Cloudera Roadmap

"The Internet World" is a series of questions that have come up since Intel announced in March this year that it was buying $740 million for big data [note] software solution provider Cloudera's 18% stake: for example, two companies have their own Apache Hadoop distributions, 　　How are the two products and services integrated? is the Legacy Apache Hadoop Intel distribution user's follow-up service guaranteed? How has Intel changed its strategy on big data? And so on. May 8, Intel and Cloudera in ...

Jointly organised by Intel Corporation and Cloudera Corporation, the joint launching ceremony and press conference on the theme "Strong alliances to focus on China's leading data" was launched in Shanghai yesterday after a successful visit to Beijing today. The two sides announced that they will continue to strengthen strategic partnership and develop collaborative innovation to further promote China's large data technology and industrial development, and better serve the Chinese market and users. As a leader in enterprise data analysis management, driven by Apache Hadoop, Cloudera plans to set up a business in China this September, which will cover straight ...

Recently, hortonworks with the data Application Platform Developer Concurrent formally established the Alliance, and as Hortonworks strong competitor Cloudera, in order to compete for more Hadoop market share also launched a series of plans, 　　Facing the 813 million dollar market in the future, both sides are committed to expand in the channel, pull into the various forces, a fierce competition is underway, the following look at the CNR's Rick Whiting for us to bring a wonderful analysis. The following is the original: C ...

Big data and Hadoop are moving in a step-by-step way to bring changes to the enterprise's data management architecture. This is a gold rush, featuring franchisees, enterprise-class software vendors and cloud service vendors, each of whom wants to build a new empire on the Virgin land. Although the Open-source Apache Hadoop project itself already contains a variety of core modules-such as Hadoop Common, Hadoop Distributed File Systems (HDFS), Hadoop yarn, and Hadoop mapreduce--...

If you have a lot of data in your hands, then all you have to do is choose an ideal version of the Hadoop release. The old rarity, once a service for Internet empires such as Google and Yahoo, has built up a reputation for popularity and popularity and has begun to evolve into an ordinary corporate environment. There are two reasons for this: one, the larger the size of the data companies need to manage, and Hadoop is the perfect platform to accomplish this task-especially in the context of the mixed mix of traditional stale data and new unstructured data;

Cloudera recently released a news article on the Rhino project and data at-rest encryption in Apache Hadoop. The Rhino project is a project co-founded by Cloudera, Intel and Hadoop communities. This project aims to provide a comprehensive security framework for data protection. There are two aspects of data encryption in Hadoop: static data, persistent data on the hard disk, data transfer, transfer of data from one process or system to another process or system ...

"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 ...

As companies begin to leverage cloud computing and large data technologies, they should now consider how to use these tools in conjunction. In this case, the enterprise will achieve the best analytical processing capabilities, while leveraging the private cloud's fast elasticity (rapid elasticity) and single lease features. 　　How to collaborate utility and implement deployment is the problem that this article hopes to solve. Some basic knowledge first is OpenStack. As the most popular open source cloud version, it includes controllers, computing (Nova), Storage (Swift), message team ...

According to the latest Forrest report, many companies are trying to tap into the vast amounts of data they have, including structured, unstructured, semi-structured, and binary data, and explore the use of large data. The following are some of the conclusions of the report: Most companies estimate that they only analyze 12% of the existing data and the remaining 88% are not fully utilized. The lack of a large number of data islands and analytical capabilities is the main cause of this situation. Another problem is how to judge whether data is valuable or not. Especially in the big data age, you have to collect and store this data. One...

At the heart of large data, Hadoop is an open source architecture for efficient storage and processing of large data. Open source start-ups Cloudera and Hortonworks have been in the market for years, with Oracle, Microsoft and others wanting to take a place in the market, 　　But more indirectly, by partnering with professional Hadoop start-ups, to compete in the marketplace. Large data core based on the latest report from Forrester Analysis, traditional technology vendors will launch a ...