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

CIO

SEPTEMBER 12, 2022

What our team has produced in the last few years is keeping in mind how to make people’s lives simpler and reducing commute times.”. Data engine on wheels’. To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit. “I

Data Engineering 174

Data Engineering Engineering Data Transportation 174

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

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

CIO

OCTOBER 13, 2023

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

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

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Data Engineering Engineering Data Technical Review 112

TechCrunch

MARCH 31, 2021

I regularly meet smart, successful, highly competent and normally very confident leaders who struggle to navigate a constructive or effective conversation on ML — even though some of them lead teams that engineer it. Recruiting for ML comes with several challenges. Secondly, finding the level of experience required can be challenging.

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Artificial Inteligence Machine Learning Part-Time VPE Recruiting 363

Xebia

OCTOBER 18, 2024

In the upcoming series, we’ll be able to demonstrate how to set it up—so stay tuned for that future post. Dbt is a popular tool for transforming data in a data warehouse or data lake. It enables data engineers and analysts to write modular SQL transformations, with built-in support for data testing and documentation.

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Open Source AWS Government Technical Review 162

Hacker Earth Developers Blog

JUNE 26, 2019

. – Data structures and Algorithms, Excel, Tableau, Hadoop, SAS , etc. Other skills that are good to have for a data scientist include natural language processing, image recognition, time series analysis, econometrics, etc. Know how to assess different types of data scientists.

Data 200

Data How To Artificial Inteligence Machine Learning 200

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

O'Reilly Media - Data

SEPTEMBER 24, 2018

Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. The organizations don’t realize that data science stands on the shoulders of DataOps and data engineering giants. Let's call these operational teams that focus on big data: DataOps teams.

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Enterprise Data Big Data Data Engineering 260

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. These candidates will be skilled at troubleshooting databases, understanding best practices, and identifying front-end user requirements.

LAN 215

LAN Systems Administration How To Software Engineering 215

CIO

JANUARY 3, 2025

A significant share of organizations say to effectively develop and implement AIOps, they need additional skills, including: 45% AI development 44% security management 42% data engineering 42% AI model training 41% data science AI and data science skills are extremely valuable today.

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Organization Artificial Inteligence Artificial Intelligence DevOps 158

Cloudera

SEPTEMBER 2, 2021

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. Normally on-premises, one of the key challenges was how to allocate resources within a finite set of resources (i.e., fixed sized clusters).

Data Engineering 85

Data Engineering Performance Engineering Data 85

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

DevOps.com

APRIL 28, 2021

Data engineering is […]. The post How to Modernize Data Integration appeared first on DevOps.com. When the pandemic ends and businesses begin to reopen, this will be truer than ever.

Data 104

Data How To Data Engineering Analytics 104

CIO

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand.

Marketing 152

Marketing Software Development Software Development 152

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.

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Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

TechCrunch

MARCH 7, 2023

But the AI core team should include at least three personas, all of which will be equally important for the success of the project: data scientist, data engineer and domain expert. In the kickoff, the data engineer will create a few cases using data and the domain expert will transform these case studies into examples.

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Weak Development Team Case Study Data Engineering ChatGPT 246

CIO

NOVEMBER 27, 2024

Not cleaning your data enough causes obvious problems, but context is key. An organization can undermine itself by trying to get its data ready for AI before starting work on understanding and building out its AI use cases, Carlsson cautions. You could, in theory, be cleaning forever, depending on the size of your data,” he says.

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Data Enterprise Weak Development Team Software Review 211

Xebia

FEBRUARY 3, 2023

You start out really small, perhaps a Proof of Concept, a small app or data engineering pipeline. You can find this post also on the personal blog of Joachim Bargsten ) Photo by Amiya Chaturvedi on Unsplash The post How to tame your Python codebase appeared first on Xebia. If you find an issue, please tell us.

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How To Architecture Data Engineering Applications 130

Xebia

DECEMBER 23, 2024

It must be a joint effort involving everyone who uses the platform, from data engineers and scientists to analysts and business stakeholders. Creating Awareness: Foster a culture where all users, from data engineers to analysts, understand the financial impact of their actions.

Data 130

Data Storage Culture Resources 130

Xebia

DECEMBER 23, 2024

It must be a joint effort involving everyone who uses the platform, from data engineers and scientists to analysts and business stakeholders. Creating Awareness: Foster a culture where all users, from data engineers to analysts, understand the financial impact of their actions.

Data 130

Data Storage Culture Resources 130

Xebia

MARCH 2, 2025

Deployment isolation: Handling multiple users and environments During the development of a new data pipeline, it is common to make tests to check if all dependencies are working correctly. Conclusion In this blog post, we explored how to simplify your workflow deployment using Databricks Asset Bundles. x-cpu-ml-scala2.12

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Resources Testing Metrics Data Engineering 130

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

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.

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Artificial Inteligence Machine Learning Open Source Data Engineering 249

TechCrunch

JULY 26, 2021

Sproutl CTO Andy Done also worked at Farfetch at some point as Director of Data Engineering. She previously wrote a best-selling gardening book called ‘How to Grow’. Anni Noel-Johnson, the CEO of the company, was the VP of Trading and Strategy at Farfetch. Hollie Newton is also going to be a key team member at Sproutl.

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Video Data Engineering Strategy Meeting 278

CIO

FEBRUARY 19, 2025

Weve also seen some significant benefits in leveraging it for productivity in data engineering processes, such as generating data pipelines in a more efficient way. Knowing how to define success is a big advantage, too. EYs Gusher says shes seeing gen AI value in code debugging and testing.

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CIO

NOVEMBER 29, 2022

For data warehouses, it can be a wide column analytical table. Many companies reach a point where the rate of complexity exceeds the ability of data engineers and architects to support the data change management speed required for the business.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

CIO

APRIL 2, 2025

In this context, collaboration between data engineers, software developers and technical experts is particularly important. Mastering programming languages such as Python is a great advantage, as is a sound knowledge of data (databases) and general software development. Implementation and integration.

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Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

CIO

FEBRUARY 26, 2024

Organizations must educate staff on how to incorporate genAI into their daily workflows. Education starts with prompt engineering, the art and science of framing prompts that steer Large Language Models (LLMs) towards desired outputs. Data engineers Data engineers can supercharge their careers by becoming conversant in genAI systems.

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Generative AI Artificial Inteligence Company Data Engineering 167

TechCrunch

FEBRUARY 24, 2021

She formerly founded Concord Systems, a real-time data processing startup that was acquired by Akamai in 2016. The part that I noticed is that we now have all the data and we have the ability to compute, but now the next challenge is to know what the data is and how to use it,” she explained. Photo via Select Star.

Data 271

Data Business Intelligence Big Data Data Engineering 271

CIO

JUNE 7, 2022

And in a mature ML environment, ML engineers also need to experiment with serving tools that can help find the best performing model in production with minimal trials, he says. Data engineer. Data engineers build and maintain the systems that make up an organization’s data infrastructure.

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Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. Cloudera Machine Learning .

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How To Travel Artificial Inteligence Machine Learning 94

O'Reilly Media - Data

AUGUST 24, 2018

Democratizing data. Tracy Teal explains how to bring people to data and empower them to address their questions. Watch " Democratizing data.". The future of data-driven discovery in the cloud. Ryan Abernathey makes the case for the large-scale migration of scientific data and research to the cloud.

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Open Source Journal Artificial Inteligence Machine Learning 164