Cloudera
APRIL 22, 2022
Internal: The use of cloud platforms for telcos’ own infrastructure and systems, especially for cloud-native cores, flexible billing, and operational support systems (BSS/OSS), plus new open and virtualised RAN (Radio Network) technology for disaggregated 4G/5G deployments. Location-specific data.
Knowledge Hut
MARCH 26, 2024
An essential position in IT is that of a solution architect who develops and deploys technological solutions that are customized to satisfy certain business requirements. Solution architects work with developers, stakeholders, and other IT specialists to build unified and effective systems.
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Edureka
JULY 18, 2023
In 2022, the global market for data analytics was worth $271.83 This growth is driven by the increasing amount of data generated, the need for businesses to make better decisions with data, and the rise of new technologies such as artificial intelligence and machine learning. billion, projected to grow to $745.15
Precisely
MARCH 27, 2023
We help enterprise leaders deliver transformational results, focusing first on the “why” and then proceed to design and execution that helps them to attain a measurable ROI for an enterprise data strategy. We help companies design, implement, operationalize, and ultimately optimize their enterprise data solutions.
Cloudera
AUGUST 3, 2021
Advanced predictive analytics and modeling are now optimizing safety stocks and supply chains to include the element in risk so that optimized inventory levels and redundant capital deployment in high risk manufacturing processes are optimized. Digital Transformation is not without Risk.
Monte Carlo
MARCH 28, 2023
It’s a career that has evolved as fundamentally as the underlying data infrastructure that extracts, transforms, and loads data as it becomes insights and powers applications. Are data quality analysts still relevant with the emergence of new data pipeline monitoring technologies? That is to say it’s changed a lot.
Knowledge Hut
DECEMBER 29, 2023
The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.
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