CIO

JANUARY 10, 2023

Based on Gartner data, the overall supply of tech workers has increased only by a few percentage points at most. In key function areas, like data science, software engineering, and security, talent supply remains as tight or tighter than before.” Careers, IT Skills, Staff Management.

Trends 197

Trends Recruiting Culture Quality Assurance 197

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Apiumhub

AUGUST 12, 2021

His research interests include distributed systems, design, programming techniques, software development tools, and programming languages. Nikhil Barthwal – Software Engineer / Start-up consultant @Software consultant Nikhil Barthwal is passionate about building distributed systems. Twitter: [link]. Twitter: [link].

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

OCTOBER 3, 2019

The platform provides “ business intelligence, planning, and predictive capabilities within one product” and uses AI and ML. Data engineer builds interfaces and infrastructure to enable access to data. So, data engineers make data pipelines work. Develop UI of a solution.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Mobilunity

DECEMBER 9, 2024

Education and certifications for AI engineers Higher education base. AI engineers need a strong academic foundation to deeply comprehend the main technology principles and their applications. It includes subjects like data engineering, model optimization, and deployment in real-world conditions.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Openxcell

JANUARY 3, 2025

Openxcell is always ready to understand your project needs and use AI’s full potential to deliver a solution that propels your business forward. The company offers a wide range of AI Development services, such as Generative AI services, Custom LLM development , AI App Development , Data Engineering , GPT Integration , and more.

Artificial Inteligence 40

Artificial Inteligence Company Development Artificial Intelligence 40

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Raj provided technical expertise and leadership in building data engineering, big data analytics, business intelligence, and data science solutions for over 18 years prior to joining AWS. He is focused on building interactive ML solutions for AWS enterprise customers to achieve their business needs.

Serverless 100

Serverless AWS Artificial Inteligence Big Data 100

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. ELT vs ETL. Order of process phases.

Tools 52

Tools Software Review Systems Review Testing 52

Abhishek Tiwari

JULY 20, 2019

ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. product) don't change over a long period. Probably yes.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Altexsoft

JULY 19, 2022

It’s often used by internal apps managing business processes — ERPs, accounting software, and medical practice management systems , to name just a few. The analytical plane embraces data that is collected and transformed for analytical purposes such as enterprise reporting, business intelligence , data science , etc.

Architecture 52

Architecture Data Analytics Data Engineering 52

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. Predictive analytics, recommendation engines, and AI-driven insights provide businesses with proactive decision support systems, improving accuracy and efficiency.

Big Data 52

Big Data Analytics Data Analysis 52

CIO

DECEMBER 10, 2024

Its a common skill for cloud engineers, DevOps engineers, solutions architects, data engineers, cybersecurity analysts, software developers, network administrators, and many more IT roles. Its a skill common with data analysts, business intelligence professionals, and business analysts.

UI/UX 203

UI/UX Enterprise Artificial Inteligence Database Administration 203

Altexsoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

MARCH 14, 2023

A Modern Data Stack (MDS) is a collection of tools and technologies used to gather, store, process, and analyze data in a scalable, efficient, and cost-effective way. Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — Data democratization.

Data 59

Data Technical Review Software Review Open Source 59