Application of Big Data using

Application of Big Data using :

1. Pig :

 Pig is a high-level platform or tool which is used to process large datasets.

It provides a high level of abstraction for processing over MapReduce.

It provides a high-level scripting language, known as Pig Latin which is used to develop the data analysis codes.

Applications :

1. For exploring large datasets Pig Scripting is used.
2. Provides supports across large data sets for Ad-hoc queries.
3. In the prototyping of large data-sets processing algorithms.
4. Required to process the time-sensitive data loads.
5. For collecting large amounts of datasets in form of search logs and web crawls.
6. Used where the analytical insights are needed using the sampling.

2. Hive :

Hive is a data warehouse infrastructure tool to process structured data in Hadoop.

It resides on top of Hadoop to summarize Big Data and makes querying and analyzing easy.

It is used by different companies. For example, Amazon uses it in Amazon Elastic MapReduce.

Benefits :

1. Ease of use
2. Accelerated initial insertion of data
3. Superior scalability, flexibility, and cost-efficiency
4. Streamlined security
5. Low overhead
6. Exceptional working capacity

 

3. HBase :

HBase is a column-oriented non-relational database management system that runs on top of the Hadoop Distributed File System (HDFS). 

HBase provides a fault-tolerant way of storing sparse data sets, which are common in many big data use cases

HBase does support writing applications in Apache Avro, REST and Thrift.

Application :

1. Medical
2. Sports
3. Web
4. Oil and petroleum
5. e-commerce