Big Data
Big Data is a popular phrase used to describe a massive amount of both structured and unstructured data. Big data is difficult to process with traditional database and software techniques because of large quantity of data. Volume, velocity, variability and variety are three characteristics of Big Data.
• Volume: Big data implies vast volumes of data. These data is generated by machines, networks and social media the volume of data to be analyzed is massive. Volume refers to the amount of data to be handled. Many organizations are producing large quantity of data internally or externally.
• Velocity: velocity refers to the speed of generation of data or how fast data is generated and processed to meet their objectives. The flow of data is massive and continuous.
• Variety: Organizations collects variety of data in several ways. Data which are collects by using internally or externally can be structured, semi-structured or unstructured. As a example social media sources, such as face book, blogs and tweets and data coming from sensors can be semi structured or unstructured. This variety of unstructured data creates problems for storage and analyzing data.[5]
Big data is important because it enables to analyze large amounts of raw data where it was not practical, either for cost or technology reasons. Big data is the term for a collection of data sets so large and complex, so it becomes difficult to process using on hand database management tools or traditional data processing applications. Big data differs from traditional, transactional data in a number of ways. Those are volume or storage issue, big data is often not relational (Some of the more structured data can be readily put into relational format but unstruct...
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... requires massive performance and scalability. But old platforms poor in scaling, loading data, respond, processing capacity for analytics and handling concurrent mixed workloads.
Store and analyze approach, and analyze and store approach can be identified as the two main techniques for analyzing big data.
Big Data analytics helps to explore hidden correlations, hidden patterns and provide other valuable insights into the data. This analysis helps to data scientists and other users to evaluate large volumes data, which might be left untapped by traditional business intelligence (BI) systems. Big data analytics can provide competitive advantages to organizations. It also help to achieve business benefits such as more effective marketing and increased revenue. The key goal of Big Data analytics is to assist organizations in making superior business decisions. [8]
Big Data is characterized by four key components, volume, velocity, variety, and value. Furthermore, Big Data can come from an array sources such as Facebook, Twitter, call
...g system that supports the scalability of their data. The following is their input on their new proposal to create a new operational insight tool in order to provide a solution to their challenge:
8.) Data - means facts or information. People use data as a basis for drawing conclusions about the topic or theme they are studying.
The key strategy implementation efforts at Amazon all surround the use of “big data”. Big data is the growth and availability of large volumes of structured/unstructured data. The use of big data has allowed decision making based upon data and analysis instead of past experience and intuition. Big data has directed organizational change in allowing Amazon to expand from an online book store to an internet giant. Revolutionary application of big data has allowed Amazon to create superior service quality while motivating employees by providing real time information to solve customer issues. Big data has strengthened Amazon’s competitive capabilities by pioneering the application of big data and charging a monthly fee to smaller businesses
If auditors can look at a complete population, they may not have a great defense if they missed a “smoking gun” since they looked at all the data (Alles and Glen). However, this data may not be valid which raises the importance of the auditor understanding where the data came from and how reliable it is. Not only this, it will be interesting to see how standards consider big data evidence. While it most likely will not be as reliable as confirmations, it would be a challenge to figure out how much the auditors could rely on it. Furthermore, higher education would most likely play a role in helping their graduates understand data and how to use technology to be not only more efficient but also ensure they are able to use sound professional judgement while using big data.
Google analytics can be applied in big as well as small businesses to support decision-making processes. In sense, each kind of business has its own
You may ask what big data analytics is. Well according to SAS, the leading company in business analytics software and services describes big data analytics as “the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions.” As the goal of many companies which is to seek insights into the massive amount of structured, unstructured, and binary data at their disposal to improve business decisions and outcomes, it is evident why big data analytics is a big deal. “Big data differs from traditional data gathering due to that it captures, manages, and processes the data with low-latency. It also one or more of the listed characteristics: high volume, high velocity, or high variety. Big data comes from sensors, devices, video/audio, networks, log files, web, and social media which much of it is generated in real time and in a very large scale.”(IBM) In other words, companies moving towards big data analytics are able to see faster results but it continues to reach exceptional levels moving faster than the average person can maintain.
As noted above , Big Data that is a collection of data capacity in excess of those assumed applications and traditional tools . Size of Big Data is increasing day by day , and by 2012 , it size was estimated around a few dozen terabytes to multiple petabytes ( 1 petabyte = 1024 terabytes ) only for a set of data only.
Currently the world has a wealth of data, stored all over the planet (the Internet and Web are prime examples), but it is needed to be understand that data. It has been stated that the amount of data doubles approximately
In our text we began our study of physics with motion because motion is a dominant characteristic of the Universe (Kirkpatrick, 21). In class we learned that speed is the distance traveled divided by the time taken, s=d/t. The definition of velocity is very close to that of speed except that direction of an object is also taken into account.
26). This dish was very simple and did not require too much time, but I was still able to gain an appreciation for the types of meals that are cooked by Moroccans. Many of the ingredients that were incorporated into this dish are also used in a vast variety of dishes within North Africa. The paprika, cumin garlic, parsley, and red pepper flakes gave this dish a unique flavor that is different from typical eggs and vegetables. There was a hint of spice that seasoned the eggs and vegetables perfectly. The eggs were soft and warm, while the vegetables added a slight unique crunchy and soft texture. Although this dish did not incorporate staple ingredients like lamb, bread, or fish, it did incorporate many of the spices and vegetables that are used in many dishes and on a daily basis. I was able to gain a great deal of appreciation for the types of meals that are prepared in a Moroccan
1.3.a. Volume/flow: The total number of vehicles that pass over a given point or section of a lane or roadway during a given time interval. It is the actual number of vehicle observed or predicted to passing a point during a given interval.
...ch Reips. ““Big Data”: Big Gaps of Knowledge in the Field of Internet Science.” International Journal of Internet Science 7.1 (2012): n. pag. Web. 16 Mar. 2014.
Big data will then be defined as large collections of complex data which can either be structured or unstructured. Big data is difficult to notate and process due to its size and raw nature. The nature of this data makes it important for analyses of information or business functions and it creates value. According to Manyika, Chui et al. (2011: 1), “Big data is not defined by its capacity in terms of terabytes but it’s assumed that as technology progresses, the size of datasets that are considered as big data will increase”.
The typical African, whether in a rural farming community or in the bustling city environment, takes great care to see that meals are properly served and eaten. Great attention is also given to how the meals are prepared and what are its constituents.