CIO
OCTOBER 13, 2023
Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.
TechCrunch
OCTOBER 11, 2022
Life science businesses like big pharmaceutical companies have a singular set of needs when it comes to building applications. Their models and algorithms tend to be more sophisticated and data-intensive than most industries. Gankin says the customers will be able to mix and match these components as they wish.
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CIO
JUNE 22, 2023
Every business unit has a stake in the IT services, apps, networks, hardware, and software needed to meet business goals and objectives, and many of them are hiring their own technologists. Healthcare Technology is paramount for the healthcare industry, including the medical, pharmaceutical, and biotechnology industries.
Cloudera
JUNE 4, 2018
That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. Ensure content can be reused within the data hub to support pharmaceutical use cases.
TIBCO - Connected Intelligence
MARCH 4, 2021
This makes the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms an important resource for today’s data science-driven organizations that must invest in this critical technology. For the third time in a row, TIBCO Software has maintained its position as a Leader in this must-read report.
Altexsoft
DECEMBER 4, 2020
Hardware and software become obsolete sooner than ever before. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.
Capgemini
MARCH 16, 2023
Pharmaceutical companies have been able to assemble biomedical knowledge graphs out of the known links between diseases, treatment drugs, and proteins and genes. We then train them in important disciplines, such as manipulating and analyzing data, modeling, software engineering, and architecture.
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