What is required for big data analytics?

### Requirements for Big Data Analytics:

1. **Data Sources:** Large volumes of data from various sources like social media, sensors, and databases.
2. **Data Storage:** Scalable storage solutions such as Hadoop Distributed File System (HDFS) or cloud storage like AWS S3.
3. **Data Processing Tools:** Technologies like Apache Spark and Hadoop to process and manage large datasets.
4. **Data Analysis Tools:** Software for statistical analysis and machine learning, such as R, Python, and SQL.
5. **Data Visualization Tools:** Platforms like Tableau, Power BI, or custom dashboards to visualize insights.
6. **Infrastructure:** High-performance computing resources and scalable cloud services.

### Summary:
Big data analytics requires robust storage, processing, and analysis tools to handle and make sense of large volumes of data.