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Data Science

Ardent solutions is a data science company. Data science uses scientific methods, processes, algorithms and systems to extract information from data in various forms, both structured and unstructured. With the era of big data, the need for data storage also grew. BI tools are not capable of processing variety of huge volume of data. Complex and advanced analytical tools and algorithms are required for processing, analyzing and drawing meaningful insights out of it.The main focus is building framework and solutions to store data. Hadoop and other frameworks are used to successfully store the data. Data Science is the future of Artificial Intelligence.Complex and advanced analytical tools and algorithms are required for processing, analyzing and drawing meaningful insights out of it.

Structured Data which is small in size could be analyzed by using the simple BI tools. Data generated from different sources like financial logs, text files, multimedia forms, sensors, and instruments are huge and cannot be processed using simple BI tools.Data Science is used to make predictions and decisions making use of predictive causal analytics, prescriptive analytics and machine learning. Hadoop and other frameworks are used to successfully store the data. Complex and advanced analytical tools and algorithms are required for processing, analyzing and drawing meaningful insights out of it.The main focus is building framework and solutions to store data. Complex and advanced analytical tools and algorithms are required for processing, analyzing and drawing meaningful insights out of it.

Data Science is a blend of algorithms, various tools, and machine learning principles with the goal to discover hidden patterns from the raw data.Data Science is used to make predictions and decisions making use of predictive causal analytics, prescriptive analytics and machine learning. Complex and advanced analytical tools and algorithms are required for processing, analyzing and drawing meaningful insights out of it.Hadoop and other frameworks are used to successfully store the data. Data Analysis includes the processing history of the data. BI tools are not capable of processing variety of huge volume of data.Data analysis is done by the data scientists to discover insights from it, and uses various advanced machine learning algorithms to identify the occurrence of a particular event in the future.Data Science focuses on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions. It answers the open-ended questions.Complex and advanced analytical tools and algorithms are required for processing, analyzing and drawing meaningful insights out of it.

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