IBM Journey to AI blog

APRIL 4, 2024

Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. Four types of private clouds There are four main types of private clouds from which to choose: 1.

Cloud Computing 115

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Mlearning.ai

FEBRUARY 16, 2023

The platform enables quick, flexible, and convenient options for storing, processing, and analyzing data. The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Therefore, the tool is referred to as cloud-agnostic. Originally published at [link] on February 9, 2023.

Data Warehouse 52

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phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

phData

AUGUST 6, 2024

Organizations must ensure their data pipelines are well designed and implemented to achieve this, especially as their engagement with cloud data platforms such as the Snowflake Data Cloud grows. For customers in Snowflake, Snowpark is a powerful tool for building these effective and scalable data pipelines.

Data Pipeline 52

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phData

DECEMBER 4, 2023

However, if there’s one thing we’ve learned from years of successful cloud data implementations here at phData, it’s the importance of: Defining and implementing processes Building automation, and Performing configuration …even before you create the first user account. authorization server.

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phData

NOVEMBER 28, 2023

In July 2023, Matillion launched their fully SaaS platform called Data Productivity Cloud, aiming to create a future-ready, everyone-ready, and AI-ready environment that companies can easily adopt and start automating their data pipelines coding, low-coding, or even no-coding at all.

Data Warehouse 52

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phData

SEPTEMBER 20, 2023

The overarching Snowflake Data Cloud infrastructure facilitates seamless data sharing among companies and domains across various accounts, regions, and cloud platforms, offering standardized access to each other’s data products in a secure and well-governed manner.

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ODSC - Open Data Science

JULY 20, 2023

Depending on the size and complexity of the data and the company’s budget, there are several alternatives to a data center that can be considered. Cloud Services: A company with limited data resources may find that cloud services are a cost-effective solution. Neumister L. Alkaiss H, MacFarlane SI.

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ODSC - Open Data Science

JULY 11, 2023

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. Edge data centers: These are data centers that are located closer to the edge of the network, where data is generated and consumed, rather than in central locations.

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phData

SEPTEMBER 27, 2024

In transitional modeling, we’d add new atoms: Subject: Customer#1234 Predicate: hasEmailAddress Object: "john.new@example.com" Timestamp: 2023-07-24T10:00:00Z The old email address atoms are still there, giving us a complete history of how to contact John. This means you can have your open-source cake and eat it in the cloud too!

Data Modeling 52

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phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

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IBM Journey to AI blog

AUGUST 3, 2023

Another challenge with data being rapidly moved to the cloud and stored across multiple environments means it is highly likely for enterprises to lose visibility of their sensitive data. Guardium supports deployment on several cloud platforms, including Amazon AWS, Google, IBM Cloud, Microsoft Azure and Oracle OCI.

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