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IBM's new Big Data Management: Winning big data era

IBM (NYSE: IBM) today held an annual conference in Beijing called IBM's Information Management (IM) conference called "Information Management in the Big Data Age." At the conference, IBM explained carefully how IBM Information Management software is used in data warehousing and integration , Governance, optimization, analysis and other areas of advanced technology, and for participants to share how IBM has been through new technologies to help different industries, different sizes of businesses and institutions to deal with the challenges of the information explosion era: to face the surge in high efficiency The data to create ...

Look at the mainframe correctly-it's a key part of the business

Have you ever heard such a statement? An IT senior manager talking about the application infrastructure of the organization. He is optimistic about the "modern" aspects of the Environment: multi-tier client-server systems, WEB-oriented development using languages such as PERL, Python, and Ruby, and service-oriented architectures. If you ask the IT senior manager about the IBM System z Server They are using, the answer may well be dismissive: "Oh, that's our legacy system." The word "Left" listens ...

Implementing an Android Device Enterprise database synchronization using IBM Mobile databases

This article is an attempt to explain how IBM Mobile database works and to combine examples to show how to use IBM Mobile databases to synchronize the data of an Android device with a back-end enterprise. IBM http://www.aliyun.com/zixun/aggregation/29908.html ">SOLIDDB is a memory relational database that runs as efficiently as 10 of the disk database ...

Moving large data on the application side

On the recently held 2011 Annual Information on Demand Forum (information on Demand Forum, IOD Forum), IBM officially announced the introduction of new large data management and analysis software and solutions for different working environments, from mobile devices, data centers, to IBM SmartCloud Cloud computing platform, covering a wide range of platforms, with excellent handling of different types of large data and business analysis of technical capabilities, the launch of software and solutions enough to enable customers to calmly face ...

Construction of disaster tolerance mode in dual data center

Content Summary: The data disaster tolerance problem is the government, the enterprise and so on in the informationization construction process to be confronted with the important theory and the practical significance research topic. In order to realize the disaster tolerance, it is necessary to design and research the disaster-tolerant related technology, the requirement analysis of business system, the overall scheme design and system realization of disaster tolerance.   Based on the current situation of Xinjiang National Tax Service and the target of future disaster tolerance construction, this paper expounds the concept and technical essentials of disaster tolerance, focuses on the analysis of the business data processing of Xinjiang national tax, puts forward the concrete disaster-tolerant solution, and gives the test example. Key words: ...

Deep analysis of the specific technologies used behind cloud computing

As a new computing model, cloud computing is still in its early stage of development. Many different sizes and types of providers provide their own cloud-based application services. This paper introduces three typical cloud computing implementations, such as Amazon, Google and IBM, to analyze the specific technology behind "cloud computing", to analyze the current cloud computing platform construction method and the application construction way. Chen Zheng People's Republic of Tsinghua University 1:google cloud computing platform and application Google's cloud computing technology is actually for go ...

Comparison and analysis of three mainstream server cluster software

Simply put, a cluster (cluster) is a group of computers that provide users with a set of network resources as a whole. These individual computer systems are the nodes (node) of the cluster. An ideal cluster is that the user never realizes the nodes at the bottom of the cluster system, in their view, the cluster is a system, not multiple computer systems.     And the administrators of the cluster system can add and revise the nodes of the cluster system at will. Below on the server commonly used three cluster software to do a comparative analysis of the introduction: 1 ...

EMC: Redefining data protection in the big data age

"Software definition" has become the IT Hot word, software definition network, software definition data center, software definition storage, in short, software can define everything. In the large data age, the importance of data is not much to say, and the protection of data will be gradually upgraded.   EMC says that data backup will evolve in the direction of data protection, and over time data protection needs to move toward data management! In the April 9 communication meeting, EMC Dpad Division Greater China Director Chen and senior product manager Li Junpeng and we share the current EMC data ...

Cloud Computing Week Jevin Review (2.20-2.25)

Forbes: hadoop--Big Data tools you have to understand now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But this is the same as before ...

Introducing IBM's SQL technology for Hadoop to relational DBMS users

This article will introduce big SQL, which answers many common questions about this IBM technology that users of relational DBMS have. Large data: It is useful for IT professionals who analyze and manage information. But it's hard for some professionals to understand how to use large data, because Apache Hadoop, one of the most popular big data platforms, has brought a lot of new technology, including the newer query and scripting languages. Big SQL is IBM's Hadoop based platform Infosphere Biginsight ...

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