Category Big data

Difference between Big Data and Cloud Computing


The concepts of "Big Data" and "Cloud Computing" have probably the most famous technological tools discussed currently than ever before. You might even be aware of it and used them if you are working on the creation of cloud applications. Big data analytics are performed by many public cloud services, hence the two go hand in hand.

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Category Big data

What is Big Data Technology


Before the development of big data technologies, conventional programming languages and simple structured query languages were used to manage the data. Due to the constant expansion of each organization's information and data as well as the domain, these languages were not effective enough to handle the huge database. Because of this, it has become crucial to manage such massive amounts of data and implement a reliable system that meets all the requirements and needs of clients and large businesses. Big data technologies are the current trending tool for all these requirements.

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Category Big data

What is Big Data Analytics


To find market trends, insights, and patterns that might aid businesses in making better business decisions, big data analytics plays a major role. It is the process of gathering, reviewing, and analyzing enormous amounts of data. Companies may design plans more swiftly and efficiently with this gathered information, maintaining their competitive advantage.

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Category Big data

Which big data technology is in demand?


Big Data Technology is a type of software utility that is created to analyze, process, and extract information from huge and complicated data sets that are too complex for traditional data processing software to handle. Big data is a specialized indicator for the massive collection of data that is growing exponentially and in quantity with time. Big Data technologies can be divided generally into two groups.

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Category Big data

Understanding what is Big Data with examples


Big Data has gained popularity in recent times. It is referred to a sizeable volume of data that cannot be stored or handled using normal data storage or processing tools. Due to the enormous volume of data generated by both human and machine activity, the data are so complicated and vast that neither people nor a relational database can analyze them. However, when properly analyzed using contemporary analytical tools, these vast amounts of data offer firms significant insights that aid them in improving their operations by taking wise decisions.

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