New Report Hadoop Market 2012 - 2017 By MarketsandMarkets

(PRWEB) October 30, 2012

According to a new market research report, Hadoop Market [By Hardware (Servers, Storage & Network Equipment); By Software (Packaged, Management, Application and Performance Monitoring); By Services (Professional, Technical & Cloud)] – Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2012 – 2017), published by MarketsandMarkets (http://www.marketsandmarkets.com), the total Hadoop market is expected to reach $ 13.95 Billion by 2017 with a CAGR of 54.9%.

Browse 70+ market tables and in-depth TOC on Hadoop (Big Data & Analytics) Market [By Hardware (Servers, Storage & Network Equipment); By Software (Packaged, Management, Application and Performance Monitoring); By Services (Professional, Technical & Cloud)] – Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2012 – 2017).

http://www.marketsandmarkets.com/Market-Reports/hadoop-market-766.html

Early buyers will receive 10% customization of reports.

Apache Hadoop is a parallel distributed processing middleware technology which is applied across various industry verticals to perform Big Data analytics. Most data gathered by organizations are unstructured data. Hadoop-based applications are hence applied by organizations that need real-time analytics from data such as audio, video, email, machine-generated data from a multitude of sensors and data from external sources such as the Internet and social media. Hadoop-based applications are widely applied across business verticals with strong web-based business process for various customer related analysis such as clickstream analysis, marketing analytics, processing machine generated data, processing digital content and web text processing.

Scientific applications which require high degree of parallelism or need to operate on large volumes of data also benefit from MapReduce and Hadoop. Scientific applications are mostly used by companies in the Bioinformatics and Healthcare verticals. Hadoop applications such as HDFS, Hive, Pig, and Hbase have also been developed by Apache Software Foundation to support loading, storing, and transforming data in a Hadoop cluster. These Hadoop applications ensure that organizations across various industry verticals can undertake a smooth transition from traditional analytics towards Hadoop-based big data analytics.

The global hadoop market revenue is expected to grow from $ 1.56 billion in 2012 to $ 13.95 billion by 2017, at an estimated CAGR of 54.9% from 2012 to 2017.North America holds the largest share of the Hadoop market revenue in 2012 at $ 0.84 billion; and is expected to reach $ 6.92 billion by 2017, at a CAGR of 52.4% from 2012 to 2017.

Scope of the report

This report analyzes the Hadoop Market based on:

New Report Hadoop Market 2012 - 2017 By MarketsandMarkets

Attunity Expands Big Data Integration Offering with New Hadoop Solution to Improve Analytics and Business Insights

BURLINGTON, MA (PRWEB) November 06, 2012

Attunity Ltd. (NASDAQ: ATTU), a leading provider of information availability software solutions, announced today the release of Attunity Managed File Transfer (MFT) for Hadoop. The new generation enterprise data transfer solution is designed to accelerate Big Data collection processes and integrate them seamlessly into and out of Hadoop, the open-source programming framework for large-scale data processing. Building on the proven and enterprise-scale capabilities of Attunity MFT, the solution empowers organizations to collect and transfer Big Data in both the cloud and enterprise data centers for strategic initiatives including log and machine-data analytics, business intelligence (BI), and data archiving.

As volumes of business data continue to increase, organizations are adopting Hadoop to store, manage, and process Big Data. However, like other Big Data projects, IT organizations are struggling to efficiently and effectively move the data for BI and analytics. Similarly, organizations that are seeing Hadoop as a lower cost alternative for archiving run into the same Big Data movement challenges.

Attunity MFT for Hadoop is designed to overcome the Big Data bottleneck by providing an enterprise-scale gateway to the Hadoop Distributed File System (HDFS), a distributed file system that enables scalable storage and processing of internet-scale Big Data. The Attunity solution facilitates the process of transferring data to HDFS by providing robust capabilities including automation, scheduling, security, and auditing. Seamlessly integrated with HDFS, Attunity MFT for Hadoop enables moving data into and out of Hadoop in either batch or real time.

Attunity MFT for Hadoop features:

Attunity Expands Big Data Integration Offering with New Hadoop Solution to Improve Analytics and Business Insights

Big Data Analytics (Hadoop) Market to grow at CAGR of 54.9% to reach $13.95 Billion by 2017 by MarketsandMarkets

(PRWEB) December 03, 2012

According to a new market research report, Hadoop Market [By Hardware (Servers, Storage & Network Equipment); By Software (Packaged, Management, Application and Performance Monitoring); By Services (Professional, Technical & Cloud)] – Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2012 – 2017), published by MarketsandMarkets (http://www.marketsandmarkets.com), the total Hadoop market is expected to reach $ 13.95 Billion by 2017 with a CAGR of 54.9%.

Browse 70+ market tables and in-depth TOC on Hadoop (Big Data & Analytics) Market [By Hardware (Servers, Storage & Network Equipment); By Software (Packaged, Management, Application and Performance Monitoring); By Services (Professional, Technical & Cloud)] – Global Advancements, Business Models, Technology Roadmap, Forecasts & Analysis (2012 – 2017).

http://www.marketsandmarkets.com/Market-Reports/hadoop-market-766.html

Early buyers will receive 10% customization of reports.

Apache Hadoop is a parallel distributed processing middleware technology which is applied across various industry verticals to perform Big Data analytics. Most data gathered by organizations are unstructured data. Hadoop-based applications are hence applied by organizations that need real-time analytics from data such as audio, video, email, machine-generated data from a multitude of sensors and data from external sources such as the Internet and social media. Hadoop-based applications are widely applied across business verticals with strong web-based business process for various customer related analysis such as clickstream analysis, marketing analytics, processing machine generated data, processing digital content and web text processing.

Scientific applications which require high degree of parallelism or need to operate on large volumes of data also benefit from MapReduce and Hadoop. Scientific applications are mostly used by companies in the Bioinformatics and Healthcare verticals. Hadoop applications such as HDFS, Hive, Pig, and Hbase have also been developed by Apache Software Foundation to support loading, storing, and transforming data in a Hadoop cluster. These Hadoop applications ensure that organizations across various industry verticals can undertake a smooth transition from traditional analytics towards Hadoop-based big data analytics.

The global Hadoop market revenue is expected to grow from $ 1.56 billion in 2012 to $ 13.95 billion by 2017, at an estimated CAGR of 54.9% from 2012 to 2017.North America holds the largest share of the Hadoop market revenue in 2012 at $ 0.84 billion; and is expected to reach $ 6.92 billion by 2017, at a CAGR of 52.4% from 2012 to 2017.

Scope of the report

This report analyzes the Hadoop Market based on:

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Big Data Analytics (Hadoop) Market to grow at CAGR of 54.9% to reach $13.95 Billion by 2017 by MarketsandMarkets