2020 Data mining Data Warehouse Machine Learning 
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.
datapine
SEPTEMBER 27, 2022
Recently published in 2021, “SQL for Data Scientists” by author and experienced data scientist, Rénee Teate, teaches its readers all the skills that data scientists use the most in their daily work. Alan Beaulieu’s “Learning SQL” is another of our top database books for beginners. Viescas, Douglas J. Steele, and Ben J.
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Jedox
OCTOBER 22, 2020
In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.
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!
Jet Global
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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