What is Big Data? Big Data is an advanced methodology that is being used to extract useful insights, including hidden relationships, statistical correlations, market tendencies, and individual preferences. It provides different benefits to business organizations, which it is used for efficient decision making, avoiding fraudulent activities, among others. These days, there are many companies that are using big data analytics for efficient decision making of improving their business performance.
Big Data has some advantages compared to traditional data mining methods. It is much more accurate than the latter, and it is capable of providing relevant insights. It also provides timely insights unlike the latter method that takes too long to get tangible results. However, when it comes to extracting insights from massive amounts of data, traditional approaches prove to be much less effective than Big Data techniques. Traditional data mining cannot guarantee that it will provide relevant data in a fast time. As such, the company has to wait for several months before it can get tangible information through data mining techniques.
What is Big Data? Large-scale structured data analysis techniques can’t guarantee accurate results unless it uses Hadoop. Hadoop is a framework that is based on the idea of Map-reduce and it is designed to enable distributed systems to function efficiently. Since Big Data requires a large amount of resources, it will require less server resources, which is why most big data analytics applications are run on large cloud servers. This way, the company doesn’t have to invest in server upgrades or other technologies that consume valuable capital resources.
What is Big Data Analytics? Like traditional data analytics, Hadoop can be divided into two major categories: Map-reduce and horizontally scalable. Map-reduce aims to reduce the size of data sets, while horizontally scalable aims to scale up the amount of processed data. With the help of Map-reduce, the company can gain access to huge amounts of data sources quickly, which will improve its operational efficiency. On the other hand, with the help of horizontal scalable data analytics applications, the company can access smaller amounts of data sources over a long period of time, which will improve its accuracy as well as bring in enough profits.
What is Big Data for Businesses? For small enterprises and startups, managing large amounts of data might seem too complex and expensive, but with Hadoop, managing such amounts of data becomes a breeze. Hadoop enables easy use of data sources and it is highly flexible and open-ended, which allows developers and business managers to easily create new datasets of use to their advantage. Many Hadoop users are able to generate their own usage patterns from pre-existing datasets, which enables them to save time and effort in the creation of new Datasets.
What is Big Data for Applications? For the enterprise, big data analytics can provide businesses with crucial information about how their applications are performing, which can help them improve their operational efficiencies and bring in more profits. By ingesting large amounts of data sets, users can better understand the behavior of their applications, discover what is working and what is not and also gain insights into their hardware and networks. This enables them to make quick and appropriate decisions on how to optimize their applications and infrastructure.
What is Big Data for Social Media? With more people turning to their smartphones and accessing the internet on their devices, big data analytics can provide businesses with valuable information on what their customers are searching for and finding by engaging with them through social media channels like Facebook, Twitter and LinkedIn. In this era of smartphones with built-in GPS and Apple Maps, locating an individual becomes essential for sales, customer support and product tracking. By leveraging off-the-shelf Android devices with the Data Centerlessly Mobile Platform (DMPS), analytics tools can be integrated with social media to provide detailed reports on where users have been, what they’ve been doing and how they’re being tracked.
What is Big Data for Enterprise Application Analytics? The big benefits of this innovative technology for enterprises are not only in how it helps them analyze and leverage data sets, but also the insights that can be provided by this method. Data from social media interactions, online searches and other sources can be combined with comprehensive analytical reports to help business owners implement preventative measures to manage their data appropriately. Data is not only used to make business decisions, but also to help management prioritize activities that will yield the greatest return on investment. Through data analytics, organizations use their insights to create actionable intelligence and generate positive results.