phData

JULY 18, 2024

Many data engineering consulting companies could also answer these questions for you, or maybe you think you have the talent on your team to do it in-house. Expertise Here at phData, we strive to be experts in data engineering, analytics, and machine learning. Why phData? Why should you choose phData to help?

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Data Engineering 52

phData

JANUARY 4, 2023

As Netezza creeps closer to its end-of-life date in early 2023, you may be looking for options to migrate to, this post will provide valuable insights into why Snowflake may be the best choice. The Snowflake Cloud Data Platform allows true pay-as-you-go cloud storage and computing—all without the need for complex reconfigurations.

Data Warehouse 52

Data Warehouse SQL Database ETL 52

phData

SEPTEMBER 20, 2023

However, Snowflake offers many of the capabilities needed for a self-service data platform, enabling a distributed, domain-driven architecture and offering capabilities to help implement data as a product and federated computational governance. Regularly communicate the progress, successes, and challenges of data mesh implementation.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

Mlearning.ai

FEBRUARY 16, 2023

Furthermore, a shared-data approach stems from this efficient combination. The background for the Snowflake architecture is metadata management, so customers can enjoy an additional opportunity to share cloud data among users or accounts. Simplify and Win Experienced data engineers value simplicity.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

IBM Journey to AI blog

JULY 17, 2023

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities. Savings may vary depending on configurations, workloads and vendor.

AI 74

AI AI Machine Learning Machine Learning 74

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. Contact phData today!

Data Warehouse 52

Data Warehouse Data Pipeline ETL Azure 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production.

SQL 52

SQL ML ML Python 52

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

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

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.

Clustering 98

Clustering Database SQL Data Pipeline 98

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

Data Science Blog

MARCH 14, 2023

Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

phData

JULY 23, 2024

This data can help healthcare providers retain their key talent and save hundreds of thousands of dollars in yearly recruiting costs. Many data engineering consulting companies could also answer these questions for you, or maybe you think your team has the talent to do it in-house. Why phData?

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 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. Building a composable CDP requires some serious data engineering chops.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52