Zokkia

Journey of Building a Data Lake on AWS – from Ideation to Business Value The number one question we get asked from our potential data lake customers is “how do I set up a production ready enterprise data lake and how long does it take to build one”.  From our experience of building data lakes on AWS for the past three years, it could take anywhere between 3 months to 1 year depending on the end goal. To understand the timelines for building data lakes, let us first go through the details of the journey of setting up a data lake from scratch. Who Wants to Build a Data Lake? Enterprise customers are always searching for insights from a variety of data sources. Most of the times they have to deal with challenges like (a) combining data from two or more data sources and (b) limitations of technology platforms. These challenges draw them into exploring a data lake based solution. Every customer has a unique set of requirements. Yet, there are two distinct categories of customers approaching

Modelling photovoltaic soiling losses through optical characterization Greg P. Smestad, Thomas A. Germer, Hameed Alrashidi, Eduardo F. Fernández, Sumon Dey, Honey Brahma, Nabin Sarmah, Aritra Ghosh, Nazmi Sellami, Ibrahim A. I. Hassan, Mai Desouky, Amal Kasry, Bala Pesala, Senthilarasu Sundaram, Florencia Almonacid, K. S. Reddy, Tapas K. Mallick & Leonardo Micheli  Published: 09 January 2020 Abstract The accumulation of soiling on photovoltaic (PV) modules affects PV systems worldwide. Soiling consists of mineral dust, soot particles, aerosols, pollen, fungi and/or other contaminants that deposit on the surface of PV modules. Soiling absorbs, scatters, and reflects a fraction of the incoming sunlight, reducing the intensity that reaches the active part of the solar cell. Here, we report on the comparison of naturally accumulated soiling on coupons of PV glass soiled at seven locations worldwide. The spectral hemispherical transmittance was measured. It was found that natural soilin