The Crazy Programmer

NOVEMBER 6, 2021

Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. And as a big data engineer, you need to work around the big data sets of the applications. Not only this, but you also need to use coding skills, data warehousing, and visualizing skills. Conclusion.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 121

Testing Engineering Software Technology 121

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

InfoQ Culture Methods

JULY 17, 2020

To mix the power of the data and the importance of people to offer business intelligence is a key point nowadays. Innovation is not only about the most advanced technology, management and processes are the new era of startups' innovation. The result is not only the most imporant thing, the way you do it more important.

Agile 119

Agile Innovation Culture Business Intelligence 119

InfoQ Culture Methods

FEBRUARY 22, 2022

The article explores optimizing test execution, saving machine resources, and reducing feedback time to developers. Test suites may be computationally expensive, compete with each other for available hardware, or simply be so large as to cause considerable delay until their results are available. By Gregor Endler, Marco Achtziger.

Machine Learning 109

Machine Learning Artificial Inteligence Testing Development 109

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

InfoQ Culture Methods

MAY 4, 2020

These days AI is a big buzzword. While it rises in popularity, the controversy surrounding it flourishes as well.

Testing 127

Testing Technology Data Engineering Artificial Inteligence 127

InfoQ Culture Methods

FEBRUARY 25, 2021

Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. Machine learning is a powerful new tool, but how does it fit in your agile development? By Jay Palat.

Machine Learning 116

Machine Learning Artificial Inteligence Agile Development 116

CIO

OCTOBER 6, 2020

Earlier this year, Microsoft announced it would retire 15 certifications and 44 exams, including MCSA: BI Reporting, which validated data analysts' expertise using Power BI and Excel to visualize data via dashboards and reports. To read this article in full, please click here

Data 144

Data Data Engineering Report Engineering 144

InfoQ Culture Methods

JANUARY 13, 2023

This article is a summary of the 2022 software trends podcast. 2022 was another year of significant technological innovations and trends in the software industry and communities. The InfoQ podcast co-hosts met last month to discuss the major trends from 2022, and what to watch in 2023.

Trends 104

Trends Software Report Innovation 104

InfoWorld

JANUARY 15, 2024

From an engineering perspective, AI advancements have generally been in three categories: To read this article in full, please click here So, what exactly has changed in the last five years of AI development?

Data Engineering 84

Data Engineering Engineering Generative AI Data 84

Gorilla Logic

APRIL 27, 2022

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. This blog post is for you. So let’s begin with the first and, in my opinion, the most useful tool in your technical tool belt, SQL.

Data Engineering 59

Data Engineering Engineering Data Windows 59

InfoQ Culture Methods

JULY 28, 2020

To become a machine learning engineer, you have to interview. You have to gain relevant skills from books, courses, conferences, and projects. Include technologies, frameworks, and projects on your CV. In an interview, expect that you will be asked technical questions, insight questions, and programming questions.

Machine Learning 119

Machine Learning Artificial Inteligence Engineering How To 119

InfoQ Culture Methods

MAY 24, 2023

GDPR compliance should be a default feature in every application that handles PII (Personally Identifiable Information). Most organizations have an impression that GDPR is a luxury feature that needs special tools to implement.

Programming 114

Programming Compliance Applications Tools 114

InfoQ Culture Methods

APRIL 7, 2020

QCon returned to London this past March for its fourteenth year in the city, attracting over 1,600 senior developers, architects, data engineers, team leads, and CTOs. This article provides a summary of the key takeaways. By Abel Avram.

Data Engineering 63

Data Engineering Engineering Data Development 63

InfoQ Culture Methods

JANUARY 7, 2022

This article presents how to use data science to detect wastes and impediments, and concepts and related information that help teams to figure out the root cause of impediments they struggle to get rid of.

Software Development 93

Software Development Data Software Trends 93

Cloudera

APRIL 30, 2021

Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. To find out more about CDE review this article. Try out Cloudera Data Engineering today! References: Cloudera Data Engineering (CDE) documentation – [link].

Data Engineering 65

Data Engineering Engineering Data Software Review 65

InfoQ Culture Methods

JUNE 19, 2024

Gen AI Assistants play to the strengths of professionals with a breadth of experience, particularly software developers who can describe what they want the LLM to complete and critically evaluate the result. These tools enable us to swiftly cross divides of domain language and scale large repetitive tasks down to interesting ones on a human scale.

Project Management 115

Project Management Generative AI Artificial Inteligence Software 115

InfoQ Culture Methods

DECEMBER 28, 2020

As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.

Continuous Delivery 85

Continuous Delivery Google Cloud Data Engineering Microservices 85

InfoQ Culture Methods

SEPTEMBER 1, 2023

There’s an increasing concern about the energy use and corresponding carbon emissions of generative AI models. And while the concerns may be overhyped, they still require attention, especially as generative AI becomes integrated into our modern life.

Generative AI 105

Generative AI Energy Architecture System 105

InfoQ Culture Methods

MARCH 19, 2020

The book AI Crash Course by Hadelin de Ponteves contains a toolkit of four different AI models: Thompson Sampling, Q-Learning, Deep Q-Learning and Deep Convolutional Q-learning. It teaches the theory of these AI models and provides coding examples for solving industry cases based on these models. By Ben Linders, Hadelin de Ponteves.

Course 102

Course Software Review Industry Examples 102

O'Reilly Media - Data

APRIL 3, 2018

Data Science and Machine Learning sessions will cover tools, techniques, and case studies. This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Data Platforms sessions. Privacy and security.

Machine Learning 239

Machine Learning Artificial Inteligence Company Case Study 239

Dzone - DevOps

MAY 31, 2023

Drawing from his extensive experience, the author highlights the fundamental role data engineering plays in the industry, explaining the construction and challenges of typical data pipelines and discussing the specific projects that marked significant transformations.

Data Engineering 52

Data Engineering Media Industry Engineering 52

InfoQ Culture Methods

SEPTEMBER 6, 2019

Is it all about customer-centric business, or is there any data left? Can we integrate data analytics and customer empathy? This article explores how we can move towards a more customer-centric business and what information we require in order to understand the most valuable thing we have: our customer.

Analytics 66

Analytics Agile Data Big Data 66

O'Reilly Media - Ideas

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The Two Cultures of Data Tooling. Lessons Learned from Data Warehouse and Data Engineering Platforms.

Machine Learning 145

Machine Learning Artificial Inteligence Data Data Engineering 145

InfoQ Culture Methods

JANUARY 19, 2022

In this podcast summary Thomas Betts, Wes Reisz, Shane Hastie, Charles Humble, Srini Penchikala, and Daniel Bryant discuss what they have seen in 2021 and speculate a little on what they hope to see in 2022. Topics explored included: hybrid working and the importance of ethics and sustainability within technology.

Technical Review 90

Technical Review Sustainability Technology Artificial Inteligence 90

Dzone - DevOps

SEPTEMBER 6, 2024

Considering data engineering and data science, Astro and Apache Airflow rise to the top as important tools used in the management of these data workflows. This article compares Astro and Apache Airflow, explaining their architecture, features, scalability, usability, community support, and integration capabilities.

Comparison 91

Comparison Microservices Data Engineering Software Development 91

TechCrunch

DECEMBER 13, 2021

Ask any marketing folk and they’ll tell you about the term “earned growth,” otherwise known as the exposure that companies get naturally through other media, whether it be a podcast shout-out or heck, even a mention in this article.

Media 185

Media Fintech Recruiting Data Engineering 185

Dzone - DevOps

NOVEMBER 5, 2024

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Data Engineering: Enriching Data Pipelines, Expanding AI, and Expediting Analytics. As businesses collect more data than ever before, the ability to manage, integrate, and access this data efficiently has become crucial.

Data 96

Data Data Engineering Analysis Analytics 96

TechCrunch

DECEMBER 16, 2020

. “We have a class of things here that connect to a data warehouse and make use of that data for operational purposes. There’s no industry term for that yet, but we really believe that that’s the future of where data engineering is going.

Data 251

Data Analytics B2C Big Data 251

Dzone - DevOps

APRIL 25, 2023

Pyspark has become one of the most popular tools for data processing and data engineering applications. It is a fast and efficient tool that can handle large volumes of data and provide scalable data processing capabilities.

Data Engineering 40

Data Engineering Engineering Data Scalability 40

Dzone - DevOps

OCTOBER 30, 2023

In this article, we explore the synergy between software-based architecture and the development of interoperability solutions for IoT to provide insights relevant to software developers and data engineers. To tackle this challenge head-on, software-based architectures are emerging as powerful solutions.

IoT 95

IoT Architecture Software Data Engineering 95

TechCrunch

DECEMBER 10, 2020

” It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more.

Engineering 325

Engineering Artificial Inteligence Lambda Machine Learning 325

O'Reilly Media - Ideas

FEBRUARY 18, 2020

The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). This follows a 3% drop in 2018.

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

InfoQ Culture Methods

FEBRUARY 16, 2023

Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers itself. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.

Artificial Inteligence 94

Artificial Inteligence Machine Learning System Testing 94

TechCrunch

FEBRUARY 2, 2022

“What makes RudderStack unique is its end-to-end data pipelines for customer data optimized for data warehouses,” said Praveen Akkiraju, Managing Director at Insight Partners, who will join the company’s board.

Data 204

Data Machine Learning Artificial Inteligence Architecture 204