article thumbnail

The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. DevOps engineers must be able to deploy automated applications, maintain applications, and identify the potential risks and benefits of new software and systems.

LAN 358
article thumbnail

The 10 highest-paying industries for IT talent

CIO

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. There’s a broad range of roles that fall under the software industry, the most obvious ones being software developer and engineer.

Industry 291
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

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.

article thumbnail

The Good and the Bad of Python Programming Language

Altexsoft

web development, data analysis. machine learning , DevOps and system administration, automated-testing, software prototyping, and. This distinguishes Python from domain-specific languages like HTML and CSS limited to web design or SQL created for accessing data in relational database management systems. many others.

article thumbnail

Less is More: The Benefits of Streamlining Your Data Integration Workflow

Datavail

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers. Data integration and warehousing.

Data 40