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 108

Enterprise Artificial Inteligence Government Budget 108

Altexsoft

OCTOBER 8, 2021

It’s worth remembering though that open-source projects may entail hidden costs related to purchasing hardware, building networks, training staff, etc. Not to mention that they require a decent level of expertise to develop, deploy, and maintain data integration flows. How to choose data integration software: key comparison criteria.

Tools 52

Tools Data Software Review Open Source 52

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 2, 2020

A data architect focuses on building a robust infrastructure so that data brings business value. Data modeling: creating useful and meaningful data entities. Data integration and interoperability: consolidating data into a single view. It’s very important to create a comprehensive data governance policy.

Database Administration 64

Database Administration Strategy Data Technical Review 64

O'Reilly Media - Ideas

JANUARY 25, 2022

We used data from the first nine months (January through September) of 2021. When doing year-over-year comparisons, we used the first nine months of 2020. Data analysis” and “data engineering” are far down in the list—possibly indicating that, while pundits are making much of the distinction, our platform users aren’t.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

We’re just saying that when you make comparisons, you have to be careful about exactly what you’re comparing. 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. The horse race? That’s just what it is.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145