It is a process or procedure to find the optimized routing. It is done with the use of various variables for transport to improve efficiency and reduce costs of the fuel.
The data, not represented in the traditional manner with the application of regular methods is known as semi-structured data. This data is neither totally structured nor unstructured but contains some tags, data tables, and structural elements. Few examples of semi-structured data are XML documents, emails, tables, and graphs.
The server is a virtual or physical computer that receives requests related to the software application and thus sends these requests over a network. It is the common big data term used almost in all the big data technologies.
SQL is a standard programming language that is used to retrieve and manage data in a relational database. This language is very useful to create and query relational databases.
The analysis of spatial data i.e. topological and geographic data is known as spatial analysis. This analysis helps to identify and understand everything about a particular area or position.
It is a connectivity tool that is used to move data from non-Hadoop data stores to Hadoop data stores. This tool instructs Sqoop to retrieve data from Teradata, Oracle or any other relational database and to specify target destination in Hadoop to move that retrieved data.
Apache Storm is a distributed, open source, and real-time computation system used for data processing. It is one of the must-known big data terms, responsible to process unstructured data reliably in real-time.
It is a programming language and an environment for the graphics and statistical computing. It is very extensible language that provides a number of graphical and statistical techniques such as nonlinear and linear modeling, time-series analysis, classical statistical tests, clustering, classification etc.
It is a software framework that is used for the development of the ascendable cross-language services. It integrates code generation engine with the software stack to develop services that can work seamlessly and efficiently between different programming languages such as Ruby, Java, PHP, C++, Python, C# and others.