Analytics Vidhya
JANUARY 7, 2022
Introduction All data mining repositories have a similar purpose: to onboard data for reporting intents, analysis purposes, and delivering insights. By their definition, the types of data it stores and how it can be accessible to users differ.
Analytics Vidhya
OCTOBER 4, 2021
This article was published as a part of the Data Science Blogathon Image 1 What is data mining? Data mining is the process of finding interesting patterns and knowledge from large amounts of data. This analysis […]. This analysis […].
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Smart Data Collective
NOVEMBER 18, 2020
You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?
FineReport
JULY 28, 2021
If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Photo by Chris Ried on Unsplash. What is Business Intelligence?
FineReport
AUGUST 14, 2020
For open-source reporting tools, you can refer to this article? It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc.
Peter James Thomas
AUGUST 18, 2018
No this article has not escaped from my Maths & Science section , it is actually about data matters. The image at the start of this article is of an Ichthyosaur (top) and Dolphin. That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. An example is probably simpler to understand.
Alation
JULY 13, 2021
This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Complex data management is on the rise.
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