Real Time Analytics With Apache Storm

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

Hadoop is often identified as the only solution that can help you solve all problems. When people refer to "Big data" or "data analysis" and other related issues, they will hear an blurted answer: hadoop! Hadoop is actually designed and built to solve a range of specific problems. Hadoop is at best a bad choice for some problems. For other issues, choosing Hadoop could even be a mistake. For data conversion operations, or a broader sense of decimation-conversion-loading operations, E ...

The recent investment in cloud computing by major giants has been very active, ranging from cloud platform management, massive data analysis, to a variety of emerging consumer-facing cloud platforms and cloud services. And the large-scale data processing (Bigdata 處理) technology which is represented by Hadoop makes "Business king" Change to "data is king". The prosperity of the Hadoop community is obvious. 　　More and more domestic and foreign companies are involved in the development of the Hadoop community or directly open the software that is used online. The same year with ...

Absrtact: 7 years ago, one of the ideas, the success of today's popular social network and microblogging service--twitter. Twitter now has more than 200 million monthly active subscribers, and about 500 million tweets are sent every day. 　　Behind all this is the support of a large number of open source projects. Twitter, known as the "Internet SMS Service", allows users to post no more than 140 tweets, the idea from Twitter's co-founder, Jack Dorsey, which was dubbed "the dumbest Ever" by analysts 7 years ago ...

The recent investment in cloud computing by major giants has been very active, ranging from cloud platform management, massive data analysis, to a variety of emerging consumer-facing cloud platforms and cloud services. And the large-scale data processing (Bigdata 處理) technology which is represented by Hadoop makes "Business king" Change to "data is king". The prosperity of the Hadoop community is obvious. More and more domestic and foreign companies are involved in the development of the Hadoop community or directly open the software that is used online. And go ...

From 2008 only 60 people attended the technical salon to the present thousands of people technical feast, as the industry has a very practical value of the professional Exchange platform, has successfully held the seven China large Data technology conference faithfully portrayed a large data field in the technical hot spot, precipitated the industry's actual combat experience, witnessed the development and evolution of the whole large data ecological circle technology. December 12-14th, hosted by the China Computer Society (CCF), CCF large data expert committee, the Institute of Computing Technology of the Chinese Academy of Sciences and CSDN co-organized the 2014 China Large Data Technology conference (Big&n ...

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

The Apache Software Foundation has officially announced that Spark's first production release is ready, and this analytics software can greatly speed up operations on the Hadoop data-processing platform. 　　As a software project with the reputation of a "Hadoop Swiss Army Knife", Apache Spark can help users create performance-efficient data analysis operations that are faster than they would otherwise have been on standard Apache Hadoop mapreduce. Replace MapReduce ...

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 ...

In large data projects, the full release of data value is often an important but complex goal. As I mentioned in the Enterprise deployment Hadoop solution (putting Hadoop to Work in the Enterprise), the Data warehouse is an important part of the [Big Data] puzzle ... 　　But successful big data projects need to integrate Hadoop, NoSQL and other open source platforms. To complete the large data puzzle, Teradata company recently announced the acquisition of Revelytix (development of H ...