Store Excel File In Database

Managing and maintaining storage is expensive, not to mention the growing need for more hard disk space. By using data storage based on cloud computing, business owners can leverage more attractive prices and consistently reduced costs while integrating a variety of new features from different vendors. Cloud services, as cloud computing or cloud storage, can be valuable assets for cost-sensitive SMEs. Although some of the larger organizations have the resources to build their own cloud storage services, small and medium-size enterprises often need to turn to some cloud storage providers for Internet-accessible storage ...

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 REST service can help developers to provide services to end users with a simple and unified interface. However, in the application scenario of data analysis, some mature data analysis tools (such as Tableau, Excel, etc.) require the user to provide an ODBC data source, in which case the REST service does not meet the user's need for data usage. This article provides a detailed overview of how to develop a custom ODBC driver based on the existing rest service from an implementation perspective. The article focuses on the introduction of ODBC ...

Apache Hadoop and MapReduce attract a large number of large data analysis experts and business intelligence experts. However, a wide range of Hadoop decentralized file systems, or the ability to write or execute mapreduce in the Java language, requires truly rigorous software development techniques. Apache Hive will be the only solution. The Apache Software Foundation Engineering Hive's database component, is also based on the cloud Hadoop ecosystem, provides the context based query statement called Hive query statement. This set of ...

A few months ago, the team invited me to do an internal sharing, the topic is how to effectively search for information. This is because I usually share some professional study documents in my daily work, and these documents often appear in time, so we will be curious about how I can find such professional and timely reference materials in a timely manner. In fact, some of these information from the Internet search, but some are from my "personal database", which is divided into categories, easy to retrieve, so it is easy to turn out to show people. This is what I think is common sense, but after a simple sharing was well received. By the drum ...

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 ...

The API key, like the SSL key, is the top priority in security policy. Many people verbally say they want to protect the information in the cloud, but in fact we are all stones in cloud security. Most organizations use some form of API key to access cloud services. The protection of these API keys is important. 　　This article will discuss the issue of protecting API key and recommend some solutions. In the 2011, the importance of API keys was gradually recognized, and companies were more aware of their full protection of these keys. After all, API keys and access to sensitive information in the cloud have ...

Basically are in group discussion, when others ask the introductory questions, later thought of new problems to add in. 　　But the problem of getting started is also very important, the understanding of the principle determines the degree of learning can be in-depth. 　　Hadoop is not discussed in this article, only peripheral software is introduced. 　　Hive: This is the most software I've ever asked, and it's also the highest utilization rate around Hadoop. 　　What the hell is hive? How to strictly define hive is really not too easy, usually for non-Hadoop professionals ...

The API key, like the SSL key, is the top priority in security policy. Many people verbally say they want to protect the information in the cloud, but in fact we are all stones in cloud security. Most organizations use some form of API key to access cloud services. The protection of these API keys is important. 　　This article will discuss the issue of protecting API key and recommend some solutions. In the 2011, the importance of API keys was gradually recognized, and companies were more aware of their full protection of these keys. After all, API keys and access to sensitive information in the cloud have ...