to be superior data to build a theory of linguistic change on, since dialects are relatively free of standardization and therefore more tolerant of variant competition in grammar. In addition, as compared to most cross-linguistic and diachronic data, dialect data are unusually high in resolution. This book shows that the study of dialect variation has indeed the potential, perhaps even the duty, to play a central role in the process of finding answers to fundamental questions of theoretical historical linguistics. It includes contributions which relate a clearly formulated theoretical question of historical linguistic interest with a well-defined, solid empirical base. The volume discusses phenomena from different domains of grammar (phonology, morphology and syntax) and a wide variety of languages and language varieties in the light of several current theoretical frameworks.
The Fire Within
Captures the magic and beauty of the Olympic Games.
Streaming Databases
Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases. This guide helps you: Explore stream processing and streaming databases Learn how to build a real-time solution with a streaming database Understand how to construct materialized views from any number of streams Learn how to serve synchronous and asynchronous data Get started building low-complexity streaming solutions with minimal setup
Head First Swift
What will you learn from this book? Swift is best known as Apple's programming language of choice for developing apps on iOS, iPadOS, macOS, watchOS, and tvOS. But it's far more versatile than that. Open source Swift is also gaining ground as a language for systems programming and server-side code, and it runs on Linux and Windows. So where do you start? With Head First Swift, you'll explore from the ground up: from collecting and controlling data to reusing code, producing custom data types, and structuring programs and user interfaces with SwiftUI by building safe, protocol-driven code. With Swift under your belt, you'll be ready to build everything from mobile and web apps to games, frameworks, command-line tools, and beyond. What's so special about this book? If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn Swift through a multisensory experience that engages your mind rather than a text-heavy approach that puts you to sleep.
High Performance MySQL
How can you realize MySQL's full power? With High Performance MySQL, you'll learn advanced techniques for everything from setting service-level objectives to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve your platform's full potential. This guide also teaches database administrators safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in cloud- and self-hosted MySQL, InnoDB performance, and new features and tools, this revised edition helps you design a relational data platform that will scale with your business. You'll learn best practi...
