Altexsoft

AUGUST 25, 2021

Sentiment analysis results by Google Cloud Natural Language API. Which of course means that there’s an abundance of research in this area. Not all language models are as impressive as this one, since it’s been trained on hundreds of billions of samples. These won’t be the texts as we see them, of course.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

ParkMyCloud

JANUARY 17, 2020

For individuals that can design, build, test and maintain cloud solutions – such as applications and services – and partner with cloud solutions architects, cloud administrators, cloud DBAs, and clients in order to implement these solutions. . Azure Data Scientist Associate. Professional Data Engine er.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Existek

SEPTEMBER 28, 2023

Besides, their responsibilities include considering such factors as data type, volume, complexity, etc. Training and optimization: They use data to build and train AI models. Using prepared data, AI software developers can implement techniques to evaluate and optimize model performance.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Xebia

FEBRUARY 25, 2024

DevOps may sound familiar, but nowadays there are a lot more terms: LLMOps, LegOps (no, not Lego-Ops), and of course MLOps. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. Machine learning operations: what and why MLOps, what the fuzz?

Applications 130

Applications Technical Review Software Review Azure 130

O'Reilly Media - Ideas

JANUARY 25, 2024

And, of course, design patterns are used in legacy code—even code that was written before the term was coined! That may or may not be advisable for career development, but it’s a reality that businesses built on training and learning have to acknowledge. So what does all this tell us about training and skill development?

Trends 122

Trends Technical Review Technology Artificial Inteligence 122

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 Storage 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 engineering was the dominant topic by far, growing 35% year over year.

Trends 138

Trends Technical Review Technology Software Review 138

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

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

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Cloudera , focusing on Big Data analytics. Apache Kafka courses on Udemy. Kafka disadvantages.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

O'Reilly Media - Ideas

JANUARY 25, 2022

To understand the data from our learning platform, we must start by thinking about bias. First, our data is biased by our customer base. So while we can discuss whether Answers usage is in line with other services, it’s difficult to talk about trends with so little data, and it’s impossible to do a year-over-year comparison.

Trends 113

Trends Technical Review Technology Artificial Inteligence 113

O'Reilly Media - Ideas

JANUARY 25, 2021

The data includes all usage of our platform, not just content that O’Reilly has published, and certainly not just books. We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Capgemini

MARCH 31, 2024

Have a roadmap – Seldom do we wind up anywhere meaningful without plotting a course. Plotting a wayfinding course implies a destination both sufficiently valuable and sufficiently defined to get there. Perhaps nowhere is this concept more crucial than in the realm of Generative Software Engineering.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52