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You are here:Home » Computer and Internet » Cloud Computing

Cloud Computing

Cloud computing is becoming more and more important. Here are articles on Cloud Computing,Cloud Server,SaaS,PaaS,IaaS and Cloud related technology.

What are the Pros and Cons of DevOps

DevOps is not any specific technology. DevOps is a shift of methodologies, an approach to software development which has been discussed in the series of article Basics of DevOps. Traditionally, development team and the operations team were separate. The development team design the system, build, test, and then deliver it to the operations team. The operations team uses it for work and reports … [Read more...]

What is Elasticity in Cloud Computing

Elasticity in cloud computing is the ability of this cloud to adapt to application needs as quickly as possible. There are several definitions according to the authors, some considering the concepts of scalability and elasticity as identical, others as distinct. The arrival of such distributed systems (see Distributed Calculation) inevitably leads to technical problems that need to be addressed or … [Read more...]

What is Big Data Maturity Model

Big Data is about answering business questions. With in-memory data structures, file based storage systems, and massively parallel processing, today we are able to leverage advantages from data. To dig information from that data, any business need to create a functional model which solves their business problems and get the right technology for analytics. Here is where we need data maturity. … [Read more...]

Cloud Computing Challenges in 2020

Companies today see the use of the cloud as the basis for digitization strategies. Overall, however, the challenges of the cloud should not be pushed aside. Cloud computing brings numerous advantages, regardless of their size, that need not be described in detail here. The international providers such as Amazon with AWS, Microsoft with Azure and Google with its cloud address different target … [Read more...]

Influence of Digitalization on Marketing : Part III

In the previous part of this series, under the sub-header "Marketing strategies", we have discussed about Customer requirement and Customer acquisition. For many companies, online marketing is the most used medium for customer acquisition. The other points to discuss under the sub-header "Marketing strategies" are Customer loyalty and The challenge for marketing. "Digitization in the field of … [Read more...]

Influence of Digitalization on Marketing : Part II

This is the continuation of first part of the series. A company can only be successful if it pursues clearly defined goals. The term goal is a desired result for the future. To be able to define a goal, it has to be analyzed where you are and where you want to go (e.g. increasing sales, increasing market share, increasing customer satisfaction). These goals can be pursued and implemented through … [Read more...]

Influence of Digitalization on Marketing : Part I

The customer now spends more time online than ever before. It matters less whether on the desktop PC or mobile via smartphone and tablet. Regardless of the time, location and end device, they are strongly networked and require information in real-time. Around 50 per cent of the population in the developed & developing countries already uses the Internet every day, and one in five now also uses … [Read more...]

Big Data and AI Creating More Humane Customer Service

The use of Big Data and AI will change our everyday work more. When used correctly, they not only can drive the level of automation, but also contribute to more humanity. Regardless of whether Big Data and AI help a commuter to navigate an expert or not, they relieve the peoples from repetitive and error-prone tasks. The more Big Data and AI are been applied to everyday problems, the more it … [Read more...]

Machine Learning in Capital Markets : Part VII

This is the continuation of part VI of Machine Learning in Capital Markets. In the course of this work, a critical examination of the use of various learning methods in the analysis of financial market-specific data showed that machine learning methods are only conditionally suitable for successfully predicting share prices. A look at the results shows that there are sections of the stock … [Read more...]

Machine Learning in Capital Markets : Part VI

This is the continuation of part V of Machine Learning in Capital Markets. The determined values ​​can be converted into a uniform interval by scaling. The interval can range from -100 to +100 units. It is only important that all values ​​are scaled so that the relative size is not changed. In contrast to the RSI method, individual outliers are not eliminated, only the size of the individual … [Read more...]

Required Transformation to Use the Hybrid Cloud Services

Despite the adversities we have described in the article The need of Digital Strategy for the Hybrid Cloud Services, the transformation began in most companies - sometimes only because a digitally more affine company was bought out and is now driving digital change. Managed services providers feel the insecurity of their customers. On the one hand, many companies no longer want to conclude … [Read more...]

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