When setting up Hadoop on ARM64 architecture, there are a few essential considerations to ensure successful deployment and avoid potential issues. ARM64 is a 64-bit architecture used in many mobile devices, IoT devices, and server environments. Here are some key points to keep in mind:

1. Compatibility: Make sure that the version of Hadoop you are using supports the ARM64 architecture. Some older versions of Hadoop might not be compatible out of the box. Check the official Hadoop documentation or community forums for information on ARM64 compatibility.
2. Operating System: Choose a Linux distribution that supports ARM64, such as Ubuntu, CentOS, or Debian. Ensure that the distribution you select has a robust ARM64 package repository for Hadoop components.
3. Java: Hadoop is built on Java, so ensure that the appropriate Java Development Kit (JDK) for ARM64 is installed on your system. OpenJDK is a commonly used option for ARM64 platforms.
4. Hadoop Version: Use a Hadoop version that is known to work well on ARM64. Newer versions of Hadoop are more likely to have improved support for diverse hardware architectures.
5. Dependencies: Check and install any required dependencies for Hadoop on ARM64. This could include libraries, compilers, and other software components.
6. Configuration: When configuring Hadoop, consider any architecture-specific settings necessary for ARM64. These could include memory allocation, thread counts, and other hardware-related arrangements.
7. Testing: Before deploying Hadoop in a production environment, thoroughly test your setup on ARM64 hardware. This will help identify any issues or performance bottlenecks that must be addressed.
8. Community and Support: Join relevant communities or forums where developers discuss Hadoop on ARM64. This resource can be valuable for troubleshooting, sharing experiences, and learning from others who have successfully deployed Hadoop on this architecture.
9. Optimization: Since ARM64 has different hardware characteristics than x86_64 architectures, consider optimizing your Hadoop configuration for ARM64. This could involve tweaking memory, disk I/O, and CPU utilization parameters.

By carefully considering these factors and following best practices, you can successfully set up Hadoop on ARM64 architecture and reduce the chances of your emails being marked as spam when sending bulk messages.