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[PDF] Download Big Data Made Easy: A
Working Guide to the Complete Hadoop
Toolset Full
Many corporations are finding that the
size of their data sets are outgrowing
the capability of their systems to store
and process them. The data is
becoming too big to manage and use
with traditional tools. The solution:
implementing a big data system.As
Big Data Made Easy: A Working
Guide to the Complete Hadoop
Toolset shows, Apache Hadoop offers
a scalable, fault-tolerant system for
storing and processing data in
parallel. It has a very rich toolset that
allows for storage (Hadoop),
configuration (YARN and ZooKeeper),
collection (Nutch and Solr),
processing (Storm, Pig, and Map
Reduce), scheduling (Oozie), moving
(Sqoop and Avro), monitoring
(Chukwa, Ambari, and Hue), testing
(Big Top), and analysis (Hive).The
problem is that the Internet offers IT
pros wading into big data many
versions of the truth and some outright
falsehoods born of ignorance. What is
needed is a book just like this one: a
wide-ranging but easily understood
set of instructions to explain where to
get Hadoop tools, what they can do,
how to install them, how to configure
them, how to integrate them, and how
to use them successfully. And you
need an expert who has worked in this
area for a decade--someone just like
author and big data expert Mike
Frampton.Big Data Made Easy
approaches the problem of managing
massive data sets from a systems
perspective, and it explains the roles
for each project (like architect and
tester, for example) and shows how
the Hadoop toolset can be used at
each system stage. It explains, in an
easily understood manner and
through numerous examples, how to
Description
Many corporations are finding that the size of their data sets are outgrowing the capability of their
systems to store and process them. The data is becoming too big to manage and use with
traditional tools. The solution: implementing a big data system.As Big Data Made Easy: A Working
Guide to the Complete Hadoop Toolset shows, Apache Hadoop offers a scalable, fault-tolerant
system for storing and processing data in parallel. It has a very rich toolset that allows for storage
(Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm,
Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa,
Ambari, and Hue), testing (Big Top), and analysis (Hive).The problem is that the Internet offers IT
pros wading into big data many versions of the truth and some outright falsehoods born of
ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of
instructions to explain where to get Hadoop tools, what they can do, how to install them, how to
configure them, how to integrate them, and how to use them successfully. And you need an expert
who has worked in this area for a decade--someone just like author and big data expert Mike
Frampton.Big Data Made Easy approaches the problem of managing massive data sets from a
systems perspective, and it explains the roles for each project (like architect and tester, for
example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an
easily understood manner and through numerous examples, how to use each tool. The book also
explains the sliding scale of tools available depending upon data size and when and how to use
them. Big Data Made Easy shows developers and architects, as well as testers and project
managers, how to:Store big dataConfigure big dataProcess big dataSchedule processesMove
data among SQL and NoSQL systemsMonitor dataPerform big data analyticsReport on big data
processes and projectsTest big data systemsBig Data Made Easy also explains the best part,
which is that this toolset is free. Anyone can download it and--with the help of this book--start to
use it within a day. With the skills this book will teach you under your belt, you will add value to
your company or client immediately, not to mention your career.
Details
Author : Michael Frampton
●
Pages : 392 pages
●
Publisher : Apress
●
Language :
●
ISBN-10 : 1484200950
●
ISBN-13 : 9781484200957
●
Image Book
Download Book
If you want to download this books , please click button DOWNLOAD or Click Link
Link Download [PDF] Download Big Data Made Easy: A Working Guide to the Complete Hadoop
Toolset Full

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Big data-made-easy-a-working-guide-to-the-complete-hadoop-toolset

  • 1. [PDF] Download Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset Full Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.As Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade--someone just like author and big data expert Mike Frampton.Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to
  • 2. Description Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.As Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade--someone just like author and big data expert Mike Frampton.Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:Store big dataConfigure big dataProcess big dataSchedule processesMove data among SQL and NoSQL systemsMonitor dataPerform big data analyticsReport on big data processes and projectsTest big data systemsBig Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and--with the help of this book--start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.
  • 3. Details Author : Michael Frampton ● Pages : 392 pages ● Publisher : Apress ● Language : ● ISBN-10 : 1484200950 ● ISBN-13 : 9781484200957 ●
  • 5. Download Book If you want to download this books , please click button DOWNLOAD or Click Link Link Download [PDF] Download Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset Full