With dedication to Mrs. A. Wasiak

Big data is a term for data sets that are so large or complex that traditional data processing application softwares are inadequate to deal with them. Challenges include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. The term "big data" often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.

WHAT IS BIG DATA?

is for scalability

A scalable application platform not only accommodates rapid growth in traffic and data volume (scaling up) but also adapts to decreases in demand (scaling down). Such an elastic, on-demand database would be valuable in a world where the ebb and flow of data is constant, yet unpredictable. A good example of such a situation is operating an application in a public cloud. In this scenario, managing costs is essential. When resources are not required, reducing usage is vital; otherwise, significant waste is incurred, threatening the economic viability and profitability of the application provider.

is for optimization

Big Data is created with 4 dimensions(4V):

* volume – the amount of data, counted in counted in tera- or petabytes

* variety – the variety of data which comes from different sources

* velocity – the velocity of collecting data and analysing in real time

* value – the value of data, from

is for facilitation

Big data gives us the best facilities to adjust information and ads to our searchings and what we are actually interested in.

Some people say that this is privacy theft, but they don't know that it becomes easier to find something really helpful and useful just by using a big data.

Big Data is good innovation for every businesses which are operating on big amounts of data.

There are thousands of Big Data tools out there. All of them promising to save you time, money and help you uncover never-before-seen business insights. And while all that may be true, navigating this world of possible tools can be tricky when there are so many options.

Tools for Big Data