Future of Big Data Trends 2024 and Essential Big Data Technologies You Must Explore
Big data has become an increasingly important topic in the recent years. Huge amounts of data are being stored, analyzed, and mined by industries around the world in order to gain a better understanding of their customers and potential investors.?
3.5 quintillion bytes — that’s the amount of data that was created every day in 2023.
With more big data available than ever before, it is becoming eye-opening for many different business concepts to use this resource effectively.
The worldwide big data market is backed by the expansion of the big data and business analytics market, reaching?USD 311.72 billion in 2023. ?It is projected to continue growing at a rate of 14.9% from 2024 to 2032, aiming to reach USD 1088.06 billion by 2032.
The biggest trends for the future of big data sector are about to see new technologies. In this blog, we'll examine the future of big data technologies by 2024 and supply you with skills you can use today.
Future of Big Data Trends 2024: Top 7 Trends to Follow
The future of big data and analytics is more
exciting than ever.
Big data is the fastest-growing technology in the world and has been for years. Big data refers to a large amount of data that can be analyzed, stored, and processed over time to yield insights into patterns, trends, and correlations that were previously impossible to predict.
Let's have a look at the latest big data trends that are expected to make an impact in 2024:
Real-time Stream Processing for Big Data Insights
Making sense of the deluge of unstructured data is a real challenge. In order to scale, businesses need to be able to harness that data at scale and analyze it in real-time so they can make sense of it, regardless of whether it's being generated in near-real-time or at any point in the past.
This is where stream processing comes into play. Stream processing is an approach that allows businesses to process streams of data in real-time instead of batch processing. Stream processing enables businesses to gain insights from streaming data by analyzing it on demand and continuously feeding new events into the system as they occur.
AI Trust, Risk and Security Management (AI TRiSM)
The security industry is undergoing a fundamental shift as artificial intelligence technology becomes more widespread in our lives. As artificial intelligence (AI) technology evolves, so too does its ability to help us better protect ourselves from cyber-attacks at home and abroad.
AI TRiSM will be instrumental in helping organizations understand how AI technology can impact their business operations and security goals.
Continuous Threat Exposure Management (CTEM)
Continuous Threat Exposure Management (CTEM) is a Big Data analytics platform that provides real-time threat intelligence. It analyses the massive amount of data collected by different IT systems, including virtual machines, cloud servers, and IoT devices, to identify new threats and provide actionable information for organizations to protect themselves from cyber-attacks.
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Sustainable Technology Platform Engineering
Sustainable Technology Platform Engineering (STPE) is a technology stack for creating connected applications that are built on top of cloud infrastructure.
STPE enables developers to build applications using open-source software and services while ensuring that they have access to all their dependencies at runtime.
STPE also allows developers to work with multiple programming frameworks without having to learn new languages or frameworks every time they want to change their application's architecture.
AI-Augmented Development
The biggest big data trend to watch out for is AI-augmented development. This will allow for more effective development, which means less time spent on tedious tasks and more time spent on bettering your product or service.
By using AI tools such as machine learning, developers can train their systems to learn patterns in data and then apply those patterns automatically. This is expected to be especially useful for mobile apps where user behavior can be tracked based on location and other factors like what they are doing at that moment.
Industry Cloud Platforms
Industries are beginning to develop their cloud platforms for use by all members of their organizations. These platforms will provide ease-of-use and cost savings for customers as well as provide a platform for developers to build applications that can be accessed from any location at any time.
Intelligent Applications
As technology advancements continue, new intelligent applications will become available that can help improve your business operations. These applications will make it easier than ever before to manage your organization's operations while reducing costs or increasing revenue opportunities.
Latest Big Data Technologies You Must Explore
Here are some of the latest big data technologies that you might want to explore:
Acing the Landscape of Big Data Trends 2024 and Key Technologies with Developers Den
As we delve into the Future of Big Data Trends in 2024, the landscape promises innovation and transformative technologies. Embrace the essential Big Data technologies shaping tomorrow's solutions.
For cutting-edge custom AI software and effective Big Data problem-solving, connect with Developers Den . Navigate the future intelligently and unleash the power of data to drive success.
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Data Analyst at Commerce Pulse
8 个月Great article outlining the future of Big Data in 2024. The statistics on data creation and global market trends add a solid foundation to the narrative. The emphasis on real-time stream processing, AI trust, and other key trends is on point. The inclusion of the latest technologies provides a practical guide for professionals in the field. Well done for delivering an informative and forward-looking piece. Engage with Commerce Pulse, for tailored data engineering services and advanced Big Data issue resolution. #bigdata #techtrends #datascience