Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. Database Management.

Big Data 52

Big Data Data Development Business Intelligence 52

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. 93% of large enterprises use database monitoring and management solutions.

Open Source 52

Open Source Database Administration Survey AWS 52

Mobilunity

MAY 20, 2023

In today’s fast-developing digital age, the technology industry has emerged as a key factor in national and international economies. Despite all the tech innovations, one thing hasn’t altered: the persistent gender gap and inequity regarding women in software engineering.

Technical Review 52

Technical Review Fractional CTO CTO Artificial Inteligence 52

Altexsoft

OCTOBER 2, 2020

Data models translate business rules defined in policies into an actionable technical data system, Source: Global Data Strategy. Database administration: maintaining data availability. Specialist responsible for the area: database administrator. Data security: preventing data breaches.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44

TIBCO - Connected Intelligence

JUNE 29, 2020

Further, these challenges are growing exponentially as massive data trends, such as the ten I identified in a recent blog , combine to make data management more complex and difficult than ever. In fact, data engineering staffing savings of 40 percent are typical. Your business staff can add value in a number of ways.

Artificial Inteligence 45

Artificial Inteligence Data Data Engineering Database Administration 45

TIBCO - Connected Intelligence

JUNE 2, 2020

Lets face it, from database administrator to data steward, data engineer to developer, business analyst to data scientists, your data management workloads are expanding apace your growing data complexity. Your Fourth Ace: Augmented People.

Technology 49

Technology Artificial Inteligence Database Administration Artificial Intelligence 49

Altexsoft

NOVEMBER 5, 2021

So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. Modern databases are usually controlled via a database management system (DBMS) that sits between information and apps consuming it.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

O'Reilly Media - Ideas

FEBRUARY 18, 2020

There’s plenty of security risks for business executives, sysadmins, DBAs, developers, etc., The laggard use case was Python-based web development frameworks, which grew by just 3% in usage, year over year. there’s a Python library for virtually anything a developer or data scientist might need to do. to be wary of.

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

N2Growth Blog

JANUARY 10, 2017

Database Administrator (DBA). Systems Engineer. Data Analyst. DEADS: Data Engineer and Data Scientist. Content Administrator. Machine Learning Engineer. This includes Big Data concepts such as Data Swamps. To: AI/Cognitive Era. Taxonomy (or Digital) Curator. Programmer.

Company 86

Company Artificial Inteligence Big Data Machine Learning 86