Cloud Analytics

The growing demand of cloud adoption in the organizations has made IT business to refine their existing strategy. It is important to leverage the existing infrastructure and move the data to cloud which has a competitive edge in terms of operational cost. The adaptability to change is the key and with the agility through cloud, highly scalable and data availability with minimal downtime at enterprise is established. Microsoft Azure is one of the leading cloud vendors in the market and their capabilities in Analytics, Data and Storage services helps the organizations to move their data to cloud with ease. They provide hybrid cloud model with related services which enable flexibility to meet any specific business needs with instant scalability and flexible architectural patterns. There are catalog of services offered by Microsoft Azure to have the data on cloud and build an integrated solution. In this paper, Azure cloud data and storage services are discussed along with other essential capabilities providing value to business.

La investigación científica y tecnológica se apoya cada vez más en sistemas de cómputo de alto desempeño para incrementar su calidad y alcances. Para lograr sistemas de este tipo en el contexto colombiano, se requiere lograr la integración los recursos limitados existentes en un grid o una grilla de alcance nacional conectada a través de la red RENATA. Con el propósito de aunar los esfuerzos de las universidades colombianas que trabajan en computación de alto desempeño ha surgido la iniciativa nacional Grid Colombia. Este artículo presenta la justificación de las necesidades de adelantar una iniciativa de este estilo y el trabajo adelantado con el objetivo de establecer una iniciativa nacional de computación en malla que sirva para potencia la capacidad investigativa de las instituciones colombianas.

Fundamental advances in data acquisition introduces data-ripples in the form of structured and unstructured contents in our daily life. With the increased adoption of hybrid cloud, data governance is more converged and transparent than ever before