You are tasked with analyzing a substantial volume of social media posts on a daily basis. Your primary objectives include achieving this with minimal cost and using the fewest steps possible. Here are your specific requirements: ✑ Batch-load hundreds of thousands of social media posts once per day. ✑ Utilize the Cloud Natural Language API to process these posts to extract topics and sentiment. ✑ Store the raw social media posts for archiving and potential reprocessing needs. ✑ Develop and share dashboards with stakeholders both within and outside the organization. Given these requirements, you need to determine the most effective strategy for storing the data extracted from the Cloud Natural Language API for analysis, in addition to archiving the raw social media posts for historical reference. What approach should you take?