Technology of bigdata

INTRODUTION OF TIME SERIES A time series is just a collection of data points that occur in a logical order across time. On the other hand, cross-sectional data represents a single point in time. A time-series graph shows the evolution of a set of data points over time, such as the price of an asset, with data points recorded at regular intervals. There is no need that the data be gathered for a specific period of time, allowing the data to be collected in a fashion that delivers the information that the investor or analyst investigating the activity requires. Time-series data may be used to anticipate or predict future data based on past data. Aim Of Time Series Describe the data Fit a model Forecast future values Look for connection with other time series Decide if process is out of control Time Series Analysis Time-series analysis is a technique for examining a set of data points across time. Instead of randomly recording data points, time-series analyzers record data points at regul

Python :   Python is a dynamic, high-level, and interpreted programming language with many uses. It makes utilizing an Object-Oriented programming technique to create apps easier. It's easy to learn and has a variety of high-level data structures. •Python is a powerful and flexible programming language that is simple to learn. It is ideal for application development. •Python's syntax, dynamic type, and interpretability make it an excellent language for scripting and rapid application development. • Python supports object-oriented, imperative, functional, and procedural programming methods. • Python isn't designed for certain jobs, such as web development. Because it can be used with online, enterprise, 3D CAD, and other applications, it is known as a versatile High level language :   • A high-level language is any programming language that enables for the creation of programming in a much more user-friendly programming environment that is unaffected by the system's hard