Here are some of the latest trends in data analytics and big data:

1. AI and Machine Learning Integration: AI and machine learning are increasingly being integrated with data analytics to provide predictive insights, automate processes, and enhance decision-making. These technologies enable more sophisticated data analysis, uncovering patterns and trends that were previously undetectable.
2. Real-Time Analytics: There is a growing demand for real-time data processing and analytics. Organizations want to make immediate, data-driven decisions, leading to the adoption of technologies that can handle streaming data and provide instant insights.
3. Edge Computing: Edge computing is gaining traction as it allows data processing closer to the data source, reducing latency and bandwidth use. This is particularly important for IoT devices and applications requiring real-time analytics.
4. Data Privacy and Security: With increasing data breaches and privacy concerns, there is a heightened focus on data security and compliance. Techniques like data anonymization, encryption, and secure multi-party computation are becoming more prominent.
5. Augmented Analytics: This trend involves using AI and machine learning to enhance data analytics by automating data preparation, insight generation, and explanation. Augmented analytics tools help users without advanced technical skills to analyze data and generate insights more effectively.

These trends reflect the evolving landscape of data analytics and big data, emphasizing the importance of speed, security, and the integration of advanced technologies.