Eminenture Blog

What is data integration? To answer for what the data integration is, the data scientists and management experts have to say that it is the process of aggregating content from different sources at one place. Simply put, it is a unified version of raw data, which precedes the ingestion process. This process has many steps, as cleansing, ETL mapping and transformation of the collated content.  Undoubtedly, this collection has a crucial role to play in the business intelligence and analytics for finding some effective solutions that can actually yield some positive results. Frankly speaking, there is no standard framework to carry out this integration. You just need a few common elects, such as a network for web scrapping, a master server and a client server for sharing intended pieces of information. Typically, the client server sends a request to the master for accessing the requisite files or content. In response, the master server accepts the request and collates the target co

Data is considered as the new oil, which is true. But without processing, it is good for nothing. In short, its processing is important, as it structures knowledge in a comprehensive format. You get through what is interesting or what can really transform the way your business typically goes. It helps to evolve such intelligence that can easily resonate with your domain. A business analyst picks something meaningful out of a massive set and then, the journey to its makeover begins via cleansing. Upon proper structuring, such models are put aside that have the potential or that can actually add on opportunities to make you run ahead of time and competitors. This is why data processing is important . Certainly, being digital helps any organization to do it quickly. You just set your codes to scrape information via APIs. That’s it. You get all what you need to observe for getting insight. 1.        Collection Typically, it is about collating information from various sourc