Flexagon

MARCH 1, 2022

In 2021 Flexagon worked with organizations around the globe from high tech to biotech, from manufacturing to retail and many more, in both private and public sectors. DevOps Platform Capabilities . FlexDeploy is the only DevOps platform that addresses the complexities of the Oracle , Salesforce , and SAP ecosystems.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Trigent

JUNE 20, 2022

McDonald deployed and implemented business intelligence and analytics systems to overcome most challenges for decision support. Data must be consolidated, cleansed, and structured for proper use in analytics applications. The larger businesses have complex analytics architecture and may require more data engineers.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

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

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

O'Reilly Media - Ideas

FEBRUARY 11, 2020

A person who manages a data science or data engineering team—or, for that matter, a DevOps or AIOps practice—functions for all intents and purposes as an interface between her team(s) and the person (also typically a manager) to whom she directly reports. This last point is important. She’s “management,” but she’s still at the front line.

Weak Development Team 126

Weak Development Team Data Technical Review Survey 126

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102