Product Details
Book
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ISBN-10: 0-13-381102-6
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ISBN-13: 978-0-13-381102-5
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Copyright 2016
- Dimensions: 7" x 9-1/8"
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Pages: 480
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Edition: 1st
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:
- 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 platform
- 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
About the Author George J. Trujillo, Jr. is an
experienced corporate executive with exceptional communication skills.
He is an expert in change management with strong leadership skills,
critical thinking, and data-driven decisions. George is an
internationally recognized data architect, leader, and speaker in big
data and cloud solutions. His background includes Big Data Architecture,
Hadoop (Hortonworks, Cloudera), data governance, schema design,
metadata management, security, NoSQL, and BI. He has many industry
recognitions, including Oracle Recognized Double ACE, Sun Ambassador for
Sun Microsystem’s Application Middleware Platform, VMware Recognized
vExpert, VMware Certified Instructor, MySQL’s Socrates Award, and MySQL
Certified DBA. His leadership in the user community includes Independent
Oracle Users Group (IOUG) board of directors, president of IOUG Cloud
SIG, chair for RMOUG Big Data SIG, president of RMOUG Cloud SIG, Oracle
Fusion Council and Oracle Beta Leadership Council, IOUG’s Elected to
“Oracles of Oracle” circle, and master presenter for the IOUG’s Master
Series. His many job positions have included vice president of big data
architecture in the financial services industry, master principal big
data specialist at Hortonworks, tier one data specialist for VMware
Center of Excellence, and CEO for professional services and training
organization.
Charles Kim
is the president of Viscosity North America, a niche consulting
organization specializing in big data, Oracle Exadata/RAC, and
virtualization. Charles is an architect in Hadoop/big data, Linux
infrastructure, cloud, virtualization, engineered systems, and Oracle
clustering technologies. Charles is an author with Oracle Press,
Pearson, and APress in Oracle, Hadoop, and Linux technology stacks. He
holds certifications in Oracle, VMware, Red Hat Linux, and Microsoft and
has more than 23 years of IT experience on mission- and
business-critical systems.
Charles
presents regularly at VMworld, Oracle OpenWorld, IOUG, and various
local/regional user group conferences. He is an Oracle ACE director,
VMware vExpert, Oracle Certified DBA, Certified Exadata Specialist, and a
Certified RAC Expert. Charles’s books include the following:
- Oracle Database 11g New Features for DBA and Developers
- Linux Recipes for Oracle DBAs
- Oracle Data Guard 11g Handbook
- Virtualizing Business Critical Oracle Databases: Database as a Service
- Oracle ASM 12c Pocket Reference Guide
- Expert Exadata Handbook
Charles
is the president of the Cloud Computing (and Virtualization) SIG for
the Independent Oracle User Group. Charles blogs regularly at the
DBAExpert.com/ blog site.
Steven Jones
is a 16-year veteran of technical training with experience in UNIX,
networking, database technology, virtualization, and big data. Steven
works at VMware as a VMware Certified Instructor; VCA; VCP 4, 5, 6; and
vExpert 2014, 2015. He is a coauthor of
Virtualize Oracle Business Critical Databases: Database Infrastructure as a Service,
by Charles Kim, George Trujillo, Steven Jones, and Sudhir
Balasubramanian 2014 iBooks. He was a speaker for VMworld 2013
Virtualizing Mission Critical Oracle RAC with vC Ops, San Francisco and
Barcelona, and a co-speaker worldwide for VMware Education SDDC
Intensive Workshop. Steven seeks to bring innovation, analogy, and
narrative to understanding and mastering information technology as a
service.
Rommel Garcia
is a senior solutions engineer at Hortonworks, a leading open source
company driving the adoption of Hadoop. Rommel has spent the past few
years focusing on the design, installation, and deployment of
large-scale Hadoop ecosystems. He has helped organizations implement
security best practices and guidelines for Hadoop platforms. He has
performance tuned Hadoop clusters ranging from fast-growing startups to
Fortune 100 organizations. Rommel is a nationally recognized speaker at
Hadoop and big data conferences. He is also well known for his expertise
in performance tuning Java applications and middle-tier platforms. He
has a BS in electronics engineering and an MS degree in computer
science. Rommel resides in Atlanta with his wife, Elizabeth, and his
children, Mila and Braden.
Justin Murray
is a senior technical marketing architect at VMware. He holds a BA and a
post-graduate diploma in computer science from University College Cork
in Ireland. Justin has worked in software engineering, technical
training, and consulting in various companies in the UK and the United
States. Since 2007, he has been working with VMware’s partner companies
to validate and optimize big data and other next-generation application
workloads on VMware vSphere.
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