標題: How To Use Data Analysis [打印本頁] 作者: Noyon123 時間: 2024-3-9 16:26 標題: How To Use Data Analysis To Generate New Content Ideas 4. Scaling big data systems while being cost-efficient Big data systems are great because they are often easy to scale, but you have to have your plans for keeping track of data and cycling old data out. That’s why your team has to determine the types of data you’ll collect, how it will be stored, and how it will be used before implementing a data system. For example, you may want to use a repository in the cloud, but when doing so, it could make more sense to have Parquet files to store like data together. If you have no method of organizing your data, you could find that it’s much harder to retrieve what you need and that it’s harder to manage your data as you continue adding more when your company grows.
As an added benefit, keep in mind that Parquet files generally have a greater performance-to-cost ratio than CSV dumps). 5. Expensive growth due to increased storage needs With such an abundance of data, it’s easy to save more than you are right now Bahrain WhatsApp Number once you convert to a cloud-based data solution. The cloud makes it easy for companies to save more granular data, but in doing so, they may need much more capacity than they planned for. What does that mean? It means more expenses.
Costs can quickly grow as your company realizes the need for more data storage space. To help avoid this, you do need to implement fine controls over queries, so unnecessary data isn’t saved but your necessary data is stored exactly where you need it. How Much Does Cloud Storage Cost? 6. Trouble with data governance Another thing to watch out for is trouble with data governance.As your big data applications grow, it can become harder to manage governance issues. You need to use built-in governance rules from the start of any new data process, so you don’t accidentally hinder the kind of data access you were looking for.
