(Faber Piano Adventures ). An exciting collection for the elementary pianist that offers performance pieces "with a challenge." As the title "Gold Star" suggests, these pieces are especially appropriate for recitals and other musical events. The long awaited addition to the Piano Adventures series contains songs and pieces like: Pterodactyls, Really Neat * Cartoon Stories * Squinchy-Pinchy Shoes * Roller Skate Ride * and more. Includes online access to Gold Star Performance audio for both listening and play-along.

The STAR model integrates intelligent planning with proactive doing to allow peak performance. Planning involves defining and communicating a strong strategy and sound tactics, and doing is all about taking intelligent action and getting the desired results. Excelling in the processes of both planning and doing is what it takes to achieve STAR Performance. This leadership process begins with a strategy that defines purpose, principles that establish the values that will govern our operation, and a vision for the future that inspires passion. It builds with a tactical plan that combines preparation, planning, and prioritization to set the course forward. Execution is achieved through action that involves practice, persistence in the face of adversity, and good old-fashioned perspiration. Finally, results are achieved and improved with patience, a focus on productivity, and honestly introspective probing that leads to corrective actions and improvements. When all of these elements are in place, properly communicated, and focused on the same target, the result is continually improving performance that makes the team shine like the STAR they were meant to be.

It is taken for granted in the knowledge economy that companies must employ the most talented performers to compete and succeed. Many firms try to buy stars by luring them away from competitors. But Boris Groysberg shows what an uncertain and disastrous practice this can be. Chasing Stars offers profound insights into the fundamental nature of outstanding performance. It also offers practical guidance to individuals on how to manage their careers strategically, and to companies on how to identify, develop, and keep talent. --Publisher's description.

A collection of previously published works on performance and stardom, examining the relationship between genre and performance, the position of the star within ideology, the construction of a semiotics of performance and stardom, the function of the actor within experimental or independent cinema, and the distinction between performance and everyday behavior. Annotation copyrighted by Book News, Inc., Portland, OR

This is the first book to provide in-depth coverage of star schema aggregates used in dimensional modeling-from selection and design, to loading and usage, to specific tasks and deliverables for implementation projects Covers the principles of aggregate schema design and the pros and cons of various types of commercial solutions for navigating and building aggregates Discusses how to include aggregates in data warehouse development projects that focus on incremental development, iterative builds, and early data loads

The Complete Guide to Optimizing Systems Performance Written by the winner of the 2013 LISA Award for Outstanding Achievement in System Administration Large-scale enterprise, cloud, and virtualized computing systems have introduced serious performance challenges. Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing and tuning even the most complex environments. Systems Performance: Enterprise and the Cloud focuses on Linux(R) and Unix(R) performance, while illuminating performance issues that are relevant to all operating systems. You'll gain deep insight into how systems work and perform, and learn methodologies for analyzing and improving system and application performance. Gregg presents examples from bare-metal systems and virtualized cloud tenants running Linux-based Ubuntu(R), Fedora(R), CentOS, and the illumos-based Joyent(R) SmartOS(TM) and OmniTI OmniOS(R). He systematically covers modern systems performance, including the "traditional" analysis of CPUs, memory, disks, and networks, and new areas including cloud computing and dynamic tracing. This book also helps you identify and fix the "unknown unknowns" of complex performance: bottlenecks that emerge from elements and interactions you were not aware of. The text concludes with a detailed case study, showing how a real cloud customer issue was analyzed from start to finish. Coverage includes - Modern performance analysis and tuning: terminology, concepts, models, methods, and techniques - Dynamic tracing techniques and tools, including examples of DTrace, SystemTap, and perf - Kernel internals: uncovering what the OS is doing - Using system observability tools, interfaces, and frameworks - Understanding and monitoring application performance - Optimizing CPUs: processors, cores, hardware threads, caches, interconnects, and kernel scheduling - Memory optimization: virtual memory, paging, swapping, memory architectures, busses, address spaces, and allocators - File system I/O, including caching - Storage devices/controllers, disk I/O workloads, RAID, and kernel I/O - Network-related performance issues: protocols, sockets, interfaces, and physical connections - Performance implications of OS and hardware-based virtualization, and new issues encountered with cloud computing - Benchmarking: getting accurate results and avoiding common mistakes This guide is indispensable for anyone who operates enterprise or cloud environments: system, network, database, and web admins; developers; and other professionals. For students and others new to optimization, it also provides exercises reflecting Gregg's extensive instructional experience.

Challenges traditional Hollywood-derived models of star studiesIs classical Hollywood stardom the last word on film stars? How do film stars function in non-Hollywood contexts, such as Bollywood, East Asia and Latin America, and what new developments has screen stardom undergone in recent years, both in Hollywood and elsewhere? Gathering together the most important new research on star studies, with case studies of stars from many different cultures, this diverse and dynamic collection looks at film stardom from new angles, challenging the received wisdom on the subject and raising important questions about image, performance, bodies, voices and fans in cultures across the globe. From Hollywood to Bollywood, from China to Italy, and from Poland to Mexico, this collection revisits the definitions and origins of star studies, and points the way forward to new ways of approaching the field.Key featuresFeatures cutting-edge research on stardom and fandom from a range of different cultures, contributed by a diverse and international range of scholarsGenerates new critical models that address non-Hollywood forms of stardom, as well as under-researched areas of stardom in Hollywood itselfRevisits the definitions of stars and star studies that are previously defined by the study of Hollywood stardom, then points the way forward to new ways of approaching the fieldLooks at stars/stardom within a new local/translocal model, to overcome the Hollywood-centrism inherent to the existing national/transnational modelBrings into light various types of previously unacknowledged star textsEmploys a dynamic inter-disciplinary approachContributorsGuy Austin, Newcastle UniversityLinda Berkvens, University of Sussex Pam Cook, University of Southampton Elisabetta Girelli, University of St Andrews Sarah Harman, Brunel UniversityStella Hockenhull, University of WolverhamptonLeon Hunt, Brunel University Kiranmayi Indraganti, Srishti Institute of Art, Design and TechnologyJaap Kooijman, University of AmsterdamMichael Lawrence, University of SussexAnna Malinowska, University of SilesiaLisa Purse, University of ReadingClarissa Smith, University of SunderlandNiamh Thornton, University of Liverpool Yiman Wang, University of California-Santa CruzSabrina Qiong Yu, Newcastle UniversityYingjin Zhang, University of California-San Diego