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. Use with caution, and test before committing to using them.

Clustering 98

Clustering Database SQL Data Pipeline 98

phData

JULY 18, 2024

Snowflake 2024 Partner of the Year Fivetran 2024 Partner of the Year dbt 2023 Partner of the Year Alation 2024 SI Partner of the Year Automation With all our experience with projects, we have created in-house automation tools for many DE tasks, especially when using Snowflake as your cloud data provider.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Data Engineering 52

Precisely

JANUARY 18, 2024

In fact, in a 2023 BMC survey , 92% of respondents said they see the mainframe as a platform for long-term growth and new workloads. And, they’re still a key element of the infrastructure that makes private clouds possible at many organizations. The mainframe is alive and well, and it’s not going anywhere anytime soon.

AWS 52

AWS Artificial Intelligence Artificial Intelligence Cloud Computing 52

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Gateways are being used as another layer of security between Snowflake or cloud data source and Power BI users.

Power BI 84

Power BI Analytics Analytics Azure 84

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Furthermore, a shared-data approach stems from this efficient combination. Originally published at [link] on February 9, 2023.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

IBM Journey to AI blog

JULY 17, 2023

Real-time analytics and BI: Combine data from existing sources with new data to unlock new, faster insights without the cost and complexity of duplicating and moving data across different environments. The post Exploring the AI and data capabilities of watsonx appeared first on IBM Blog.

AI 74

AI AI Machine Learning Machine Learning 74

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 Cloud Data 52

Snorkel AI

MAY 26, 2023

What’s really important in the before part is having production-grade machine learning data pipelines that can feed your model training and inference processes. And that’s really key for taking data science experiments into production. And so that’s where we got started as a cloud data warehouse.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

What’s really important in the before part is having production-grade machine learning data pipelines that can feed your model training and inference processes. And that’s really key for taking data science experiments into production. And so that’s where we got started as a cloud data warehouse.

SQL 52

SQL ML ML Python 52

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. In “The modern data stack is dead, long live the modern data stack!” Cloud costs are growing prohibitive.

Data Pipeline 52

Data Pipeline Data Warehouse Cloud Data ETL 52

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. Both persistent staging and data lakes involve storing large amounts of raw data.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52