CIO

JULY 14, 2023

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. To get good output, you need to create a data environment that can be consumed by the model,” he says.

Generative AI 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

Exadel

FEBRUARY 20, 2023

Vertex AI leverages a combination of data engineering, data science, and ML engineering workflows with a rich set of tools for collaborative teams.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. It can both read data and write it to Kafka; the Connect API for direct data streaming between Kafka and external data systems; the Admin API for monitoring and managing topics, brokers, and other Kafka components.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Mobilunity

DECEMBER 9, 2024

Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. It includes subjects like data engineering, model optimization, and deployment in real-world conditions. Computer Vision engineer. NLP engineer.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Apiumhub

AUGUST 12, 2021

An International speaker, books & video author, and writer for Java Magazine, IBM Developer, Oracle, and InfoQ. Launching 24/7 digital platforms made him appreciate how much cloud technologies are developer superpowers. Laurent works at Google Cloud Paris and enjoys exploring, learning, and sharing the world of possibilities.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

APRIL 26, 2022

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. As such, it is considered cloud-agnostic. Modern data pipeline with Snowflake technology as its part. BTW, we have an engaging video explaining how data engineering works.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. time stamped data and time series forecasting to consider trends and seasonality, neural networks and NAS, raw texts and natural language processing (NLP), and. Vertex AI overview.

Artificial Inteligence 59

Artificial Inteligence Machine Learning How To Open Source 59

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence.

Trends 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

JANUARY 25, 2022

We looked at four specific kinds of data: search queries, questions asked to O’Reilly Answers (an AI engine that has indexed all of O’Reilly’s textual content; more recently, transcripts of video content and content from Pearson have been added to the index), resource usage by title, and resource usage by our topic taxonomy.

Trends 117

Trends Technical Review Technology Artificial Inteligence 117

Altexsoft

JULY 29, 2022

What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. How data engineering works under the hood.

Big Data 59

Big Data Data Google Cloud Open Source 59

O'Reilly Media - Ideas

APRIL 19, 2021

The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%). The need for people managing and maintaining computing infrastructure was comparatively low (24%), hinting that companies are solving their infrastructure requirements in the cloud.

Enterprise 145

Enterprise Survey Weak Development Team Education 145

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

O'Reilly Media - Ideas

JANUARY 25, 2021

More traditional modes also saw increases: usage of books increased by 11%, while videos were up 24%. We also added two new learning modes, Katacoda scenarios and Jupyter notebooks, during the year; we don’t yet have enough data to see how they’re trending. It’s important to place our growth data in this context. The result?

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145