CIO Business Intelligence
JUNE 7, 2022
More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.
IBM Big Data Hub
JULY 6, 2023
The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. Python is the most common programming language used in machine learning.
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BizAcuity
MARCH 31, 2022
The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. For accurate predictions, companies now use various data models, machine and deep learning techniques to continuously improve and refine the quality of the outcome.
Cloudera
FEBRUARY 4, 2019
Flow Management – Adopt a no-code approach to create visual flows for building complex data ingestion / transformation with drag-and-drop ease. Streaming Analytics – Analyze millions of streams of data in real-time using advanced techniques such as aggregations, time-based windowing, content-filtering etc.,
Smart Data Collective
OCTOBER 13, 2021
It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.
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