Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Xebia

FEBRUARY 28, 2025

Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. These days Data Science is not anymore a new domain by any means. Expectation : It is often expected that development- and operations teams magically work well together. What a waste!

Technical Review 182

Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

TechCrunch

MARCH 31, 2021

We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” It’s become the foundation of business and growth acceleration because of the incredible pace of change and development in this space.

Artificial Inteligence 363

Artificial Inteligence Machine Learning Part-Time VPE Recruiting 363

TechCrunch

MAY 3, 2022

After all, AI is costly — Gartner predicted in 2021 that a third of tech providers would invest $1 million or more in AI by 2023 — and debugging an algorithm gone wrong threatens to inflate the development budget. ” Chatterji has a background in data science, having worked at Google for three years at Google AI. .”

Artificial Inteligence 223

Artificial Inteligence Machine Learning Development Software Review 223

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

JULY 3, 2019

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. Their conversation mainly centered around data engineering, data architecture and infrastructure, and machine learning (ML).

Artificial Inteligence 22

Artificial Inteligence Machine Learning Tools Development 22

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

Cloudera

FEBRUARY 15, 2023

This month’s #ClouderaLife Spotlight features software engineer Amogh Desai. Snatching victory from the jaws of defeat Amogh and his fellow hackathon team members felt the rush of victory after winning Cloudera’s 2022 global hackathon in the product development category. At the time the product was still in its infancy.

Software Engineering 84

Software Engineering Software Review Engineering Software 84

TechCrunch

APRIL 13, 2021

Brown and Hamidi met during their time at Heroku, where Brown was a director of product management and Hamidi a lead software engineer. But while Heroku made it very easy for developers to publish their web apps, there wasn’t anything comparable in the highly fragmented database space.

Data 248

Data Software Engineering Open Source Engineering 248

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

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. Sometimes this is in the README.md repos: - repo: [link] rev: v2.0.6

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas. 25th percentile.

LAN 215

LAN How To Systems Administration Software Engineering 215

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

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

TechCrunch

OCTOBER 7, 2021

Gretel AI , which lets engineers create anonymized, synthetic data sets based on their actual data sets to use in their analytics and to train machine learning models has closed $50 million in funding, a Series B that it will be using to get the company to the next stage of development.

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

TechCrunch

MAY 10, 2022

But Piero Molino, the co-founder of AI development platform Predibase , says that inadequate tooling often exacerbates them. As a result, most machine learning tasks in an organization are bottlenecked on an oversubscribed centralized data science team,” Molino told TechCrunch via email. healthcare company.”

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

TechCrunch

APRIL 12, 2022

Prior to joining Lyft, Umare was a senior software engineer at Amazon and a principal engineer at Oracle, where he led development of a block storage product for an infrastructure-as-a-service and bare metal offering. We need to bridge both these worlds in a structured and repeatable way.”

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

Erik Bernhardsson

DECEMBER 6, 2022

I then spent six years as a CTO, although I managed the data team directly for a long time and would occasionally write some data code. Data 1 strikes me a a discipline that deserves a bit more love. Data as its own discipline. In backend development it's running unit tests (or sometimes, just compiling).

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

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

Altexsoft

NOVEMBER 28, 2019

Established in the early 80s and developed over time as a separate industry, BI gave birth to the numerous roles and professions. We have already explained the role of an ETL developer. This material uncovers the specifics of the underlying BI data infrastructure, so we suggest you reading it to get a deeper insight on the topic.

Business Intelligence 22

Business Intelligence Development Technical Review Storage 22

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 Artificial Inteligence 52

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Meanwhile, the CTO focuses on technology research and development efforts, often working closely with the CIO to develop a strong IT strategy. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

Xebia

MARCH 13, 2025

These are the four reasons one would adopt a feature store: Prevent repeated feature development work Fetch features that are not provided through customer input Prevent repeated computations Solve train-serve skew These are the issues addressed by what we will refer to as the Offline and Online Feature Store.

Training 130

Training Artificial Inteligence Machine Learning Data 130

CIO

JUNE 22, 2023

While Silicon Valley still pays top dollar for IT pros, the war for talent has moved beyond the technology industry, with other verticals vying for talented IT workers who have the skills to enable digital transformation, process improvement, change management, and the development of apps and services.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

TechCrunch

AUGUST 8, 2022

In a recent MuleSoft survey , 84% of organizations said that data and app integration challenges were hindering their digital transformations and, by extension, their adoption of cloud platforms. Prior to co-founding Equalum, Livneh was a full stack developer in the U.S. Systems, an IT consulting firm focused on data analytics.

Company 191

Company Data Cloud Google Cloud 191

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

TechCrunch

JUNE 17, 2021

Data is the world’s most valuable (and vulnerable) resource. We’ve seen companies across the globe struggle to make sense of endless data sources or turn them into actionable, trusted metrics.

Metrics 247

Metrics Tools Data Big Data 247

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Analytics 217

Analytics IoT KPI Azure 217

Mobilunity

AUGUST 3, 2021

It is so large in size and complexity that no traditional data management tools can store or manage it effectively. Although the Big Data concept itself is relatively new, the origins of huge data sets go back to the 1970s when the world of data was just getting started with the development of the relational database.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

OCTOBER 1, 2022

It requires taking data from equipment sensors, applying advanced analytics to derive descriptive and predictive insights, and automating corrective actions. The end-to-end process requires several steps, including data integration and algorithm development, training, and deployment.

Artificial Inteligence 218

Artificial Inteligence Azure IoT Analytics 218

CIO

MARCH 23, 2023

Alongside all the evidence that getting your developers working on AI is good for your business, there’s mounting proof that even providing the opportunity to work on—and work with—AI has a positive effect on job satisfaction, recruitment, and retention. AI: An opportunity for your developers to make an impact It isn’t hard to grasp why.

Development 88

Development Artificial Intelligence Artificial Inteligence Survey 88

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. Midjourney Midjourney is a generative AI service that was developed in 2022 to generate images using natural language prompts.

Generative AI 214

Generative AI Artificial Inteligence Machine Learning ChatGPT 214

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

Data Engineering 52

Data Engineering Engineering Data Culture 52

CIO

APRIL 3, 2023

From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience. Over the past five years, Magsisi says the organization has launched well above 50 digital products.

Sport 144

Sport Artificial Inteligence Coaching Games 144