CIO

JANUARY 10, 2023

Thomas Vick, regional director for Robert Half’s technology practice group, says that, in particular, demand has dropped for quality assurance engineers and level 1 help desk work. “On On the flip side, we have seen AI and digitalization create new jobs that didn’t exist before,” Vick says. “In

Trends 327

Trends Recruiting Culture Quality Assurance 327

TIBCO - Connected Intelligence

DECEMBER 16, 2020

Imagine you’re a data engineer at a Fortune 1000 company. Your company has thousands of databases and 14,000 business intelligence users. You use data virtualization to create data views, configure security, and share data. One: Streaming Data Virtualization. All this data is in motion.

Virtualization 64

Virtualization Data Data Engineering Quality Assurance 64

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 9, 2022

Metadata discovery and capture refers to extracting metadata across your data assets. Metadata quality assurance is checking if metadata complies to quality requirements. You can get more information about data labeling in machine learning from another post (it’s one of the main steps of preparing datasets for ML).

Tools 59

Tools Technical Review Software Review Systems Review 59

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 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

Altexsoft

OCTOBER 8, 2021

The platform’s main capabilities comprise data integration, data quality assurance, and data governance. Xplenty: convenient low-code environment for data integration. The toolkit allows you to quickly build data pipelines , automate integration tasks, and monitor jobs. Source: G2. Ease of use.

Tools 52

Tools Data Software Review Open Source 52