Top Big Data Technologies You Must Know in 2025
Top Big Data Technologies You Must Know in 2025

Technology giants like Apple and Amazon are seamlessly integrating with us in our day-to-day lives, using a specific mechanism called Big Data Technology. This technology is used to manage sales, improve supply chain efficiency, and predict future outcomes to perform operational analytics. Big data can be used with basically two technologies, which are further divided into four important sections.
What Is Big Data Technology?
Big Data Technology refers to the software tools that are used to manage types of datasets and transform them into useful data for businesses. This technology analyzes, processes, and extracts valuable information from a huge set of data containing complex structures. Big data technology is widely connected with emerging and latest technologies like Machine Learning(ML), Artificial Intelligence (AI), and the Internet of Things(IoT).
Applications of Big Data Technologies
Big data technology has numerous applications in different fields. Some recognized areas of applications include: Healthcare: Big Data Technology is used to analyze data of patients to personalize medicine plans. It also offers predictive analysis for disease outbreaks and is efficient in devising treatment plans to optimize healthcare operations efficiently.
Finance: This technology offers valuable insights into the field of finance for the detection of fraud. It also provides customer segmentation for the target market.
E-Commerce: Big Data Technology gives valuable recommendation engines for personalized shopping experiences.
Education: This technology helps in creating adaptive learning platforms for personalized education and offers insights into students' performance analytics.
Retail: Big Data Technology helps retailers perform customer behavior analysis for personalized marketing. It also focuses on inventory management and price optimization techniques based on market trends.
Types of Big Data Technology
Big Data Technology is primarily divided into two types: Operational Big Data Technologies and Analytical Big Data Technologies.
Operational Big Data Technologies
This type of big data technology focuses on the data that people use to process. Typically, the operational-big data includes data such as online transactions, social media platforms, and data from any particular organization. The operation analytics benefit is the analysis using software based on big data technologies. The data can also be called raw data used as the input for several Analytical Big Data Technologies.
Some examples of Operational Big Data Technologies include: Data on social media platforms like Facebook and Instagram
Online ticket booking systems
Analytical Big Data Technologies
Analytical Big Data is an enhanced version of Big Data Technologies. This type of big data technology is complex when compared to operational big data. Analytical big data is mainly used when performance metric is used and important business decisions are to be made based on reports created by analyzing operational analytics. This means that the investigation of big data is important for business decisions.
Web Site : sensors.sciencefather.com
Visit Web Site : sciencefather.com
Nomination Link : https://sensors-conferences.sciencefather.com/award-nomination/?ecategory=Awards&rcategory=Awardee
Contact as : sensor@sciencefather.com
Social Media
Twitter :https://x.com/sciencefather2
Pinterest : https://in.pinterest.com/business/hub/
Linkedin : https://www.linkedin.com/feed/
#ScienceFather, #Researchaward,#UltrasonicSensor, #AmmoniaDetection, #GasSensorTechnology, #IndustrialSafety, #EnvironmentalMonitoring, #RealTimeMonitoring, #NonInvasiveDetection, #AmmoniaLeakDetection, #AgriculturalSensors, #IoTSensors, #AirQualityMonitoring, #UltrasoundTechnology, #GasMeasurement, #ToxicGasDetection, #SmartSensors, #RefrigerationSafety, #MedicalDiagnostics, #PrecisionAgriculture, #EnergyEfficientSensors, #RemoteMonitoring #EconomicResearcher, #PublicHealthResearcher, #Anthropologist, #Ecologist,
Comments
Post a Comment