Technology giants such as Apple and Amazon are seamlessly integrating into our daily lives through a mechanism known as Big Data Technology. This technology is utilized to manage sales, enhance supply chain efficiency, and predict future trends for operational analytics. Big data is primarily leveraged through two main technologies, which are further divided into four key components.

Figure 1. Must-Know Big Data Technologies for 2025.

Applications of Big Data Technologies

Big data technology has a wide range of applications across various industries. Some notable areas include: Figure 1 shows Must-Know Big Data Technologies for 2025.

• Healthcare:Big Data is used to analyze patient data, allowing for personalized medicine plans. It also helps predict disease outbreaks and optimizes treatment strategies, enhancing healthcare operations.
• Finance: In the finance sector, Big Data is leveraged for fraud detection and provides insights into customer segmentation, helping target specific market segments.
• E-Commerce:Big Data technology enables the creation of recommendation engines for personalized shopping experiences, improving customer engagement.
• Education:It aids in the development of adaptive learning platforms that offer personalized education and provides insights into student performance analytics.
• Retail: Big Data allows retailers to analyze customer behavior for targeted marketing, along with optimizing inventory management and pricing based on market trends.

Types of Big Data Technology

Big Data Technologies are primarily categorized into two types: Operational Big Data Technologies and Analytical Big Data Technologies.

Operational Big Data Technologies

This category focuses on the data used in day-to-day operations, such as online transactions, social media activity, and organizational data. Operational big data is often raw data that serves as input for Analytical Big Data Technologies. The key benefit here is using software based on big data to analyze this data for immediate insights.

Examples of Operational Big Data Technologies include:

• Data from social media platforms like Facebook and Instagram
• Online ticket booking systems

Analytical Big Data Technologies

Analytical Big Data refers to a more advanced form of big data technology. It is typically more complex and is used to analyze performance metrics and make critical business decisions based on reports derived from operational analytics. This form of big data is essential for thorough business decision-making, leveraging data insights for strategic planning.

Leading Big Data Technologies

• Apache Hadoop
• Apache Spark
• Apache Kafka
• Apache Flink
• Google BigQuery
• Amazon Redshift
• Snowflake
• Databricks
• MongoDB
• Elasticsearch
• Tableau
• TensorFlow
• Power BI
• Looker
• Presto
• DataRobot
• Hadoop HDFS (Hadoop Distributed File System)
• Kubernetes

Advanced Big Data Tools and Platforms

As Big Data continues to grow in complexity, more specialized tools and platforms are emerging to help businesses extract value from massive datasets. These tools are enhancing data management, analysis, and visualization, making it easier for organizations to interpret and leverage data for operational success.

Source: simplilearn

Cite this article:

Priyadharshini S (2025), Essential Big Data Technologies to Know In 2025,AnaTechMaz, pp.100