What Is Big Data?

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Getting a Handle on Large Information

Understanding Big Data is a challenging task for a computer programmer, computer science major, business person, and a writer. First, you must learn the basics of Big Data Analysis and this involves an analysis of data sources and collection of data.

When I say ‘data sources’ it means source of data collection. These can be from email, Web-based applications, forums, chat, search engine results, television, social networking, SMS, satellite images, photograph, Twitter stream, file downloads, motion capture, photographs, cell phone calls, information from sensors etc. which are classified into 3 types; simple, multipurpose and complex.

The purposes of collecting the data may vary. Example; digital video camera is one of the digital devices that collects and stores the information from the camera.

Big Data can be defined as any collection of information that a computer can access and make use of to compute, analyze and make decisions. The primary use of such data is in reporting to create reports, gather results from research or to formulate strategic plans.

In business, new product development is often performed by the processing of information. A real world example is purchasing decision of a dealer for a product. These decisions may be based on the consumer responses, purchase history of a product and past experiences with the product in relation to cost, fit, features and performance.

Data has many different uses, although most of them are not known to us. One example of data usage is weather forecast, traffic reports, environmental considerations and so on.

Data is comprised of both text and visual representation. Text is basic textual data which is present in database, document, XML, HTML etc. and visual representation is usually depicted using images or pictures.

What is Big Data? The term can be defined as a dynamic, semi-structured collection of data, texts, images, audio and video.

The following are some of the examples of Big Data, the examples include environmental data, trends in TV viewers, communication data, social media activity, real-time weather forecasts, online market, stock market, traffic data, sales charts, airline schedules and so on. The use of Big Data can encompass a wide range of situations.

When the data is available in a structured format, a special algorithm can be implemented to analyze the data and derive desired conclusions. This is accomplished by means of the following algorithms: word count, similarity, similarity index, cluster analysis, principal component analysis, document clustering, and many more.

When a program is made to process information and makes logical conclusions based on the data in Big Data, the program is called Big Data Analysis. Some of the big data analysis programs include but are not limited to Apache Spark, Excel, Hadoop, SQL (Vistax, Redshift), Julia, Apache SQL, Hive, Stats, HivePig and SQL Validation.

Thus, when we look at the answers of Big Data, we can see that there are many questions that we need to answer, but only few of them answers are as simple as “what is Big Data”? So let’s keep on asking the question and find the answers to what is Big Data.

How is Big Data Used?

Big data is a term that has come to be defined by an ever-growing group of people. These new data collectors use a number of different tools, but the most effective method they use is the internet and the multiple tools that are available to them for the purpose of analysis and interpretation.

What is big data? This is the concept of data that has many characteristics such as the massive amount of information that has been accumulated in a short period of time or even for the duration of one year. Therefore, large amounts of data need to be processed and stored for analysis.

Understanding big data involves the ability to utilize various data management systems, data mining tools, and analysis software. All of these tools and techniques are available online.

Data Mining and Analysis. The first tools that are used for this type of analysis are specialized data mining tools and software.

Tools such as basic database tool, SQL script, and simple text processing are used for this. For example, when a user searches for a particular keyword in a large database, a simple SQL query can be run on the database, which will return the records associated with that particular keyword.

Another approach to this is to use tools such as R (which stands for the R Programming Language) to analyze the raw data and then run different sets of algorithms on the data to obtain new insights. Another common feature is the creation of new infographics.

Next, comes the creation of new charts using a system called data mining. Charting tools that use internet technologies allow users to create new and effective infographics.

In fact, one of the first tools that were created for data mining and infographics was Chartman. This system is meant to help users create infographics based on the data that has been collected.

What is big data? This is the concept of data that has many characteristics such as the massive amount of information that has been accumulated in a short period of time or even for the duration of one year.

Tools such as basic database tool, SQL script, and simple text processing are used for this. For example, when a user searches for a particular keyword in a large database, a simple SQL query can be run on the database, which will return the records associated with that particular keyword.

Tools such as R (which stands for the R Programming Language) to analyze the raw data and then run different sets of algorithms on the data to obtain new insights. Another approach to this is to use tools such as Chartman.

When people begin to understand big data, many tools and methods are developed. As more people continue to realize how useful these tools can be, new and exciting applications are created as the methods continue to evolve.