Big Data

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Related to Big Data: Big Data analytics

Big Data

The massive amounts of data collected over time that are difficult to analyze and handle using common database management tools. The data are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine and science. The types of data include business transactions, email messages, photos, surveillance videos, activity logs and unstructured text from blogs and social media, as well as the huge amounts of data that can be collected from sensors of all varieties (see machine-generated data).

Big Data Storage and Big Data Analytics
The storage industry is continuously challenged as big data increases exponentially. While the physical storage can be enhanced with more terabyte drive arrays, the software infrastructure must be flexible enough to quickly and economically accommodate ever greater volumes of transactions and queries. See Hadoop, Spark and cloud computing.

The analytical challenge is deriving meaningful information from data in petabyte and exabyte volumes. Big data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making (see MPP).

Big Data vs. Market Research
Analyzing big data may be able to forecast trends and people's habits without the kind of explanation one would derive from traditional market research. The big data patterns show the next probable behavior of a person or market without a logical explanation as to why. Right, wrong or indifferent, big data has been one of the hottest buzzwords of the 2010s. See Petabyte Age and Google Zeitgeist.
References in periodicals archive ?
Hosting the second edition of the Bahri Big Data Forum aims at converging and discussing the potential, need and importance of collaborating to AaAaAeAcAaAaAeAa create a maritime industry ecosystem that aims to push data-dr AaAaAeAcAaAaAeAa advancements and enable their application," said Mohammed Al-Sar Vice Chairman of Bahri .
Big Data initiatives are an important part of growing an organization, but the process is still complex and challenging for everyone involved, said Greg Pavlik, senior vice president and CTO, Oracle Cloud Platform.
Factors driving growth in the global big data analytics in healthcare market include significant increase in demand for financial analytics in healthcare, surge in demand for exploring structured and unstructured data present in healthcare industry, decreasing costs and availability of big data software and services, along with amplified adoption of new technologies for data analytics in healthcare business transformations, globally.
Serving existing clients better with Big Data: this need focuses on how Big Data ought to be used for existing client retention, loyalty building and increasing revenues per client.
The impact of big data has also penetrated into daily life, such as the customized Internet search results generated by big data feedback.
Big data first and foremost has to be "big," and size in this case is calculated as volume.
Co-organised by Malaysia Digital Economy Corporation (MDEC) -- Malaysia's government agency leading the national Big Data Analytics initiative, and Olygen (under the brand BIGIT), the BIGIT Technology Malaysia 2016 will be the Anchor Event of the Big Data Week Asia 2016 that consists of the much anticipated 4th Big Data World Show, Data Security World Show and the BIGIT Exhibition.
So what are the operational challenges that big data presents?
When organizations can make the most of Big Data's characteristic velocity, variety, and volume--and truly leverage their Big Data assets--the impact on customer satisfaction can be palpable.
Earlier studies on big data have focused on technical and operational issues (Kwon et al.
Organizations increasingly understand that big data is not just about a specific technology but a collection of different data management technologies and practices to support multiple analytic uses.
Over the last decade or so, the promise of big data has reignited new opportunities for innovation that have led to a favourable position for IT and the chief information officer (CIO).