Big Data Analytics Project Ideas

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.

This era has not been a simple digital media era, some business giants have quietly used "big data" technology for many years, with large data-driven marketing, drive cost control, drive product and service innovation, drive management and decision-making innovation for many years. Large data contains a variety of information on the operation of the enterprise, if they can be timely and effective collation and analysis, it can be a good effective way to help enterprises to carry out business decision-making, to bring the enterprise to obtain huge value-added value benefits. This issue with large data on the most closely related to the retail industry, and small partners to share big ...

This era has not been a simple digital media era, some business giants have quietly used "big data" technology for many years, with large data-driven marketing, drive cost control, drive product and service innovation, drive management and decision-making innovation for many years. Large data contains a variety of information on the operation of the enterprise, if they can be timely and effective collation and analysis, it can be a good effective way to help enterprises to carry out business decision-making, to bring the enterprise to obtain huge value-added value benefits. This issue with large data on the most closely related to the retail industry, and small partners to share big ...

In today's era of big data, businesses can learn more about consumers through a number of channels and can even understand what they need than consumers themselves. But in fact, very few companies really understand the depths of consumers, to give attentive personalized service, the enterprise is not enough intentions or the customer is too picky? In the data age, how companies should be better and faster to meet consumer spending Personal needs, to reach their psychological expectations? In the big data support, the company's personalized service will become more reliable, more popular? The rapid growth of big data and related technologies ...

This year is a big data crossover year: As a concept, as a term, and as a marketing tool. Large numbers have sprung up, breaking the limits of the scientific and technological community and becoming the mainstream. First, on big data, here are a few things to emphasize: Big Data is a featured theme at the 9374.html "> World Economic Forum in Davos, Switzerland this year", the report titled Big Data, Big impact. In March this year, the U.S. federal government announced a 200 million dollar investment to launch a "Big Data research and development program". Ricksmorland, creator of the "One Day Life" photography series, has ...

August 15, 2014, IBM Big Data and Analysis Summit Forum held in Guangzhou. 　　As a leader in the field of data and analysis, IBM announces that its large data and analysis has been widely used in the South China region, providing a visible, applicable and landing large data deployment program for more and more South China enterprises to realize industrial transformation and value breakthrough. "Through the cognitive and exploratory phases of the past few years, companies have become increasingly clear," said Mr. Jason Kelley, general manager of IBM Greater China data and analysis and new markets, global business advisory services.

Now, cloud computing and large data are undoubtedly the fire of the concept, the industry to their discussion also intensified, then cloud computing and large data encounter again how the link? Some people say that cloud computing and large data are twins, two are different individuals, interdependent and complementary, and some people say that big data is to disrupt. Cloud computing VS Big Data in this regard, IBM Global Senior Vice president, the Department of Systems and Technology (STG) general manager Rod Adkins that the current global IT field has exciting development trends and challenges, now ...

Recently, Google officially launched a new feature based on large data analysis and intelligent Search-knowledge graph (knowledge map). Google adds a larger, more specific search result to the right of the search page, the new technology can be used to provide popular facts about people, places and things in traditional Google search results, while also allowing Google to push a new search method that does not provide pages that match user search terms, Instead, it provides pages that match the "entity" or concept described by the vocabulary. Google says the company has compiled ...

Big Data has developed into a critical phase. By 2017, the big data market will have grown to 50 billion dollars, but unfortunately 55% of the big data projects have failed. With the opportunity is the hype and false information, we are in the large data of the West drought stage. 　　The big data industry is in a bit of a stalemate: people who understand it invest in the industry to collect, store and benefit from large data, while others pay for it with a dubious attitude and wonder how big data will affect their business. Benign failure Big data allow error ...

Now, some people think that the value of big data is to help businesses get new insights and action, while others think Big data is just hype. The big numbers are opportunities or empty words, what is the mysterious boundary between the two views? At present, people have different cognition about large data and its value. Some people think that the value of large data is to help businesses gain new insights and action; others think Big data is just hype. Both of these ideas have merit, and interestingly, both views ...