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

That’s a fairly good picture of our core audience’s interests: solidly technical, focused on software rather than hardware, but with a significant stake in business topics. The topics that saw the greatest growth were business (30%), design (23%), data (20%), security (20%), and hardware (19%)—all in the neighborhood of 20% growth.

Trends 134

Trends Technical Review Technology Software Review 134

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. By the type of deployment, data warehouses can be categorized into. Source: Snowflake.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

O'Reilly Media - Ideas

MARCH 31, 2022

The largest percentages of respondents were from the computer hardware and financial services industries (both about 15%, though computer hardware had a slight edge), education (11%), and healthcare (9%). We can rephrase these skills as core AI development, building data pipelines, and product management.

Enterprise 109

Enterprise Artificial Inteligence Government Budget 109

Altexsoft

DECEMBER 4, 2020

Hardware and software become obsolete sooner than ever before. So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Depending on the hardware characteristics, even a single broker is enough to form a cluster handling tens and hundreds of thousands of events per second. How Apache Kafka streams relate to Franz Kafka’s books.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Cloud deployments aren’t top-down. That’s not surprising.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

UruIT

APRIL 27, 2020

Google Cloud . Microsoft’s Azure Machine Learning Studio . Microsoft’s set of tools for ML includes Azure Machine Learning (including Azure Machine Learning Studio), Power BI, Azure Data Lake, Azure HDInsight, Azure Stream Analytics and Azure Data Factory.

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

UruIT

JULY 23, 2019

Having these requirements in mind and based on our own experience developing ML applications, we want to share with you 10 interesting platforms for developing and deploying smart apps: Google Cloud. ” Microsoft’s Azure Machine Learning Studio. Innovative machine learning products and services on a trusted platform.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

O'Reilly Media - Ideas

JANUARY 25, 2021

The biggest challenge facing operations teams in the coming year, and the biggest challenge facing data engineers, will be learning how to deploy AI systems effectively. It’s no surprise that the cloud is growing rapidly. Usage of content about the cloud is up 41% since last year. Google faces a different set of problems.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145