![]() ![]() The data could be used at a later date to update DPW or emergency services budgets and resources. To prepare this data for analysis involves time-consuming data preparation, cleansing and reformatting for uniformity. Data lakes are great resources for municipalities or other organizations that store information related to outages, traffic, crime or demographics. It is not altered to suit a specific purpose or fit into a particular format. ![]() This data is aggregated from various sources and is simply stored. Three distinct types of cloud storage repositories exist today, each serving a different purpose to address a specific need: Data lakeĪ data lake is a large repository of raw data, either unstructured or semi-structured. Three types of cloud storage repositories ![]() Let’s start with the basics and delve into some examples of how one data repository or many types of data repositories may be necessary to serve the needs of your business. However, finding the best option to suit your needs is not an easy task, and it may involve several different types of repositories for different categories of data. Modern businesses rely on the availability of the data they need, when they need it. This post looks at the three distinct types of cloud storage repositories that exist today, exploring the differences and which solution would be best for your use case.Ĭloud-based data storage for business data - particularly big data - is top of mind today, whether you are relying on it to conduct day-to-day business or to accomplish specific tasks.ĭata drives many business functions - from creating targeted programs for customers and prospects, to optimizing manufacturing and operations processes, to developing, testing, distributing and tracking virus testing and vaccination. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |