Big Data

Big data refers to the massive volume of structured and unstructured data that inundates organizations on a daily basis. This data often comes from a variety of sources, such as social media, sensors, devices, and business operations. What makes big data unique is its volume, velocity, and variety, requiring advanced tools and technologies for storage, processing, and analysis. The value of big data lies in the insights it can provide, helping businesses make informed decisions, detect trends, and identify opportunities and challenges. Harnessing big data can lead to more effective marketing, improved operational efficiency, and better customer service. As it continues to grow, big data plays a pivotal role in shaping the future of business, technology, and decision-making processes across various industries.

The following is a list of big data programming languages, along with their features. We help clients find candidates with the respective knowledge.

Python: Data scientists and technical analysts prefer using this open-source programming language because it offers them multiple data manipulation and plotting libraries, such as Pandas and Matplotlib.
R is an open-source programming language that users utilise to work with graphics data visualisation and statistics. There is a wide range of graphical tools in R, along with open-source packages that help users visualise, model, manipulate and load data.
Scala, aka scalable language, is efficient language to process data. Supports both functional & object oriented programming (OOP), so now easy for users to utilize languages based on these programming models.
Java: Java for big data is helpful when programmers are implementing a theoretical model that they have created in Python. Big-data analysis is easy with Java, as it helps data scientists to process big data, manage higher prediction load and resize intricate ecosystems. Java and Scala form the basis for most platforms that store and process data such as Hadoop Distributed File System, also known as HDFS, which is a big-data platform for data storage and processing.
C++: When technical experts are working with complex machine-learning algorithms, they may often process data sets in terabytes and petabytes. To complete such tasks quickly, they may use C++, as this platform can process data in gigabytes in just a few seconds.