CIO

APRIL 1, 2025

It seems like only yesterday when software developers were on top of the world, and anyone with basic coding experience could get multiple job offers. In February, CEO Marc Benioff told CNBCs Squawk Box that 2025 will be the first year in the companys 25-year history that it will not add more software engineers.

Marketing 152

Marketing Software Development Software Development 152

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! In this video, Sr.

Data Engineering 106

Data Engineering Engineering Data Software Engineering 106

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. DevOps engineers must be able to deploy automated applications, maintain applications, and identify the potential risks and benefits of new software and systems.

LAN 215

LAN How To Systems Administration Software Engineering 215

Xebia

FEBRUARY 28, 2025

In short, being ready for MLOps means you understand: Why adopt MLOps What MLOps is When adopt MLOps … only then can you start thinking about how to adopt MLOps. Operations ML teams are focused on stability and reliability Ops ML teams have roles like Platform Engineers, SRE’s, DevOps Engineers, Software Engineers, IT Managers.

Technical Review 182

Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. We hired you to do data science.”. “I

Data Engineering 112

Data Engineering Engineering Data Technical Review 112

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

CIO

SEPTEMBER 29, 2022

Collectively, the scope spans about 1,600 data analytics professionals in the company and we work closely with our technology partnersâ??more that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance. But we have to bring in the right talent. more than 3,000 of themâ??that

Artificial Inteligence 201

Artificial Inteligence Machine Learning Travel Technical Review 201

Xebia

NOVEMBER 21, 2024

In traditional software engineering projects, challenges like these are overcome with automated tooling; directory structures encourage a standardised file layout, pre-commit offers config-based formatting and tools like flake8 offer linting capabilities.

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

TechCrunch

JUNE 2, 2021

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack. After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

Erik Bernhardsson

DECEMBER 6, 2022

Data 1 strikes me a a discipline that deserves a bit more love. It's grown from obscurity to become some meaningful % of software engineering, but the state of the art in terms of tools and workflow is still emerging. Data as its own discipline. There are other differences too! I will be posting a lot more about it!

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

TechCrunch

JUNE 17, 2021

Now, three alums that worked with data in the world of Big Tech have founded a startup that aims to build a “metrics store” so that the rest of the enterprise world — much of which lacks the resources to build tools like this from scratch — can easily use metrics to figure things out like this, too.

Metrics 247

Metrics Tools Data Big Data 247

Erik Bernhardsson

APRIL 1, 2021

But Vishal (the CEO of Better) convinced me to spent a year or two with him, and learn how the sausage is made. How to raise money, how to work with the board, how to run a company, and all that stuff. I've spent most of my career working in data in some shape or form. How to run data jobs.

Data Engineering 162

Data Engineering Engineering Blockchain Software Engineering 162

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. It’s a role that typically requires at least a bachelor’s degree in information technology, software engineering, computer science, or a related field. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

CIO

MAY 30, 2024

Modules include introduction to prompt engineering, understanding prompts, principles of effective prompt engineering, creating effective prompts, working with OpenAI API, advanced prompt engineering, future of prompt engineering and AI conversations, and working with popular AI tools. Cost : $4,000

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

CIO

OCTOBER 1, 2022

While P&G’s recipe for scale relies on technology, including investment in a scalable data and AI environment centered on cross-functional data lakes, Cretella says P&G’s secret sauce is the skills of hundreds of talented data scientists and engineers who understand the company’s business inside and out.

Artificial Inteligence 218

Artificial Inteligence Azure IoT Analytics 218

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

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

CIO

SEPTEMBER 29, 2023

Understanding how to leverage ChatGPT in the workplace has quickly become an increasingly valuable skill that companies are interested in capitalizing on to achieve business goals. Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer.

Generative AI 214

Generative AI Artificial Inteligence Machine Learning ChatGPT 214

Erik Bernhardsson

JUNE 7, 2014

I do however thing the two most successful traits that I’ve observed are (with the risk of sounding cheesy): Programming fluency ( 10,000 hour rule or whatever) – you need to be able to visualize large codebases, and understand how things fit together. It’s just plain math.

Recruiting 102

Recruiting Weak Development Team Data Software Review 102

Altexsoft

OCTOBER 3, 2019

Creating and maintaining the great environment comes along with the understanding who the high performers are and how to keep them inspired, as well as who is lagging and why. Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. So, data engineers make data pipelines work.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Erik Bernhardsson

JUNE 7, 2014

I do however thing the two most successful traits that I’ve observed are (with the risk of sounding cheesy): Programming fluency ( 10,000 hour rule or whatever) – you need to be able to visualize large codebases, and understand how things fit together. It’s just plain math.

Recruiting 100

Recruiting Weak Development Team Data Software Review 100

Altexsoft

NOVEMBER 28, 2019

The project scope defines the degree of involvement for a certain role, as engineers with similar technology stacks and domain knowledge can be interchangeable. Developing BI interfaces requires a deep experience in software engineering, databases, and data analysis. Software engineering skills.

Business Intelligence 22

Business Intelligence Development Technical Review Storage 22

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

Hacker Earth Developers Blog

NOVEMBER 29, 2022

emphasizes the gender diversity of software engineers where women represent only 21% of the workforce in software engineering. Before building this database, they have to brainstorm and answer questions like: How can I find the ideal candidate on LinkedIn? A 2022 report by Celential.ai Candidate onboarding.

Technical Review 130

Technical Review Software Review Recruiting Artificial Intelligence 130

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

O'Reilly Media - Ideas

FEBRUARY 2, 2020

One of the biggest challenges operations groups will face over the coming year will be learning how to support AI- and ML-based applications. On the other hand, they will have to learn a lot about how AI applications work and what’s needed to support them.

Meeting 109

Meeting Conference Training Testing 109

Apiumhub

NOVEMBER 20, 2023

Consequently, we’ve curated a list of speakers we are eager to feature in our upcoming events and meetups, aiming to enhance awareness and catalyze a positive influence within the software development industry. Her fascination with the potential of engineers to address climate issues through green software practices began in 2021.

Fractional CTO 83

Fractional CTO Software CTO Sustainability 83

CIO

MARCH 13, 2023

Rau hired a former Apple colleague who approached him and was incentivized by the offer to run the software engineering team at the Indianapolis-based Lilly after hearing about the types of projects he could work on. “I I can tell you he didn’t come for the weather,” Rau jokes.

Healthcare 148

Healthcare Real Estate Artificial Inteligence Machine Learning 148

Xebia

MAY 16, 2023

Intro We all know the struggle of making our pipelines work seamlessly across multiple cloud platforms and how time consuming it can be to learn specific code for every cloud stack. Starting from scratch or adjusting to another platform can be a real pain, or even figuring out how to reuse code for a new project.

Cloud 130

Cloud Data Azure Open Source 130

Altexsoft

DECEMBER 9, 2020

Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Prescriptive analytics provides optimization options, decision support, and insights on how to get the desired result. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Mobilunity

OCTOBER 30, 2024

Jörg Schneider-Simon, the Chief Technology Office & Co-Founder of Bowbridge, a German SAP cybersecurity software provider, highlights the speed of hiring tech experts with an outstaffing vendor: “Mobilunity was able — within days — to provide a full-time resource to pick up the work where it was”. Faster time to market.

Technical Review 52

Technical Review Software Review Development How To 52

The Citus Data

MARCH 31, 2023

(on-demand talk, Citus team, foreign keys, distributed PostgreSQL) Postgres without SQL: Natural language queries using GPT-3 & Rust , by Jelte Fennema, senior software engineer on the Citus team at Microsoft. on-demand talk, security, roles, privileges, PostgreSQL) How to copy a Postgres database? ,

Azure 84

Azure Open Source Virtualization Software Engineering 84

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). How to get started with dbt within CDP.

SDLC 81

SDLC Data Open Source Handbook 81

Existek

SEPTEMBER 28, 2023

Responsibilities of AI engineers Requirements to hire AI developers Where to find AI developers? How to hire AI developers? How much do AI developers make? Besides, it requires expert knowledge of software engineering, programming, and data science. Get in touch The post How to Hire AI Developers?

Artificial Inteligence 52

Artificial Inteligence Development How To Technical Review 52

CircleCI

JULY 29, 2022

To solve this, we set up CircleCI to automatically test and deploy our data changes so that we can deliver quality data model releases as fast as possible to our data consumers. Why is dbt useful in data engineering and analysis? How to use CircleCI to run dbt tests in parallel and to enable auto-canceling.

Testing 98

Testing Software Review Continuous Integration Software Development 98

Apiumhub

NOVEMBER 17, 2022

Dave Farley – Pioneer of Continuous Delivery & Author of the books “Continuous Delivery” and “Modern Software Engineer”. Russ Miles – Chaos Engineer Thought Leader & Author of multiple books including “Antifragile Software: Building Adaptable Software with Microservices”. Who Do You Trust?

Technical Review 81

Technical Review Software Review Fractional CTO CTO Coach 81