Online Trends

The purpose of this article is to provide an overview of the many trends that have revolutionized marketing and sales for big data. It combines ten related reports and introduces the application of ten big data in today's marketing and sales strategies.

In the past, we were driven by experience. We are now focusing on driving with data. Today is because data gives a lot of possibilities for artificial intelligence, so AI is alive.

Big data appears in all areas of daily life and scientific research, and the continued growth of data has forced people to reconsider the storage and management of data.

In recent years, big data has changed from the popular words and concepts unique to large companies to the driving force behind the development of our digital life. The following are five trends in the processing and development of big data in the future.

At present, there are hundreds of Alibaba Cloud products running on Alibaba Cloud Network, and the area where Alibaba Cloud has been deployed has grown from several domestic cities and regions to many countries and regions around the world.

At present, there are hundreds of Alibaba Cloud products running on Alibaba Cloud Network, and the area where Alibaba Cloud has been deployed has grown from several domestic cities and regions to many countries and regions around the world.

This article focuses on how Eleme big data team reduced the user access threshold by unifying the entry of the computing engine. How to enable users to self-analyze task anomalies and failure causes, and how to monitor cluster computing/storage resource consumption, monitor cluster status, and monitor abnormal tasks from the task data itself generated by the cluster.

Eleme runs every more than 250K Spark&MR task in the big data cluster records the running status of each Mapper/Reducer or Spark Task.

As the big data ecosystem becomes more and more perfect, more and more users with different backgrounds will join the ecosystem. How to reduce the user's entry threshold and facilitate users to use big data resources quickly and conveniently is also a problem to be considered.

Big data is an important part of the Xinhua 3 strategic system. Yu Yingtao, president and CEO of Xinhua Group, pointed out that the core of the digital economy is data, and big data is the key means to drive data to create value. As an important part of the new IT strategy of "application-driven, cloud-led future".

In most people's understanding, companies use data to optimize their processes, products, and decisions to make operations more effective. But I think this does not cover the full scope of big data.

In Taobao, many shop owners think that “if there is less than 10,000 orders, what is the use of data analysis when the base is so low? So, no big data is needed at all. Only Taobao itself, Jingdong, Amazon, etc. Business companies have huge amounts of data and are qualified to talk about and use big data."

The marketing field is completely different. The data model of marketing has matured, and the Internet has brought enough information sources to e-commerce companies.

Gene sequencing has a wide range of industrial applications and can be of great help in areas such as prevention of birth defects, detection of hereditary diseases and oncology guidance.

With the country's strategic thinking of promoting big data to promote economic and social transformation and development, the construction of big data platform is now the focus of government informationization construction, and provincial governments rely on a strong information system to take the lead.

In the era of artificial intelligence, enterprises want to improve efficiency through big data analysis and mining technology, and are blocked by related technologies such as big data volume analysis and machine learning mining. It is necessary for a data analysis and mining product to cross this gap.

First of all, to deal with big data interview questions, some basic concepts should be clear

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 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.

The development of big data in 2012 is in full swing, and it is catching up with cloud computing. If we compare this year to the year in which big data takes root, then 2013 will usher in a year of thriving and even blossoming.