Explain various Big data Analytical Tools that are utilized for creating anapplication.

Sure, here are some of the most commonly used big data analytical tools:

1. Hadoop: This is an open-source software framework that is used for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power, and the ability to handle virtually limitless concurrent tasks or jobs.

2. Apache Spark: This is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

3. NoSQL Databases: These are non-tabular databases, which are very useful for storing unstructured data. Examples include MongoDB, CouchDB, and Cassandra.

4. Hive: This is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.

5. Pig: This is a high-level platform for creating MapReduce programs used with Hadoop. The language for this platform is called Pig Latin. Pig Latin abstracts the programming from the Java MapReduce idiom into a notation which makes MapReduce programming high level, similar to that of SQL for RDBMS systems.

6. Tableau: This is a data visualization tool that is used for data science and business intelligence. It can create bar charts, maps, scatter plots, etc. to visualize data and make it easier to understand.

7. PowerBI: This is a business analytics tool developed by Microsoft. It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on information technology staff or database administrators.

8. QlikView: This is a business discovery platform that provides self-service BI for all business users in organizations. With QlikView, users can analyze data and use this data to support decision making.

These are just a few examples of the many big data analytical tools available. The choice of tool would depend on the specific requirements of the application being developed.