IBM Journey to AI blog

SEPTEMBER 11, 2023

Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology.

Database 101

Database SQL Data Warehouse Machine Learning 101

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

Cloud Computing Azure Cloud Data AWS 115

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.

Azure 71

Azure Database Analytics Analytics 71

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

Data Warehouse Business Intelligence Business Intelligence Database 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

Data Pipeline Python Data Engineer Data Engineering 52

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.

Clustering 98

Clustering Database SQL Data Pipeline 98

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

Data Warehouse Data Pipeline ETL Azure 52

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.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

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.

AI 52

AI AI Cloud Computing Data Scientist 52

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.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

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.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

Data Science Blog

SEPTEMBER 3, 2024

Der Gartner´s Magic Quadrant zu Process Mining Tools für 2024 zeigt einige Movements im Vergleich zu 2023. Process Mining Tool im Gartner Magic Quadrant Chart – 2023 vs 2024 Auch wenn ich große Ehrfurcht gegenüber Gartner als Quelle habe, bin ich jedoch nicht sicher, wie weit die Datengrundlage für die Feststellung geht.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

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 Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52