Applying Data Science & Techniques with Modern Systems
Applying Data Science & Techniques with Modern Systems
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing software.
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Business intelligence comprises the strategies and technologies used by enterprises for the data analysis of business information. predictive views of business operations.
help startups solve problems by automating time-consuming daily processes and focusing on other essential aspects of your startups, like strategic planning and innovation.
Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Hadoop - helps in storing and analyzing data.
MongoDB - used on datasets that change frequently.
Spark - used for real-time processing and analyzing large amounts of data.
Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights.an effort that's slower and less efficient with more traditional business intelligence solutions.
15/02/2015
09/08/2016
26/08/2018
09/02/2020
Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
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