Posted by jaymepobre748 February - 20 - 2016 ADD COMMENTS

Kick Start: Hadoop: Learn Hadoop in Hours!

Kick Start: Hadoop: Learn Hadoop in Hours!

Kick Start: Hadoop is an e-book on the Hadoop Technology. The focus of the kick start series is to provide a very fast entry into a new technology. This e-book is useful if you need to build up knowledge on Hadoop within hours and don’t want to spend weeks learning the content. The e-book is useful for consultants, managers, trainers, students and sales staff, that need an overview of all Hadoop technologies but don’t need to understand the technical details. This book is all about get you start

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Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scald

$97.01
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Hadoop: The Definitive Guide: By Tom White
$38.78
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Posted by admin February - 13 - 2016 ADD COMMENTS

Hadoop eBay auctions you should keep an eye on:

Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and

$45.38
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Hadoop - the Definitive Guide 4e by Tom White (English) Paperback Book
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Posted by admin February - 9 - 2016 ADD COMMENTS

Splice Machine bags m to fund RDBMS on Hadoop and Spark
Splice Machine has secured $ 9m in C-round funding to carry on splicing Hadoop and relational database management system (RDBMS) technologies together. Total funding is now $ 31m and the extra cash will pay for accelerated product, sales and …
Read more on The Register

Hortonworks takes Beabloo's raw data to Hadoop and back for massive analytics
Intelligence from the data is displayed through dashboards with heat maps, detailed zone analysis and personalised KPIs. Hortonworks is one of the major players in the Hadoop space and has created a fully open source Apache Hadoop data platform.
Read more on Computer Business Review

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Posted by BlairMABEL25 February - 6 - 2016 ADD COMMENTS

Hadoop Survey Shows Spark Coming of Age in 2016
Apache Spark, which has been shaking up the Apache Hadoop ecosystem for a couple years now, will come of age this year, moving from a talking point into enterprise deployment, according to a new Hadoop survey from Syncsort Inc. Interest in Spark …
Read more on ADT Magazine

Picking the Right SQL-on-Hadoop Tool for the Job
SQL is, arguably, the biggest workload many organizations run on their Hadoop clusters. And there's good reason why: The combination of a familiar interface (SQL) along with a modern computing architecture (Hadoop) enables people to manipulate and …
Read more on Datanami

3 Ways Hadoop Can Minimize Security Risks
According to Ted Dunning, chief application architect at MapR Technologies, it's possible to get in front of attacks by analyzing all network event data with tools such as Apache Spark running on a real-time Hadoop platform, and to do so economically.
Read more on IT Business Edge

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Posted by jaymepobre748 December - 26 - 2015 ADD COMMENTS

Vormetric Partners with Hortonworks to Protect Enterprise Hadoop Big Data
Vormetric enables application developers to encrypt sensitive data in order to have final granularity of security, Kamaraju said. “We offer our portfolio of solutions in the data security and protections space across a diverse set of applications for …
Read more on Database Trends and Applications

Cloudera Deepens Integration of Spark with Hadoop
Cloudera, focused on big data and Apache Hadoop, has announced that it has further matured Apache Spark integration within Hadoop environments. Spark and Hadoop are both flourishing on the big data scene. To further expand the enterprise capabilities …
Read more on OStatic (blog)

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Posted by BlairMABEL25 December - 12 - 2015 ADD COMMENTS


Hadoop Application Architectures – Big data
from Big data
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Posted by jaymepobre748 December - 8 - 2015 ADD COMMENTS

Spark speeds up SQL on Hadoop in Splice Machine 2.0
Also on InfoWorld: Apache Hive brings real-time queries to Hadoop as the perfect partner for an enterprise data warehouse. | Cut to the key news in technology trends and IT breakthroughs with the InfoWorld Daily newsletter, our summary of the top tech …
Read more on InfoWorld

Wikibon survey shows Hadoop making steady progress
The 2015 edition of the Wikibon Big Data survey shows companies making steady progress in adoption of Hadoop and associated technologies, writes Wikibon Big Data Analyst George Gilbert. In the 18 months since the last survey, the number of survey …
Read more on SiliconANGLE (blog)

Looking at Spark from a Hadoop Lens
Considering Hadoop and Spark is not an either-or question. Many companies use both frameworks, especially if there is an existing Hadoop installation. Spark is quite data agnostic as it can access data in HDFS, Cassandra, HBase, Hive, Tachyon, and any …
Read more on insideBIGDATA

IBM Secures Hadoop in Analytics Cloud
IBM has added end-to-end data protection to IBM Cloud Infrastructure for Analytics, its cloud-based offering designed to ease the significant investment burden required for implementing homegrown, on-premises Big Data solutions. Called Secure Hadoop …
Read more on ADT Magazine

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Posted by BlairMABEL25 November - 24 - 2015 ADD COMMENTS

Have you ever faced issues within your enterprise because the data is not updated or you are unable to manage it well? No matter whether you are a small business or an already established one, data management is the most important factor in increasing your enterprise’s work efficiency. There are numerous ways of managing data within any enterprise; however, some do not provide the expected results and others are extremely expensive. This is where open source technology of Hadoop comes in to the limelight.

Hadoop MapReduce is an open source software framework that is known to divide various types of large data clusters in to numerous small parts so that the management of data becomes easy. If used efficiently, this framework can help you manage the data well and can work as a boon for your enterprise. In a particular set-up where there is large amount of data along with huge network, it becomes important for an enterprise to distribute it in the best possible manner so that it can be used properly.

In such situation, Hadoop Distributed File System (HDFS) is definitely needed in order to manage the data within any enterprise well. The process usually termed as a huge-scale bath processing infrastructure that is considered to be extremely helpful for the overall set-up that has numerous computers connected to each other. While the process can easily be used on a particular machine, it definitely requires the experience of the power of a particular system. During this time, it is important for the user to use the system on any network where thousands of computers are easily available.

In any such huge network, where the distribution of overall data is required but it is a difficult task, Hadoop MapReduce technology can help because it is so well designed that it efficiently distributes the complete data across various networks. A lot of efforts are usually involved in making of this type of efficient software systems and also takes years in developing all these magical instruments that ease out the work process and efficiently bring better efficiency in various business outcomes.

Hadoop Distributed File System has the capability to store various types of vast quantities of information that can easily be processed regardless of the operating system that you are using. It also has a unique feature of Hadoop ecosystem that provides various addictive abilities to all your distributed systems completely. Get Hadoop tutorials to make the most out of Hadoop technology.

This article has been written by Alfrid Desouza. He wants to aware people about Haddop technology, it is highly advisable to go for Hadoop tutorials online in order to make the most of this technology. For more information, Read this article.

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Posted by admin October - 31 - 2015 ADD COMMENTS

Some recent Hadoop auctions on eBay:

Hadoop Operations: A Guide for Developers and Administrators by Eric Sammer (Eng

$54.69
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Pro Hadoop 2 by Jason Venner (English) Paperback Book
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Posted by mod198 October - 13 - 2015 ADD COMMENTS

Hadoop eBay auctions you should keep an eye on:

Field Guide to Hadoop by Marshall Presser (English) Paperback Book

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Real-World Hadoop by Ted Dunning (English) Paperback Book
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