Couchbase Big Data

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

The appearance of MapReduce is to break through the limitations of the database. Tools such as Giraph, Hama and Impala are designed to break through the limits of MapReduce. 　　While the operation of the above scenarios is based on Hadoop, graphics, documents, columns, and other NoSQL databases are also an integral part of large data. 　　Which large data tool meets your needs? The problem is really not easy to answer in the context of the rapid growth in the number of solutions available today. Apache Hado ...

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

In 2013, "Big Data" replaced "cloud computing" as the most sought-after it hot word. 　　However, this technology concept is still a long way from vigorous application. Over the past year, large data has been mentioned frequently on a wide variety of occasions, and the technical conference on large data subjects is your song. According to the technology maturity curve of the research institute Gartner, the big data at this stage are climbing to the peak of the so-called "expected expansion period". Although in the evolution of large data technology, we saw a lot of progress in 2013, including the open source framework representative ...

Large data age, not only bring great social value and commercial value, but also bring a lot of controversy and worthy of research topics. Large data requires a large amount of computational resources to store, organize, and report results. 　　This emerging sector has changed the way data center servers and other infrastructure are chosen and deployed. In order to compete and succeed in today's business environment, companies have to make business decisions by multidimensional analysis of existing data. 　　Analyzing these ballooning data has become an increasingly important trend and opportunity. Searchdatacente ...

Large data requires a large amount of computational resources to store, organize, and report results. 　　This emerging sector has changed the way data center servers and other infrastructure are chosen and deployed. In order to compete and succeed in today's business environment, companies have to make business decisions by multidimensional analysis of existing data. 　　Analyzing these ballooning data has become an increasingly important trend and opportunity. The Searchdatacenter Advisory Committee will introduce the business model affected by large data, how to change the operation of Enterprise Data center, and ...

The year of "Big Data" for cloud computing, a major event for Amazon, Google, Heroku, IBM and Microsoft, has been widely publicized as a big story. However, in public cloud computing, which provider offers the most complete Apache Hadoop implementation, it is not really widely known. With the platform as a service (PaaS) cloud computing model as the enterprise's Data Warehouse application solution by more and more enterprises to adopt, Apache Hadoop and HDFs, mapr ...

One of the key decisions that companies that perform large data [note] projects face is which database to use, SQL or NoSQL? SQL has impressive performance, a huge installation base, and NoSQL is gaining considerable revenue and has many supporters. 　　Let's take a look at the views of two experts on this issue. Experts· VOLTDB's chief technology officer, Ryan Betts, says that SQL has won widespread deployments of large companies, and that big data is another area that it can support. Couch ...