The Top 5 Trends in Big Data for 2020: What You Need to Know
Big data has been a buzzword for a while now. But as we move into 2020, it’s more important than ever to stay on top of the latest trends, technologies, and tools. Here are the top five trends in big data that you need to know:
Trend 1: Artificial intelligence combined with big data
The combination of big data and artificial intelligence (AI) is where the real magic happens. AI can help businesses make sense of all the data they have collected. With AI, businesses can automate processes and detect patterns that would otherwise be impossible to discover. The use of machine learning algorithms can predict consumer behavior, optimize supply chain logistics, reduce fraud, and even inform public health policies.
Trend 2: The rise of edge computing
Edge computing is an emerging technology that is revolutionizing the way data is collected and processed. Essentially, edge computing is a decentralized approach to data processing. Instead of sending data to a central location, like a cloud server, edge computing processes data at or near the source of the data. This reduces latency and improves speed, making it ideal for the Internet of Things applications, where data is collected from multiple devices and sensors.
Trend 3: The adoption of blockchain technology
Blockchain technology is no longer just associated with cryptocurrencies such as Bitcoin. Its decentralized nature ensures that data is secure and transparent. This makes it an ideal technology for businesses that want to secure their data and remain compliant with data protection laws such as GDPR.
Trend 4: The growth of the data fabric concept
Data fabric is a way of managing and integrating data from multiple sources, in different formats and locations. The goal is to create a complete view of the data, making it easier to interpret, visualize, and analyze. This approach allows businesses to make smarter decisions based on more accurate and complete data.
Trend 5: Augmented analytics
Augmented analytics uses machine learning algorithms to automate data preparation, insight discovery, and sharing. It analyzes and draws insights from data, which reduces the need for human input. It is becoming essential to stay competitive in the era of big data.
Conclusion
To stay ahead of the curve, it’s essential to keep a close eye on the top trends in big data. These five trends are essential to the ongoing success of any business that relies on data to make decisions. Businesses that embrace these trends will reap the rewards of smarter decision-making, improved efficiency, and customer satisfaction.
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