Virtualizing Hadoop: How to Install, Deploy, and Optimize Hadoop in a Virtualized Architecture

Virtualizing Hadoop – هادوپ یک چارچوب نرم‌افزاری منبع‌باز است که پردازش توزیع‌شده‌ ‌داده‌های بزرگ را بر روی خوشه‌هایی از سرورها ممکن می‌سازد. این چارچوب که به زبان جاوا نوشته شده است، برای انجام پردازش توزیع شده بر روی هزاران ماشین با تحمل‌پذیری خطای بالا طراحی شده است. به جای تکیه بر سخت‌افزار‌های گران‌قیمت، تحمل‌پذیری در مقابل خطا در این خوشه‌ها از توانایی نرم‌افزاری در تشخیص و اداره‌ی خرابی‌ در لایه کاربرد می‌آید. امروزه هدوپ بصورت وسیعی و در زمینه های بسیاری از فعالیتهای دانشگاهی تا تجارت ، از علوم تا نجوم مورد استفاده قرار می گیرد . هدوپ مکانی امن برای ذخیره و تحلیل داده های کلان بشمار می رود ، مقیاس پذیر، توسعه پذیر و متن باز است . هدوپ هدف اصلی کمپانی های بزرگ تولید و ذخیره داده هاست از جمله Facebook ، IBM ، EMC ، Oracle و Microsoft است.

Copyright 2016
Edition: 1st
Price: $39.99
Format: AZW3, PDF Convert
ISBN-10: 0-13-381102-6
ISBN-13: 978-0-13-381102-5
By: George Trujillo, Charles Kim, Steve Jones, Rommel Garcia, Justin Murray
Publisher: VMware Press

Plan and Implement Hadoop Virtualization for Maximum Performance, Scalability, and Business Agility

Enterprises running Hadoop must absorb rapid changes in big data ecosystems, frameworks, products, and workloads. Virtualized approaches can offer important advantages in speed, flexibility, and elasticity. Now, a world-class team of enterprise virtualization and big data experts guide you through the choices, considerations, and tradeoffs surrounding Hadoop virtualization. The authors help you decide whether to virtualize Hadoop, deploy Hadoop in the cloud, or integrate conventional and virtualized approaches in a blended solution.

First, Virtualizing Hadoop reviews big data and Hadoop from the standpoint of the virtualization specialist. The authors demystify MapReduce, YARN, and HDFS and guide you through each stage of Hadoop data management. Next, they turn the tables, introducing big data experts to modern virtualization concepts and best practices.

Finally, they bring Hadoop and virtualization together, guiding you through the decisions you’ll face in planning, deploying, provisioning, and managing virtualized Hadoop. From security to multitenancy to day-to-day management, you’ll find reliable answers for choosing your best Hadoop strategy and executing it.

Coverage includes the following Virtualizing Hadoop :

• Reviewing the frameworks, products, distributions, use cases, and roles associated with Hadoop
• Understanding YARN resource management, HDFS storage, and I/O
• Designing data ingestion, movement, and organization for modern enterprise data platforms
• Defining SQL engine strategies to meet strict SLAs
• Considering security, data isolation, and scheduling for multitenant environments
• Deploying Hadoop as a service in the cloud
• Reviewing the essential concepts, capabilities, and terminology of virtualization
• Applying current best practices, guidelines, and key metrics for Hadoop virtualization
• Managing multiple Hadoop frameworks and products as one unified system
• Virtualizing master and worker nodes to maximize availability and performance
• Installing and configuring Linux for a Hadoop environment