Remove Certification Remove Data Security Remove Data Solutions Remove Database Design
article thumbnail

Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

If KPI goals are not met, a data architect recommends solutions (including new technologies) to improve the existing framework. Besides, it’s up to this specialist to guarantee compliance with laws, regulations, and standards related to data. But first, all candidates must be accredited by Arcitura as Big Data professionals.

article thumbnail

Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

You can simultaneously work on your skills, knowledge, and experience and launch your career in data engineering. Soft Skills You should have the right verbal and written communication skills required for a data engineer. You should be able to work on complex projects and design and implement data solutions.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Solutions Architect Job Roles in 2024 [Career Options]

Knowledge Hut

Continuous Learning: Technology is constantly evolving, providing Solutions Architects with opportunities to learn new tools, frameworks, and methodologies to stay updated in their field. Check out the AWS Solution Architect Associate certification cost before applying.

article thumbnail

Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

No matter what you call it, specializing in data science may help you get the skills you need to fill in knowledge gaps, make predictions, and spot possibilities for your company. You may get a master's degree with one of these concentrations in a variety of formats, including on campus, and Online Data Science Certificate.

article thumbnail

Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

As Data Science is an intersection of fields like Mathematics and Statistics, Computer Science, and Business, every role would require some level of experience and skills in each of these areas. They are also responsible for improving the performance of data pipelines.