Answer:
3rd;mobile;velocity;NoSQL;out;shards;dynamic;schema-less;value;column;Hadoop;MapReduce.
Explanation:
Big data refers to huge collections of data that are difficult to process, analyze, and manage using conventional data tools. It is a core component of the 3rd platform, which also includes cloud computing, mobile devices, and social networking. The five Vs of big data are high volume, high velocity, diversified variety, unknown veracity, and low-density value. Although SQL and relational databases can be used for big datasets, a collection of alternative tools referred to as NoSQL has become popular. These tools work well when databases scale out (horizontally) and when databases are broken into subsets called shards. Modern database tools also handle dynamic scaling as devices are added when additional capacity is required. NoSQL tools are sometimes said to create schema-less databases, but they usually have some type of structure, though it may be more flexible than the relational model. A key-value data model provides each data element with a key. A column-oriented data model makes it easy to access data stored in similar fields, rather than in individual records. Two very popular NoSQL tools include Hadoop, which is a big data file system, and MapReduce which sends processing logic to the data, rather than bringing the data to the computer that performs the processing.
Answer: Stratified sample
Explanation:
For preparing samples of various data of companies and enterprises we need to apply probability distribution to different samples of data. Here in the question we are to apply a representative sample from a list of 200 customers who have complained about errors in their statement. So here we can apply stratified sampling where we can divide the 200 customers into separate groups. These sub groups of the customers are known as stratas. These stratas are selected based on certain characteristics which can be identified among the customers group. Here we can form subgroups based on the type of complain that has been lodged by the customer and selecting 5 customers from four zip codes. Then it would be easy to apply probability distribution to the sub groups to derive information from them.
This process would also enable a more easier and cheaper way of sampling the customer data.
Answer:
This is your answer please check this ✔
An LDS must have all direct identifiers removed.
According to the HIPPA policy, a Limited Data Set (LDS) is a kind of data set in which direct identifiers are removed.
Limited Data Set (LDS) is a set of data that can be used for research purposes under the HIPPA policy without any authorization from the patient. However, this kind of data ensures that any kind of identifier information such as the patient's name, relative's name, address, number etc is not shared and not made a part of the research.
Limited Data Set (LDS) shows common information like age, city, and gender information from the data.
The Limited Data Set (LDS) is available to only those researchers with whom the data use agreement has been signed.
To learn more about Limited Data Set (LDS), click here:
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