Using Excel As A Relational Database

In large data technology, Apache Hadoop and MapReduce are the most user-focused. But it's not easy to manage a Hadoop Distributed file system, or to write MapReduce tasks in Java. 　　 　　Then Apache hive may help you solve the problem. The Hive Data Warehouse tool is also a project of the Apache Foundation, one of the key components of the Hadoop ecosystem, which provides contextual query statements, i.e. hive queries ...

As we all know, the big data wave is gradually sweeping all corners of the globe. And Hadoop is the source of the Storm's power. There's been a lot of talk about Hadoop, and the interest in using Hadoop to handle large datasets seems to be growing. Today, Microsoft has put Hadoop at the heart of its big data strategy. The reason for Microsoft's move is to fancy the potential of Hadoop, which has become the standard for distributed data processing in large data areas. By integrating Hadoop technology, Microso ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

As other manufacturers have focused more on "How to use big data for industrial transformation and corporate Innovation", Microsoft has begun to show how to use the right technology and tools so that everyone in the general public can intuitively gain insights from big data. October 18, Microsoft Global Senior Vice President, He Lebin, chairman and chief executive of Greater China, told reporters on "Big data media day" that "unlike the way other companies handle big data, Microsoft advocates thinking about the use of large data in three ways, from discovering data, analyzing data, and visualizing data." Microsoft Big Data Vision ...

The recent investment in cloud computing by major giants has been very active, ranging from cloud platform management, massive data analysis, to a variety of emerging consumer-facing cloud platforms and cloud services. And the large-scale data processing (Bigdata 處理) technology which is represented by Hadoop makes "Business king" Change to "data is king". The prosperity of the Hadoop community is obvious. 　　More and more domestic and foreign companies are involved in the development of the Hadoop community or directly open the software that is used online. The same year with ...

Emerging big data companies have sprung up. The rapid rise of major manufacturers, "large Data" is the program to strive in the future huge market demand relies on its own innovation for customers to create unique value. IBM offers biginsights, Bigsheets, and Bigcloud just a few years ago, IBM started experimenting with Hadoop in its labs, but it incorporated products and services into the commercial version last year, before Oracle and Microsoft announced they would actively accept the platform. IBM in the last year ...

Microsoft's SQL Server is one of the most watched products in the database market. SQL Server is almost second in the list of database Db-engines published every month in the database Knowledge Web site. 　　But from this list of monthly changes can also be seen, a large number of NoSQL database rankings rising, has begun to threaten the status of traditional databases. "Quo" is no longer a big data age should be the strategy, the old database manufacturers in the maintenance of traditional market-leading foundation, and constantly expand the new market, Microsoft ...

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...

As we all know, the big data wave is gradually sweeping all corners of the globe. And Hadoop is the source of the Storm's power. There's been a lot of talk about Hadoop, and the interest in using Hadoop to handle large datasets seems to be growing. Today, Microsoft has put Hadoop at the heart of its big data strategy. The reason for Microsoft's move is to fancy the potential of Hadoop, which has become the standard for distributed data processing in large data areas. By integrating Hadoop technology, Micros ...

"Editor's note" in the "Pioneer" series of business, High-performance, Wang Tao to build beyond the MongoDB NoSQL, we and Wang Tao talk about High-performance, have a business sequoiadb build experience. Readers need to interpret the advantages of each nosql from the data, we also invited relevant experts at home and abroad to MongoDB, SEQUOIADB, Cassandra, hbase four NoSQL Benchmarking, and published test cases, related data and test rules. This time we will give you the test of domestic experts, ...