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. “Moreover, many of the tools need experienced data engineers and a lot of time in order for companies to get the right value from the tool.

Company 191

Company Data Google Cloud Cloud 191

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud 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, Postgres CI) On compression of everything in Postgres , by Andrey Borodin who is a Postgres Contributor.

Azure 85

Azure Open Source Virtualization Software Engineering 85

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. Who does what in a data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

Apiumhub

AUGUST 12, 2021

His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Steef-Jan is a board member of the Dutch Azure User Group, a regular speaker at conferences and user groups, and he writes for InfoQ, and Serverless Notes. Craig Spence – Senior Engineer @Spotify.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Existek

SEPTEMBER 28, 2023

Besides, it requires expert knowledge of software engineering, programming, and data science. Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Xebia

MAY 16, 2023

Our colleagues from GetInData took care of all the interfacing to machine learning platforms on the cloud like Azure ML , Vertex AI and Sagemaker. Kedro is an open-source data pipeline framework that brings the best practices of software engineering towards cleaner and more consistent code.

Cloud 130

Cloud Data Azure Open Source 130

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven? Not so, any more.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Cloudera

FEBRUARY 8, 2022

COD enables customers to deliver prototypes within an hour in a cloud of your choice — AWS and Azure are generally available, GCP is available in Tech Preview — with the power to effortlessly scale to petabytes of data. Evolutionary schema is supported.

System 66

System Cloud Azure AWS 66

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Tools to build an ELT pipeline.

Tools 52

Tools Software Review Systems Review Testing 52

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

Altexsoft

JULY 19, 2022

As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side. Data producers lack ownership over the information they generate which means they are not in charge of its quality. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52