2020 Data Mining Data Warehouse 
Smart Data Collective
APRIL 8, 2020
sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.
Data Pine
OCTOBER 25, 2022
Amongst the many positive reviews, this piece has gotten since it was first published in 2020, readers particularly enjoyed the content and structure of the book, which makes it a fast and entertaining read. 16) “The Data Warehouse Toolkit: The Definitive Guide To Dimensional Modeling” by Ralph Kimball & Margy Ross.
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Data Pine
SEPTEMBER 27, 2022
One of the best beginners’ books on SQL for the analytical mindset, this masterful creation demonstrates how to leverage the two most vital tools for data query and analysis – SQL and Excel – to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application.
Sisense
MAY 11, 2021
The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!
Insight Software
MAY 1, 2023
Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” The program offers valuable data analysis-based services such as benchmarking and personalized fitness plans. Standalone is a thing of the past.
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