O'Reilly Media - Ideas

JANUARY 22, 2019

Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. It does have a lot going for it, though—namely, that it’s open source and portable between cloud providers. Cloud-native infrastructure. Cloud-native infrastructure. This development marks a clear shift from merely doing business in the cloud.

Systems Review 99

Systems Review Trends Engineering System 99

Linux Academy

AUGUST 1, 2019

During the last week of July, we brought Azure home to Cloud Playground. We’ve already mentioned the new Azure Cloud Playground, but that’s not the only new thing we have going on. Google Cloud: 8. The New Stuff. In the past month, we’ve also launched over 110 new hands-on labs! DevOps: 32.

Linux 16

Linux Google Cloud AWS Course 16

Linux Academy

NOVEMBER 1, 2019

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. Database Administration and SQL Language Basics . Google Cloud Essentials (NEW). Each month we will kick off our community content with a live study group. AWS Concepts.

Linux 15

Linux Course AWS Google Cloud 15

Datavail

MAY 23, 2023

During my session, I discussed the myth that once databases are moved to a cloud provider, the company won’t need their database administration (DBA) team. Many people mistakenly believe that when they move their databases to a cloud provider, they don’t need a database administrative (DBA) team.

Database Administration 52

Database Administration Conference Google Cloud Open Source 52

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

JULY 4, 2022

Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. Cloud infrastructure engineer. Obviously, this professional creates, deploys, updates, and supports cloud-based infrastructures. Infrastructure is quite a broad and abstract concept. How is it possible?

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Altexsoft

SEPTEMBER 19, 2019

It supports on-premise, cloud, and hybrid deployment scenarios. There are two ways of obtaining data with Sisense: importing it to ElastiCube, the solution’s proprietary database, or connecting directly to sources. The platform connects to both cloud and on-premise data sources through a web data connector and APIs.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Cloudera

DECEMBER 12, 2018

So, that’s kind of how I got introduced to databases and SQL systems. I then ended up working for a travel company and did database administration there. After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer.

Marketing 42

Marketing Data Storage Big Data 42

Altexsoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., Hadoop, Apache Spark).

Examples 59

Examples Tools Data Artificial Inteligence 59

Capgemini

APRIL 20, 2022

Google Cloud. They are the database administrators. Database administrators (DBAs) – those who manage a company’s data warehouses and similar data platforms – are the backbone of most IT operations. At the same time, database administrators are trusted advisors within their enterprise.

Database Administration 52

Database Administration Technical Review Serverless Google Cloud 52

CIO

JANUARY 20, 2023

As more companies use the cloud and cloud-native development, normalizing data has become more complicated. “It It might be in a NoSQL database, a graph database, or in all these other types of databases now available, and making those consistent becomes really challenging,” Orlandini says.

Data 203

Data Compliance Architecture Technical Review 203