Skip to main content

Posts

Showing posts with the label data mining

5 Major Roles of Data Integration In Data Mining

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

Actionable Solutions to Counter Data Mining Issues by Hadoop

Competition has been in the air of the business biosphere. But in the present scenario, it’s hazier than ever. Have you ever seen the messaging app as an end-to-end solutions providing landscape in ages? Today we have FB messenger to which artificial intelligence makes smarter like a human by senses. How did Mark Zuckerberg conceive that idea? It simply is the miracle of iconic decision driven from big-data. Why big data? Big data hides transformative decisions. Let’s understand through this example. Do you know why retailers call to outsourcing market research? To be at the top is undoubtedly the biggest goal to achieve. But without capturing deep insight, topnotch is just a dream. The actionable decision-making underlies this insight. Let’s say, retailers come to know what customers need and what their attitude is through mining their data. By blending them up in the driven decisions, viable plans are drafted. As a result, the customers get motivated to buy. On its basis, the ret