Lacework

NOVEMBER 1, 2023

with counts of resources and vulnerabilities) derived by aggregating curated data in a higher level “big picture” or ‘“zoom-out” view which enables effective reporting and analysis using business intelligence tools such as Thoughtspot or other similar tools. A mart is a group of aggregated tables (e.g.,

System Design 52

System Design Systems Review System Data 52

Xicom

DECEMBER 26, 2018

Over the past decade, progress in hardware, remote access, large data analysis, cloud services and machine learning has strengthened industrial automation. IoT architecture is automated: The IoT solution requires programmable learning capability in system design to integrate gateway control and automation with a new production control system.

IoT 40

IoT Industry Development Artificial Inteligence 40

Altexsoft

JUNE 26, 2019

So that the development team is able to fix the most of usability, bugs, and unexpected issues concerning functionality, system design, business requirements, etc. It’s important to mention that UAT isn’t tailored to reveal technical/design bugs in the existing software, but it doesn’t exclude finding some.

Quality Assurance 85

Quality Assurance Testing Software Review Weak Development Team 85

Openxcell

DECEMBER 9, 2020

Later, getting them approved from the customer or the market analysis. You can do it through an SRS (Software Requirement Specification) document that consists of all the product requirements you need to design and develop during the project life cycle. Risk analysis is better. It supports changing requirements.

SDLC 94

SDLC Software Development Software Review Weak Development Team 94

Altexsoft

AUGUST 21, 2019

While the main responsibility is to take charge of the Extract, Transform, Load stage, an ETL developer performs tasks connected with data analytics, testing, and system architecture. Data warehouse architecture. Provide system architecture for each element and the whole data pipeline. Data analysis expertise.

Development 44

Development Software Engineering Data Engineering Architecture 44

Instaclustr

MAY 19, 2021

As the awareness of data analysis improves, the market understanding of the importance of data is improving at an astounding rate. These systems include data warehousing, reporting, operational data storage, single source of truth systems, extract transform load (ETL) systems, application support systems, and much more.

Database Administration 36

Database Administration Storage Weak Development Team Open Source 36