23 Mar 2023
Data warehousing refers to collecting and storing data from multiple sources in one place. Data warehouses are generally capable of storing huge volumes of data. Moreover, they also facilitate easy access and analysis of data. However, before you actually move on to the development of a data warehouse or transfer your data to one, you need to consider a few essential things. In this blog, we will be talking about the top 5 best practices for data warehousing.
First things first. Before moving to data warehousing, you need to develop a thorough understanding of your data. You should be well aware of all the different data sources that you will be collecting your data from. You need to know the structure and format of the data coming from these sources. In this way, you will be able to equip your data warehouse with all the required tools and technologies.
Try to communicate with your stakeholders at all stages of data warehousing. You should actively get their feedback on your overall processes and workflows. With this, you will be able to cater to all their needs in a much better way. Moreover, you will also enable your stakeholders to take informed business decisions.
ELT stands for “extract, load, and transform” whereas ETL stands for “extract, transform, and load”. Both of them are data integration techniques used in data warehouses. However, the former enables you to incorporate new and unstructured data with ease and flexibility. Therefore, you can consider using ELT for data integration rather than ETL.
The security of a data warehouse is of utmost importance. After all, a data warehouse is a place where all your crucial data resides. With the help of this data, you take all the important business decisions. Therefore, you need to pay due attention to its security as well. You should define user roles within a data warehouse. No user should be allowed to access more data than he actually needs to. This will help you avoid privilege escalation issues. Hence, your data will be able to stay secure throughout the data warehousing process.
With the ever-growing amounts of data, a data warehouse constantly needs to update its capacity. However, all this comes with a huge cost. Therefore, considering cloud data warehousing is always a good option. With this storage model, you will only have to pay for the resources that you will consume at a particular point in time. In this way, no resources will be wasted whatsoever. Moreover, you will also be able to scale up the capacity of your data warehouse very conveniently with the help of the cloud.
By keeping these best practices in mind, you can gain maximum benefits from your data warehouse. Just go through these points with an open mind and you will be able to come up with the best data warehousing strategies that will perfectly align with your business objectives. Moreover, if you need any sort of consultancy in this regard, then Folium AI is always at your service.
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