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In addition to IBM and other large IT vendors, some other manufacturers in the industry have joined the large data camp, for this SEARCHBI Web site summed up the April is worth the attention of large data market trends. VMware acquired Cetas virtualization maker VMware recently announced the acquisition of Cetas Software company, headquartered in San Francisco's Palo Alto, mainly engaged in the development of large data analysis tools. Cetas's instant FDI technology can help enterprise users quickly identify modules in large data streams ...

VMware acquired Cetas virtualization maker VMware recently announced the acquisition of Cetas Software company, headquartered in San Francisco's Palo Alto, mainly engaged in the development of large data analysis tools. Cetas's instant FDI technology enables enterprise users to quickly identify patterns and anomalies in large data streams and translate them into valuable business insights. Instant FDI is based on Hadoop and is currently available only for internal deployments of the enterprise ...

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

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 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 ...

"The key is not in what methods, but in being able to really solve problems using any available tool or method," said Forrester analyst James Kobielus in a blog about Big data. "In recent years, with the urgent sense of solving big data problems, many organizations have started to explore the data architects." 　　In short, traditional databases and business intelligence tools that they typically use to analyze enterprise data are no longer competent for large data-processing tasks. To understand this challenge, we must go back to 10 years ago: There were very few t ...

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 ...

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 ...

The big data age has come and has quietly influenced our lives. According to a recent study by IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. 　　Facebook and all other Internet sites, Internet applications, have gradually become the entire data collection, analysis, processing and value-added architecture. In China, social networks are also in full swing. Sina Vice President Wang Gaofei has said that Sina Weibo has registered more than 300 million users, users on average daily release more than 100 million micro bonnet ...

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 ...