Question

3. How does Big Data affect the way in which we execute data analytics programs on datasets?

Answer 1

3. How does Big Data affect the way in which we execute data analytics programs on datasets?

Data analytics is the process of examining and analyzing data sets in order to find trends and process of uncovering trends, patterns, and correlations in large amounts of raw data which helps us to make data-informed decisions . It provides a means to analyze data sets and take away new information—which can help organizations make informed business decisions. Big data becomes a buzz word now. Big data analytics refers to collecting, processing, cleaning, and analyzing large datasets to help organizations to take perfect business decision to make revenue opportunities, ti give better customer service and competitive advantages over competitors based on the analysis of data.

Big data describes the large volume set of data which can be both structured and unstructured and grows exponentially with time. data analytics methodologies include exploratory data analysis , and confirmatory data analysis. Exploratory data analysis aims to find patterns and relationships in data, while confirmatory data analysis applies statistical techniques to determine whether hypotheses about a data set are true or false. Data analytics also include data mining. But as the introduction of Big Data, the way of data analysis procedure has changed as now it needs to deal with huge quantity of raw data. So,  big data analytics is invented. This method applies data mining, predictive analytics, deep learning and machine learning tools.  Hadoop clusters and NoSQL systems are used primarily in big data analytics. Apart from these tools, MongoDB, Spark, Hive, Kafka, HBase etc. are used in big data analysis. That is how introduction of big data changes the way of data analytics.