providers are allowed to select the software stack, application framework, databases etc., by PaaS in a browser based interface. Pushing Application to the Cloud Cloud Computing is storing of application and data on remote servers accessing through internet instead of installing and saving them on personal computers. Growing huge amount of data which are publicly available has made it impossible to move data to desktop for analysis. To overcome this limitation, we require a new computing paradigm.
government IaaS platforms, Amazon Web Services (AWS), Elastic Cloud Compute (EC2), Google Compute Engine and Rackspace Compute. Platform as a Service (PaaS) The provision of standardised operating systems and application services (e.g. web server or database platform) delivered on IaaS services to enable customers to deploy and run their own applications
table displays the synopsis of the security comparison: Functions Oracle SQL Server Authentication Authentication by OS, Network, Oracle, multi-tier, SSL, and database administrators. Windows authentication integration. Mixed mode of Windows and SQL Server maintained within SQL Server. Authorization User resource limits and profiles. Privileges. Roles. Applications Roles. Fine-Grained Access Control. Fixed server, database, and users roles. Ownership and User-schema separation. Least privileges
Securing Data with Cloud Technology John A. Doe Bank of America Table of Contents I. Executive Summary ………………………...…………………………………………………....3 II. Introduction………………..……………………………………………………………………...4 III. What is Cloud Technology? ………….………………………………………………..................5 IV. Solution…………………………………………………………………………………………...6 V. Advantages ………………………………………………………………………………………7 VI. Conclusion ………………………………………………………………………………………10 VII. References ………………………………………………………………………………………11 Executive Summary Imagine
big data tool for people around the world to more quickly manage and share massive data. IBM reports the technology will provide analysis-as-a-service and cloud-based solutions to its worldwide user base. And it has made a plan that is also in the works to expand the big data architecture. To protect important information like credit card number and customer databases, IBM develop Security Intelligence System which can provides exceptional threat and risk detection. The system combines deep security
is using several Big Data techniques to provide such service, ranging from large-scale real-time analytics, predictive analytics, data mining and statistical modelling. It has also developed a custom Big Data platform, technologies including Hadoop, SQL Server, Hive, Machine-Learning, Redshift, R and Python. For yelp and TripAdvisor, the
of structured to unstructured data of the NoSQL data bases have made the data modelers to think more in business –centric notion. It is always better to choose a NoSQL databases based on the business requirement rather than use a polished technology, which would bring out the best results. Some questions that traditional database projects answer are why, when and where relating to the business. Who is responsible and what value does it bring in
strongest and weakest territories, products and customers they are gathering sales tracings data from their distributors. At current, sales team collecting their own tracings data and analysis them to see who is their best and worst customers, products and territories. It is really difficult for the sales team to do this analysis as they are doing manually. They spend almost 15%-20% of their time to create their reports and submit to their superior. Here is the main difficulties which sales team are facing
Computer Security: Corporate Security Documentation Suitable for a Large Corporation Acceptable Use Policy for Information Technology in the organization ensures that there are no retractions imposed that are contrary to the organizational culture of openness, integrity and trust. This policy governs the organization's internet, intranet, and extranet related systems which includes all computer equipment, software, operating systems, storage media and network accounts, electronic mail, web browsing
Cloud Databases : A shift towards new paradigm. ABSTRACT .In this paper, we analyze the design choices that allowed modern scalable data management systems to achieve orders of magnitude higher levels of scalability compared to traditional databases. The challenge of building consistent, available, and scalable data management systems capable of serving petabytes of data for millions of users has confronted the data management research community as well as large internet enterprises. Current