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

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

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. image-engine="spark2". Try out Cloudera Data Engineering today! Cloudera Community Articles on CDE – [link] .

Data Engineering 65

Data Engineering Engineering Data Software Review 65

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 126

Testing Engineering Software Artificial Inteligence 126

Toptal

DECEMBER 6, 2016

Recently, new data storage technologies have emerged. Which one is best suited for data engineering? In this article, Toptal Data Scientist Ken Hu compares three prominent storage technologies within the context of data engineering. But the question is: Which one should you choose?

Data Engineering 85

Data Engineering Storage Engineering Data 85

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 132

Machine Learning Artificial Inteligence Engineering How To 132

Erik Bernhardsson

DECEMBER 15, 2020

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. Mediocre software exists because someone wasn't able to hire better engineers, or they didn't have time, or whatever.

Software Engineering 304

Software Engineering Engineering Tools Software 304

TechCrunch

DECEMBER 10, 2020

As remote work continues to solidify its place as a critical aspect of how businesses exist these days, a startup that has built a platform to help companies source and bring on one specific category of remote employees — engineers — is taking on some more funding to meet demand. Turing is essentially tapping into both concepts.

Engineering 325

Engineering Artificial Inteligence Lambda Machine Learning 325

Altexsoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

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 73

Data Engineering Engineering Data Development 73

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 240

Data Data Engineering Report Engineering 240

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 Artificial Intelligence Software Review 290

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. Relevant job roles include image processing engineer or scientist, robotics engineer, AI research scientist, quality control analyst, AR or VR developer, among others.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

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. What an analytics engineer is. Sounds interesting, right?

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

InfoWorld

MARCH 8, 2024

LinkedIn has decided to open source its data management tool, OpenHouse, which it says can help data engineers and related data infrastructure teams in an enterprise to reduce their product engineering effort and decrease the time required to deploy products or applications.

Open Source 77

Open Source Tools Data Engineering Storage 77

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric encompasses data movement, data storage, data engineering, data integration, data science, real-time analytics, and business intelligence, along with data security, governance, and compliance. To read this article in full, please click here

Big Data 83

Big Data Azure Google Cloud Data 83

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 113

Trends Software Report Innovation 113

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

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

Harvard Business Review

MAY 10, 2024

They determined that, although data engineers and data scientists typically take on most responsibility from conception to production of AI development lifecycles, non-technical leaders can play a key role in ensuring the integration of responsible AI.

How To 107

How To Data Engineering Research Engineering 107

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 125

Programming Compliance Applications Tools 125

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 120

Machine Learning Artificial Inteligence Testing Development 120

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 109

Generative AI Energy Architecture System 109

InfoQ Culture Methods

JANUARY 23, 2024

Generative AI will profoundly transform communication and information sharing over the next decade, but the change will be uneven across industries and roles. Organizations should empower workers to use AI augmentation thoughtfully, while building literacy on capabilities and limits.

Generative AI 60

Generative AI Industry Organization Data Engineering 60

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 104

Software Development Data Software Trends 104

InfoWorld

DECEMBER 4, 2023

But there was plenty other news to spark the interest of database managers, data scientists, data engineers, and developers, including new extract, transform, load (ETL) services, a new Cost Optimization Hub, and revamped enterprise pricing tier for AWS' cloud-based development tool, dubbed Amazon CodeCatalyst.

AWS 69

AWS Artificial Intelligence Artificial Inteligence Generative AI 69

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 133

Agile Innovation Culture Business Intelligence 133

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 97

Continuous Delivery Google Cloud Data Engineering Microservices 97

Dzone - DevOps

FEBRUARY 7, 2023

As digital transformation reaches more industries, the number of data points generated is growing exponentially. As such, data integration strategies to collect such large volumes of data from different sources in varying formats and structures are now a primary concern for data engineering teams.

Strategy 98

Strategy Data Data Engineering Analysis 98

Perficient

MARCH 23, 2023

Databricks Streaming and Apache Flink are two popular stream processing frameworks that enable developers to build real-time data pipelines, applications and services at scale. Comparison Databricks is an integrated platform for data engineering, machine learning, data science and analytics built on top of Apache Spark.

Data 83

Data Machine Learning Artificial Inteligence Data Engineering 83

CIO

FEBRUARY 14, 2023

From architectures and databases to feature stores and feature engineering, a myriad of variables must work in sync for this to be accomplished. Flexible and easy-to-work-with data models are the oil that makes the engine for building models run smoothly. Data and ML model development fundamentally depend on one another.

Artificial Inteligence 276

Artificial Inteligence Strategy Data Machine Learning 276

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 128

Machine Learning Artificial Inteligence Agile Development 128

Altexsoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a data engineer?

Data 87

Data Data Engineering Big Data Architecture 87

Data Virtualization

DECEMBER 23, 2021

Reading Time: 5 minutes As I embark on my new journey with Denodo and data virtualization, I am now frequently asked, “What is data virtualization?” Unless I am talking to a data engineer or a data architect (this would help explain it, if you.

Virtualization 52

Virtualization Data Data Engineering Analysis 52

Data Virtualization

DECEMBER 23, 2021

Reading Time: 5 minutes As I embark on my new journey with Denodo and data virtualization, I am now frequently asked, “What is data virtualization?” Unless I am talking to a data engineer or a data architect (this would help explain it, if you.

Virtualization 52

Virtualization Data Data Engineering Analysis 52

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 143

Machine Learning Artificial Inteligence Data Data Engineering 143

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 99

Technical Review Sustainability Artificial Inteligence Technology 99