Increasingly popular, "Big Data" is a term which refers to the newly acquired ability to process large data sets, quickly analyze massive amounts of information and draw surprising conclusions. This new approach enables to adapt and process unlimited data, from ticket prices to the content of millions of books, and discover new correlations.
To us, "Big Data" has three different meanings. Firstly, it means a set of technological packages such as Apache MapReduce, HortonWorks, Cloudera HDP, etc. Secondly, it means a real revolution in measurement processes and statistics. Thirdly, it means a certain point of view, the philosophy regarding the way in which decisions are and will be made now and in the future.
In the era of "Big Data", traditional approaches to data analysis do not bring desired results. Effective analyses of large and complex data sets, drawing interesting conclusions and presentation of obtained results in a clear form takes a lot of time and costs much money. Here, the Hadoop Big Data technologies are of great importance as they help you solve your data-related problems.
To perform Big Data analysis, we use our own KNOW-HOW based on new methodologies that allow you to keep to your project timetables and budgets.
Now, it takes much time to perform a good data analysis. Data analysts work under a lot of pressure making every effort to meet deadlines. And, the entire field of data processing is stuck as the outdated cascading model has been applied, which is a major problem. Working with unstructured data and performance of complex analysis is very time-consuming.
This problem, and its solution, made us develop a special mechanism to guarantee control over collected data, ensuring that our applied research allows to deliver useful products and meet the needs of real users of Big Data technologies.
To implement our solutions and BIG DATA projects, we use Apache MapReduce, HortonWorks, Cloudera CDH, Oracle, Teradata, IBM, SAS, Microsoft and others.
In TERALAB, we design and implement tools for collecting, integrating, optimizing and analyzing data. We offer a wide range of services related to Big Data analysis and create our own solutions based on data warehouses in a SaaS model. Every day, we use the potential of new technologies to deliver pioneer projects and explore new opportunities. We are carefully building our team, looking for people who will help us push the boundaries of Big Data.
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