Open Source Data
The popularity of open source data is on the rise as businesses seek collaborative ways to share information. In 2024, an increasing number of businesses are expected to embrace open source data for gaining insights and enhancing their operations. Open source data entails information made freely available to the public, allowing anyone to utilize, modify, and distribute it.
Features:
- Apache Hadoop and Spark ecosystems: These established platforms remain foundational, offering robust frameworks for data storage, processing, and analysis.
- Cloud-based open-source solutions: Companies like Google and Amazon are increasingly making their big data tools available in open-source versions, lowering barriers to entry.
- Machine learning & AI libraries: Frameworks like TensorFlow and PyTorch are leading the charge, democratizing access to the tools needed to build intelligent data applications.
Real-time applications of open source data:
- Using free data to analyze helps us understand how a business works.
- Free data is really important for teaching computers to learn better.
- Making pictures with free data helps businesses understand their information better so they can make smart choices. It’s the future of big data.
Top 10 Big Data Trends For 2024
Today, we live in a new digital age where things like Artificial Intelligence and Machine Learning have changed how businesses and society work. Big data trends have become important for understanding what’s happening in the market and making decisions for businesses. With so much data available, companies want to find better ways to use it. Big data trends have been especially helpful during the COVID-19 pandemic, boosting sectors like healthcare and online shopping.
It is expected that the big data market is going to shoot up to 200 USD Billion by 2025. So, let’s check out the Top 10 Big Data Trends for 2024.
List of Upcoming 10 Big Data Trends For 2024
- Growing IoT Networks
- More Approachable Artificial Intelligence
- The Rise of Predictive Analytics
- Cloud Migration of Dark Data
- The Rise of Chief Data Officers
- Quantum Computing
- Smarter and Tighter Cybersecurity
- Endpoint Security
- Cloud Security
- Open Source Data
- Data Democratization
- Data Ethics
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