Big Data Assignment Help | Do My Big Data Assignment
Big data is a challenging subject. Many students find it tough to complete big data assignments due to the complexity of the data used in analysis. Not every student possesses the knowledge to solve big data problems as it is difficult to understand the structured and unstructured data and then solve the assignment. If you do not want to put your scores at stake, you can seek the help of our big data experts. We are available round the clock to offer you with big data assignment help. Our team helps you in writing the assignment flawlessly, and that is technically sound. We help you score good grades in the examination.
The big data is so complicated that there are no tools available to manage the massive data. There are no conventional tools that can store and process the data efficiently. Popular Big Data tools which students use for statistics assignment help and statistics homework help are:
- Stata wing
- IBM SPSS Modeler
- Oracle Data Mining
- Apache Hadoop.
- CDH (Cloudera Distribution for Hadoop)
- R Programming
- Apache Storm
What Is Big Data?
Data is a valuable asset for a company and has become a commodity for the society. There is a dire need for better methods to capture the data, store the data, and analyze the acquired information. There are many companies that know about the importance of collecting and analyzing data for the company's growth. Big data is nothing but treasure troves of data that can be in an unstructured or structured form.
Before you want to understand big data, it is critical for you to learn about data, which includes raw information that has facts and figures. There are many symbols and alphabets using which different operations must be carried out. The symbols and alphabets would be transferred in the form of an electrical signal and would be stored in the form of a magnetic signal. Big data is a part of data, but the data size would be enormous. The data keeps on multiplying over a period.
Best Examples of Big Data
There are real-life examples that you can witness for big data. You must learn about the big data before you start to write the assignment. Though it is tough, with practice, you can start to solve big data problems.
Some of the real-life examples of big data include:
- The stock exchange of the country would churn out a lot of data every day. The stock exchange can produce one terabyte of data in a day. So, the students can get an opportunity to work in stock exchanges or the stock markets. Knowledge of big data is also helpful.
- Big data is used in social media. It becomes easier for a student to get hold of big data topics with this example, as many can relate to it. Every student in an academic institution would be having social media accounts and would use it regularly for recreational or educational purposes. The study has shown that around 500 terabytes of data would be produced every day on social media. The data can be generated from image, video, or in the form of messages that are posted on social media accounts. Most of the people who are using social media do not know where the data would get stored eventually. They keep on producing the data.
- Flights would generate huge chucks of data. A single flight would generate around ten terabytes of data in half an hour. When you collate all the flights run by airlines, then the data would be massive. The data would hit petabytes.
Latest Trends In Big Data
Big Data is an evolving technology and hence is a part of ever college curriculum. Some of the recent industry trends of big data are listed below. Based on these trends, the universities deisgn assignments and homework.
- Big data analytics in the cloud
- Hadoop: The new enterprise data operating system
- Big data lakes
- Predictive analytics
- SQL on Hadoop: Faster, better
- Deep learning
- Hybrid transaction/analytical processing (HTAP)
This data is gathered from different sources. The big data topics can be complicated, and many students get scared to complete big data homework and assignment. However, if you do not want to take the pressure or stress of writing big data homework, you can get in touch with us. Our team will work on your assignment by doing extensive research and understanding the requirements given by the professors. We are the best in providing big data homework help services to global students.
Types Of Big Data
The data is generated everywhere. There are three different types of data available and our statistics assignment experts provide data mining assignment help for all 3 data types. The three data types are listed below:
Structured Data allows you to store, access, and format the information in a prescribed format to keep the data organized so that you can retrieve the information in a proper format. The structured data must be in a proper format and in the right manner. With the advent of technology, it is possible to structure the data in a proper manner. It has become easier for students to define the data as per their choice and requirement. The files would be of zeta bytes. There are many issues that are faced by people to retrieve the required information from huge data. There come challenges with the retrieval and processing of data. It is better to maintain a table in a proper structure.
If you know the data but do not have any idea about its format is known as unstructured data. The size of this data is enormous. There are many challenges and problems that are faced by the people to process and store the data. Heterogeneous data would have the data in different data types. The data can be in different formats such as video, audio, image, and so on. All this data would be stored in a single place. There will be a lot of data in the companies, but not many companies have an idea of how to store the data and derive the values for it. Because of the data stored in an unstructured format, it has become a big problem for companies to retrieve the value.
Semi-structured data is a form of structured data that does not conform with the formal structure of data models. The data can be in both structured and unstructured forms.
Why Do Students Seek Big Data Assignment & Homework Help?
Many students are showing interest in learning big data, which is a boom now in the technological world. The companies are hiring candidates with sound knowledge on big data and with good academic performance. Students cannot take the risk of losing their grades as it can take a toll on their career later.
Listed below are reasons why students should opt for big data subject in their coursework and seek assignment help in case they find it difficult to solve big data assignments.
- Big data can process huge files and convert them into smaller files.
- Big data can analyze huge data with ease.
- It allows companies to offer immaculate customer service
- It improves the operational efficiency
- It detects the risks in the products and services
If you are one of the students who opted for big data coursework but find it challenging to complete big data assignments, seek help from our experts. The Statistics Assignment Help website provides affordable, instant and accurate big data assignment help for all students.
You just have to message us saying - 'Do My Big Data Assignment' and we will take care of the rest!
Frequenly Asked Questions (FAQs) Related To Big Data Assignment Help
We cover all of the subjects covered in the big data course. We've already helped students with big data assignments on health status prediction, credit scoring, activity and cost data, and a variety of other topics. As a result, you can get assistance from our CS experts on any topic related to big data assignments.
Risk management, to name a few.
Identify the causes of failure in corporate policy and eliminate them in the future.
Customers receive special offers from time to time based on their purchases.
Detecting any potential fraud.
Types of analysis (Basic Statistics, Regression, Classification, Clustering ...)
Modes of analysis (Batch, Interactive, Real-time)
Illustrations (Static, Dynamic, Interactive)
Credit Risk Modeling and Air Pollution Monitoring are two examples. Customer Recommendations, Intrusion Detection, Smart Parking, Content Recommendation, Real-time health monitoring, Shipment Monitoring Optimizing the layout of your store Demand Prediction, Production Planning, and Control.
Customized and Dynamic Learning Programs, Reframing Course Material, Grading Systems, and Career Prediction are some of the options.
Volume, Velocity, Variety, Variability, and Complexity are some of the properties of Big Data.