Question

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 _____ platform, which also includes cloud computing, ____ devices, and social networking. The five Vs of big data are high volume, high ____, diversified variety, unknown veracity, and low-____ value. Although SQL and relational databases can be used for big datasets, a collection of alternative tools referred to as ____ has become popular. These tools work well when databases scale _____ (horizontally) and when databases are broken into subsets called ____. Modern database tools also handle ____ scaling as devices are added when additional capacity is required. NoSQL tools are sometimes said to create ____databases, but they usually have some type of structure, though it may be more flexible than the relational model. A key- ____ data model provides each data element with a key. A(n) ____-oriented data model makes it easy to access data stored in similar fields, rather than in individual records. Two very popular NoSQL tools include _____, which is a big data file system, and ____, which sends processing logic to the data, rather than bringing the data to the computer that performs the processing.

Answer 1

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.