CIO

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data.

Data 315

Data Database Administration Data Engineering Artificial Inteligence 315

Datavail

JUNE 8, 2023

Datavail was proud to be a part of this event as a platinum sponsor, and our team presented on the changing role of database administrators, the power of cloud analytics, and picking the right database for your use case. Additionally, emerging data types and modern applications drive enterprises to adopt new data platforms.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

O'Reilly Media - Ideas

FEBRUARY 18, 2020

The emergence of infrastructure and ops suggests that organizations might be having trouble scaling DevOps. In practice, however, developers tend to be less committed to DevOps’ operations component, a fact that gave birth to the idea of site reliability engineering (SRE). A drill-down into data, AI, and ML topics.

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership.

Open Source 52

Open Source Database Administration Survey AWS 52

Mobilunity

MAY 20, 2023

Despite all the tech innovations, one thing hasn’t altered: the persistent gender gap and inequity regarding women in software engineering. Corinne Vigreux: Co-founder and Managing Director of TomTom, Vigreux has been a vital force in driving the company’s innovative mapping and GPS navigation systems.

Technical Review 52

Technical Review Fractional CTO CTO Artificial Inteligence 52

Altexsoft

NOVEMBER 5, 2021

So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. Data analysis, transformation, and decision support revolve around deriving knowledge and insights critical for enhancing patient care.

Technical Review 59

Technical Review Technology Software Review Healthcare 59