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Ever since search engines became popular, searching online to learn is an important functionality. For all platforms and solutions, a search option is a must. People expect websites to include a search box. Search functionality using a search box is much more effective than scrolling and navigating through folders. It saves time and reduces the difficulty. Being a very popular collaboration and communication platform in modern workplaces, Microsoft Teams search is a hot topic. According to Microsoft 365 Corporate Vice President – Jeff Teper, Microsoft Teams consists of 145 Million Daily Active Users. Increased number of users means 10 times more searches. Understanding the demand and high expectations, Microsoft managed to make the search process easier and advanced in Teams. In this blog, we will explain how to search in Microsoft Teams effectively.
Finding relevant content in the SharePoint Online environment is easy. We have talked about it earlier! Today, we are going to present you some vital information about how you can make sure that your content can be found while searching. The basic process in getting that done is by letting the content crawled and entered to the search index. This is how Google and other search engines work, and the same thing applies here too. Here are the deciding elements in SharePoint Online content discovery.
The first part of this blog series explained a list of elements which can be managed to guarantee relevant search results in SharePoint Online. This part explains the rest of the elements in the list. Let’s see what are the other factors that can be managed to show the right results in SharePoint Online.
Structuring the search architecture essentially depends on the fact where the user intends to use search i.e. the enterprise or Internet sites. The search architecture consists of search components and databases. While building the search architecture, there are different factors to be considered including fault tolerance, volume of your content, high availability, estimated amount of page views and queries per second, etc.
