Mobilunity

MAY 26, 2023

Catering to both startups and large-grade enterprises, let’s explore how these solutions adapt to different business sizes: Startups. Emerging companies prioritize cost-effectiveness and scalability, which manufacturing software solutions can offer. Product quality assurance. Manufacturing execution systems creation.

Software Development 52

Software Development UI/UX Software Development 52

Gorilla Logic

MAY 19, 2021

Use real-time data analytics, business intelligence tools, and machine learning to provide a hyper-relevant, user-friendly experience. Establishing scalable and maintainable user and identity management, authentication, and authorization. Quality assurance and testing capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. It’s more accessible and easier to work with, making it ideal for analytics, business intelligence, and machine learning tasks.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 9, 2022

Metadata quality assurance is checking if metadata complies to quality requirements. Metadata quality assurance. When dealing with metadata, we have to make sure it meets a number of requirements that characterize its quality. Ensure its scalability and integrability. Implement software.

Tools 59

Tools Technical Review Software Review Systems Review 59

Mobilunity

MARCH 26, 2024

SAP NetWeaver Business Warehouse (BW): As a matter of fact this component does not only change raw data into meaningful insights but it also serves as a hub where data from multiple sources can be consolidated thus providing an inclusive business intelligence and reporting platform.

Project Management 52

Project Management Recruiting Agile Quality Assurance 52

Altexsoft

OCTOBER 8, 2021

easy-to-use interfaces; capabilities to examine, clean, and transform data; native connectors for different data integration use cases; scalability and elasticity to fit the changing landscape of data; and. The platform’s main capabilities comprise data integration, data quality assurance, and data governance. Source: G2.

Tools 52

Tools Data Software Review Open Source 52

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