Apache Big Data Stack

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How do I pick the right big data or Hadoop platform?

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

Juniper contrail SDN Software stack to open source

According to foreign media reports, Juniper Network company in December last year to acquire 176 million U.S. dollars Software definition network (sdn,software tabbed receptacle) contrail Bae, and before that contrail company is not known to many people. Juniper Network launched its own SDN plan one months later, and released the beta code this May. Now that part of the code is ready for a formal launch, the Juniper Network has announced that it will be available to users in open source licensing mode. ...

Stack contention for three open source cloud platforms

OpenStack has a very high popularity, Cloudstack has plenty of money, Eucalyptus and Amazon established a close relationship. OpenStack, created jointly by Rackspace and NASA in 2010, is undoubtedly highly popular. Now it has established partnerships with giants such as At&t, IBM and Hewlett-Packard, who are committed to OpenStack as the basis for their private cloud solutions. Another open source Cloud platform Cloudsta ...

The father of Hadoop outlines the future of big data platforms

"Big data is not hype, not bubbles. Hadoop will continue to follow Google's footsteps in the future. "Hadoop creator and Apache Hadoop Project founder Doug Cutting said recently. As a batch computing engine, Apache Hadoop is the open source software framework for large data cores. It is said that Hadoop does not apply to the online interactive data processing needed for real real-time data visibility. Is that the case? Hadoop creator and Apache Hadoop project ...

2014 China Large Data technology conference successfully ended

December 2014 12-14th, as the most influential and largest it event in the field of data--2014 China large Data technology conference and the second CCF large data academic conference in Beijing new Yunnan Crowne Plaza Hotel successfully ended. The conference lasted three days, with an international perspective, the paper shares the development trend of large data technology at home and abroad, and probes into the application and practical experience of "large data ecosystem", "Big Data Technology", "large Data Application" and "large data infrastructure" from the angle of technology and practice, and through innovative competitions and training courses Decryption Big Data startup heat ...

Big Data Doomsday omens or big business opportunities?

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

"Book pick" large data development of the first knowledge of Hadoop

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

2014 China Large Data technology conference successfully ended

December 2014 12-14th, as the most influential and largest it event in the field of data--2014 China large Data technology conference and the second CCF large data academic conference in Beijing new Yunnan Crowne Plaza Hotel successfully ended. The conference lasted three days, with an international perspective, the paper shares the development trend of large data technology at home and abroad, and probes into the application and practical experience of "large data ecosystem", "Big Data Technology", "large Data Application" and "large data infrastructure" from the angle of technology and practice, and through innovative competitions and training courses Decryption Big Data startup heat ...

Translating large data into large value practical strategies

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Sweep 13 Open source Java Large data tools, from theory to practice analysis

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

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