SoftElegance’s employee received certificate in Big Data area from the leading U.S. University
SoftElegance’s employee Serhii K. received the certificate about successful graduating online course “Data Visualization” from University of Illinois, on August 24, 2015.
The course is about to learn to present data to an observer in a way that yields insight and understanding. It introduces graphics programming, focusing primarily on two-dimensional vector graphics and the programming platforms for graphics. This infrastructure includes lessons on the human side of visualization, human perception and cognition to gain a better understanding of the target of the data visualization.
SoftElegance’s employee gets the certificate Data Visualization from University of Illinois, applied to Big Data industry
The event itself is general – studying well and gets certificates after successful finishing the courses. It’s a normal situation. But Serhii tells us about the additional feature of such studying – getting additional knowledge in Big Data industry and learning English.
The business meeting “The Future Of Custom Software Development” was held by SoftElegance in Norway
The business meeting “The Future Of Custom Software Development” was held by SoftElegance at the Embassy premises in Oslo on the 21 of April.
The event was supported by the Embassy of Ukraine to the Kingdom of Norway and the Norwegian Ukrainian Chamber of Commerce.
The representatives of Oil and Gas companies and companies which serve that kind of business were invited to know more about how to enhance business processes using custom software development.
The following participants attended the business meeting:
SoftElegance sponsored the ITO & BPO Germany Forum and presented “Big Data – The Future Of Software Development” session
23 of April 2015 SoftElegance participated as a sponsor and speakers at the ITO & BPO Germany Forum, the only international industry event in Germany that focuses on onshoring and nearshoring services preferred and shows opportunities to optimize these existing models and solutions.
The speakers are Andrii Stolbov, CEO of SoftElegance, who has founded the company in 1993, with the specialization in custom software development, mainly of sophisticated business software, and Andrii Starzhinsky, VP of Marketing, who joined the company more than 5 years ago, with the aim to provide innovative software development outsourcing services to German speaking countries, the Netherlands and Scandinavian markets. Both speakers are currently researching Big Data challenges, and practical aspects of implementing the new technologies at custom applications and Enterprise.
Big data market is estimated up to 40 billions of Euro, according to IDC through 2018. Till 2020 it would create 4.4 millions of IT jobs internationally. And the volume of business data, across all companies, doubles every 15 months. Every day it generated 2.5 exabytes of information, or 2.5 Millions of Terabytes.
Here is an interview with Informatica‘s executives about the changes in cloud computing and big data in upcoming 2012. As outsourcing software development company we are always watching the latest technologies predictions, we are always up-to-date with IT trends. So it’s really useful SandHill.com’s interview.
“First, cloud will move out of the consideration phase and into implementation more broadly in the enterprise including within the federal government. And more IT organizations will make the shift from cost center to profit center, in part due to the adoption of cloud computing.”
Darren Cunningham is Vice President, Marketing at Informatica. Chris Boorman is Chief Marketing Officer and Senior Vice President of Enablement and Education at Informatica.
Microsoft plans to bring ‘big data’ analysis by integrating Hadoop into Windows and SQL Server
This week Microsoft announced collaboration with Yahoo Hortonworks to develop a Apache Hadoop implementation for Windows Server, SQL Server 12, and Windows Azure platforms.
Hadoop is an open source platform for big data analysis and working with unstructured data. It also works on clusters of computers or servers. The preview of Hadoop-based service for Windows Azure will be available by the end of 2011, and the Server’s Hadoop implementation will work with the existing BI tools.
“Microsoft’s strategy is to groom Linux-friendlier Hadoop to fit snugly into Windows environments, thus giving organizations on-tap, seamless, and simultaneous access to both structured and unstructured data via familiar desktop apps, such as Excel, as well as BI tools such as Microsoft PowerPivot”, said Ted Samson, InfoWorld’s senior analyst.
Microsoft has developed an iterative MapReduce runtime for Windows Azure, code-named “Daytona”. Project Daytona is designed to support a wide class of data analytics and machine learning algorithms. It can scale out to hundreds of server cores for analysis of distributed data.
SoftElegance has started to explore this new data analysis and processing framework under the SoftElegance Research Lab initiative which officially will be started next month.
Project Daytona was developed as part of the eXtreme Computing Group’s Cloud Research Engagement Initiative. The project Daytona MapReduce Runtime for Windows Azure was developed for the organizations who have large and growing data collections and need tools to find signals in data and uncover insights.
The one of the latest and most promising IT trends today is Big Data analysis. Big Data are datasets that grow so large that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing.
SoftElegance is attended in tools and technologies to work with Big Data, such as Probase, Hadoop, R project, etc. Today we would like to introduce you R programming language, that provids a wide variety of statistical and graphical techniques, including linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, and others.
R is a programming language and software environment for statistical computing and graphics. The R language has become a de facto standard among statisticians for developing statistical software, and is widely used for statistical software development and data analysis.