Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Business Strategy , August 14. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Text Analysis for Business Analytics with Python , August 12. Pythonic design patterns , June 27. Test-Driven Development In Python , June 28.

Course 64

Course Training Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Business Strategy , August 14. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Text Analysis for Business Analytics with Python , August 12. Pythonic design patterns , June 27. Test-Driven Development In Python , June 28.

Course 49

Course Training Artificial Inteligence Software Review 49

Altexsoft

JUNE 26, 2019

Product design starts with the assumptions of how a product should behave and look like, and while they are usually based on market research and user interviews, these are still just assumptions. When conducting various quality assurance activities , development teams are able to look at the product from the user’s standpoint.

Quality Assurance 85

Quality Assurance Testing Software Review Technical Review 85

CTOvision

FEBRUARY 4, 2015

Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. Big data and its effect on the transformative power of data analytics are undeniable.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 2015

Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. Big data and its effect on the transformative power of data analytics are undeniable.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CIO

MARCH 9, 2022

As a result, much of the hoped-for data lake business outcomes haven’t materialized. Data lakehouses are enabled by a new, open system design with data structures and data management features of a warehouse but implemented directly on the modern, low-cost storage platforms used for data lakes. Pulling it all together.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298