PREVIOUS QUESTION & ANSWER

Q :

After reading Chapter 1 in your textbook, please provide a brief response to the following assessment questions.

In your own words, how would you define Big Data Analytics?

What are the 3 Vs of Big Data, explain?

What are the characteristics of Big Data?

A :

Definition of Big data analytics

Data is nothing however the information that is on hand in all places in specific forms. It can be number, alphabet or symbols that are unorganized in structure which varieties thoughts or objects. Example experimental data that is accumulated by means of observation and recording for scientific research.

Big data analytics is nothing but giant information units that are used to analyze in order to set up the tendencies and patterns which influence conduct and interactions. These data are both structured and unstructured and includes large amount of statistics associated to day by day commercial enterprise activities. These facts are analyzed to take knowledgeable enterprise decisions.

The 3 Vs of Big Data

3V's is a time period used to outline the one-of-a-kind attributes of large data: volume, range and velocity. In 2001, the 3V's term used to be coined to outline the constructs or attributes that make up an organization's stored and owned information repositories. 3V's is now used to outline the tendencies and dimensions of huge data. (Somani, A. K., & Deka, G. C. 2018).

Volume:

Volume refers to the quantity of dat.Volume is the V most associated with massive information because, well, quantity can be big. What we're talking about right here is quantities of statistics that reach nearly incomprehensible proportions.

Big information implies big volumes of data. It used to be personnel created data. Now that facts are generated by machines, networks and human interplay on structures like social media the volume of information to be analyzed is massive. Yet, Inderal states that the quantity of records is not as a good deal the problem as different V’s like veracity.

Variety:

Variety refers to the range of types of data.

Variety refers to the many sources and sorts of data both structured and unstructured. We used to save information from sources like spreadsheets and databases. Now facts comes in the structure of emails, photos, videos, monitoring devices, PDFs, audio, etc. This variety of unstructured statistics creates problems for storage, mining and analyzing data. Jeff Veis, VP Solutions at HP Autonomy introduced how HP is assisting businesses deal with massive challenges which includes records variety. (Mondal, A. 2018).

Data can be saved in multiple formats. For example database, excel, csv, access or for the rely of the fact, it can be stored in a simple textual content file. Sometimes the records is no longer even in the usual format as we assume, it can also be in the structure of video, SMS, pdf or something we would possibly have now not notion about it. It is the want of the corporation to arrange it and make it meaningful. It will be easy to do so if we have statistics in the equal format, then again it is not the case most of the time. The actual world has data in many specific codecs and that is the assignment we need to overcome with the Big Data. This range of the statistics represents Big Data.

Velocity:

Velocity refers to the speed of facts processing.

Big Data Velocity offers with the pace at which facts flows in from sources like business processes, machines, networks and human interplay with matters like social media sites, cellular devices, etc. The flow of statistics is huge and continuous. This real-time data can help researchers and corporations make valuable decisions that furnish strategic competitive advantages and ROI if you are able to take care of the velocity. Inderpal propose that sampling data can help deal with troubles like quantity and velocity.

The common characteristics of Big Data

1) Volume – Main and predominant characteristics of large facts is sheer volumes that is a great deal challenging to procedure and storage. In large facts there is experience of focusing on minimal storage devices due to the fact every year data is growing leaps and bounds. Company is each and every year creating gadget for facts storage but facts is growing rapidly.

2) Variety- Big records has a range of exceptional data that relates to the one of a kind sectors, fields etc. Variety of data is producing plenty task to control and filter the data. As we know with the creating technological know-how records come to be greater and more digitalized. There are numberless structured and unstructured records on hand over the one-of-a-kind media like Twitter, Facebook and Instagram. (Somani, A. K., & Deka, G. C. 2018).

3) Value –Big statistics has precious data that useful in distinct potentialities however many records are ineffective and waste. Data are beneficial in improvement of new plans, market research, business development, discovering new medicinal drug for curing the fatal disease.

4) Velocity- Velocity is the frequency of incoming statistics that need to be processed. As we can assume over the how information are coming thru Facebook status, SMS messages and different deposit card or debit card swipe on every fraction of minutes.

 


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