Cloudera Stack

Recently, Dell announced a new partnership with Cloudera to join the increasingly large Apache Hadoop club. Cloudera was the first commercial deployment of the open source data analysis suite, detached from Yahoo's research and development department in 2006. Dell will provide the next generation of PowerEdge C servers and network components, channels, and sales networks to refine new deployments. These services include Dell's management tools, training, technical support, and other professional services. "This is ..." said John Igoe, executive director of Dell Cloud Solutions.

April 19, 2014 Spark Summit China 2014 will be held in Beijing. The Apache Spark community members and business users at home and abroad will be gathered in Beijing for the first time. Spark contributors and front-line developers from AMPLab, Databricks, Intel, Taobao, NetEase, and others will share their Spark project experience and best practices in production environments. MapR is well-known Hadoop provider, the company recently for its Ha ...

Engineer,michael Stack LinkedIn has the largest number of job descriptions in his CV, and "Engineer" is the data-field veteran's evaluation of himself. 　　When we learn more about Michael, we find that he does not need words like "Leader" or "Senior". As a native database of Hadoop, HBase is widely found in the architecture of large data analysis system. However, the official Apache team of engineers is still inadequate ...

BEIJING, November 27, 2013 Oracle Large Data Machine x4-2 is now available, it provides a comprehensive and secure integrated system for the enterprise, for the operation of large data-oriented Cloudera overall platform and Cloudera enterprise to achieve optimization, reduce the total cost of ownership. Oracle Large Data Machine x4-2, Oracle large data connectors and Oracle Exadata comprise a comprehensive and integrated platform for large data. Oracle recently announced the introduction of Oracle Large Data machine x4-2 ...

"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 ...

"Tenkine Server channel November 27 message" Oracle recently announced the introduction of Oracle Large Data Machine x4-2, which provides the entire Cloudera enterprise technology stack and more than 33% of storage capacity, up to 864TB per rack. Oracle Large Data Machine x4-2 is a comprehensive large data platform optimized for batch processing and real-time processing by using Cloudera distributions for Apache Hadoop, Oracle nosql databases, Cloudera Impala, and C ...

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;

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--...

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 ...

The Apache Haddo is a batch computing engine that is the open source software framework for large data cores. Does Hadoop not apply to online interactive data processing needed for real real-time data visibility? Doug Cutting, founder of the Hadoop creator and Apache Hadoop project (also the Cloudera company's chief architect), says he believes Hadoop has a future beyond the batch process. Cutting says: "Batch processing is useful, for example you need to move ...