Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data
Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You’ll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure. With this book, you will: Learn how to use basic Kubernetes resources to compose data infrastructure Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operators Evaluate and select data infrastructure technologies for use in your applications Integrate data infrastructure technologies into your overall stack Explore emerging technologies that will enhance your Kubernetes-based applications in the future
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
*Will significantly increase developer and manager effectiveness using this complex technology *Authors convey proven track record with the technology *This is among the first (if not the first) VSTS book on the market
Updated to include coverage of the latest ‘DBPro’ extension for database professionals this book is the only reference needed to get started with Visual Studio 2005 Team System. It will guide you through the entire breadth of VSTS. If you are a stakeholder, you have a portal that gives you instant access to project documents, status, and performance indicators. If you are a project manager, you will learn how create, manage, and assess team performance. If you are a developer, you will learn how to write higher-quality code, and ensure that the code works and performs well.
The new IB Middle Years Programme (MYP) curriculum for 11 to 16 year olds came into effect in September 2014 and will strengthen the IB's continuum of learning. This edited collection will provide support for all those involved in the current period of preparation for implementation of the new programme. The chapters are written by experienced practitioners from a range of relevant standpoints about different aspects of the MYP. MYP - New Directions examines the changes to the programme that have been introduced as well as those that are currently in progress, and highlights challenges and opportunities for the future. Contributors: Judith Fabian, Conrad Hughes, Alexandra Holland, Lance King, Marjorie Lope, Patricia Villegas, Gareth Hegarty, Hege Myhre, Michael Huber, Oyndrilla Mukherjee, Anthony Hemmens, and Gillian Ashworth.
Decorative plasterwork was created by skilled craftsmen, and for over four hundred years it has been an essential part of the interior decoration of the British country house. In this detailed and comprehensive study, Geoffrey Beard has created a book that will delight the eye and inform the interested reader. For those who have sometimes been puzzled by the complexities of plaster decoration it will be a most useful work of reference on a fascinating art form, about which no book has been published for nearly fifty years. After discussing the part that patrons played in commissioning and financing these beautiful decorations, a useful chapter is devoted to materials and methods of work and here the author describes the ingredients of good plaster; he has studied the work of present-day English plasterers and Swiss stucco-restorers in order to establish precisely how the materials of plaster and stucco were composed and used.
GNVQ Construction and the Built Environment: Intermediate provides essential coverage of the general skills, knowledge and understanding required for the four mandatory units in the Intermediate GNVQ. The book covers all the underpinning knowledge the student needs to know to satisfy the evidence indicators of the course and this is reinforced by worked examples, short answer questions as well as some more detailed assignments. This second edition has been revised in line with the 1997 content revision. Each chapter is written around the specifications of one unit and includes: brief introduction key areas covered by the chapter list of key learning objectives, drawn from the performance criteria key terms picked out in bold type, and included in glossary student tasks interspersed throughout the text improved integration of key skills While the text is primarily designed to satisfy the requirements of the Intermediate GNVQ course, it can also be used as a reference source at Foundation level.
Explore Boise's Bloody History! Shortly after the nearby discovery of gold in 1862, outlaws and ruffians from all over began to congregate in newly platted Boise City. One of the city's only recorded pistol duels settled a dispute between a covetous husband and the lover of a young damsel--both happened to be lawyers. After getting busted running a long con, the King of Boise's Underworld was sent to the penitentiary. What could be called the area's first mass shooting occurred when an Alaskan gold miner sought revenge against the young woman who stood him up. A local postmaster found himself in a notorious case of a love triangle gone wrong. And, a death cult returned the mummy of one of its followers to Boise. Authors Mark Iverson and Jeff Wade go beyond the traditional histories to gain an appreciation for the lives often willfully removed from history's pages and thus forgotten.
This book encourages readers to think about and discuss the purpose of education. It provides an opportunity to consider how the way in which purposes are framed has consequences for student-teacher relationships and teacher-administrator relationships. The author introduces a moral/ethical dimension into the consideration of purposes—Why would anyone do that to kids? This book suggests that failure to reflect on the purpose of education underlies the lack of impact of many education reform efforts. The author presents a fictional roundtable discussion of educational issues. The participants include teachers, school administrators, state politicians and bureaucrats, parents, community members, and business people.
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition--updated for Cassandra 3.0--provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's non-relational design, with special attention to data modeling. If you're a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh--the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You’ll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure. With this book, you will: Learn how to use basic Kubernetes resources to compose data infrastructure Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operators Evaluate and select data infrastructure technologies for use in your applications Integrate data infrastructure technologies into your overall stack Explore emerging technologies that will enhance your Kubernetes-based applications in the future
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