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History of Big Data
May 12, 2016
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Real Impact Analytics (RIA) taps into rich telecom data flows to capture their value. The data is turned into action with big data apps that ease our clients’ day-to-day work…
Infographic | May 14, 2021
With the rapid development of the technology sector, it can be quite a challenge to keep up with all the niches and stay current on their advancements. Of the many fields that are responsible for the increasing buzz in the sector, Data Science, Computer Science, and Data Analytics are three critical domains that spearhead the revolution in technology.
Infographic | April 14, 2021
Data Analytics is the way forward for organizations looking to maintain a competitive advantage. The best way to boost the bottom line and secure a bright future is by monetizing data. Start your Data Analytics journey right away and boost the economic value driven by your data.
Infographic | February 12, 2021
Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.
Infographic | March 12, 2020
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Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.
Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.
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