Big Data Analytics Technology Stack

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Must read! Big Data: Hadoop, Business Analytics and more (2)

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics.   That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users.   Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

Big Data Doomsday omens or big business opportunities?

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

How to write an executable web Analytics report Essentials

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall This article translates from Avinash Kaushik's newest blog post: The "Action Dashboard" (a alternative to crappy Dashboards), please click the link to view the original. Thank Avinash generously agree with me to translate his article, you know, he is the master of the Web Analytics world! Here is the full text of this article: Know the bad report and ...

Big data rise based on cloud

Big Data is the industry's future trend, its momentum has been unstoppable, and Hadoop as a larger distributed computing and storage offline processing cluster representatives, in this year is more red all over the world. Admittedly, big data is becoming an important factor in changing people's lives, and the integration of big data and cloud computing is in full swing. From the quantitative, structural world, to the uncertain, unstructured world. This transformation allows us to understand the real information, improve the level of decision-making, when the community of natural data has a more perfect, ready to analyze the ability, our grasp of the event and the prediction can ...

Big data + artificial intelligence is swaying business in eight ways

Big data and artificial intelligence are becoming hot spots in the technology world. Everyone is talking about big data, and everyone is talking about artificial intelligence.

2014 trend forecasts, big data will be mainstream

The forecast for this article comes from a group of companies that analyze the industry, including an enterprise software company (Tibco,spotfire), a publicly traded business intelligence company (Tableau), a start-up that analyzes application platforms (Alteryx), A major NoSQL supplier (Basho), as well as a customer analysis company (Gainsight). They predict that the primary theme of 2014 's Big data technology is that big data technology will become mainstream, highly specialized areas of analysis become easier, cloud computing and mobile Internet shadow ...

Big data hits the football world: winning or losing depends on data or intuition?

With a dramatic end to the 2013/14 season in the Premier League, if there is anything more than the last round of winning the title, it must be the fast decline of the defending champion Reds and the emergence of the unknown Everton.   Everton not only beat Manchester United, but even the extravagantly of the transfer market in London, Tottenham Hotspur, has become a hot topic for fans.   Everton's onslaught represents a new trend in football: the Data revolution. European football is going through such a revolution. Professional fans may find clues from the news pile: The big clubs are ...

2014 Big data will have 12 trends: Hadoop and R language lead

Now, "Big data" has become one of the hottest words, more and more enterprises began to pay attention to and embrace large data, 2014 Big data will have more substantial progress, in which Hadoop and R language will be the protagonist. "Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers. More and more enterprises begin to embrace ...

2014 Big data will have 12 trends: Hadoop and R language lead

Now, "Big data" has become one of the hottest words, more and more enterprises began to pay attention to and embrace large data, 2014 Big data will have more substantial progress, in which Hadoop and R language will be the protagonist. "Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers. More and more enterprises begin to embrace ...

2014 of 12 Big Data trends: Hadoop continues to heat up, R will enter the mainstream

At the moment, "big data" has become one of the hottest technical terms of the 2013, and in the past year, the growth and change of the market is not insignificant. At the same time, we have seen a change in the use of Hadoop and its ecosystem from top technical talent to data scientists. More and more enterprises embrace large data technology and apply it to production environment. So what will happen to the trend of big data in the 2014, and here's a look at 12 predictions from CIOs: 1. People stop talking about big data for 2014, and big data stops saying ...

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