Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. It synthesizes all the metadata around your organization’s data assets and arranges the information into a simple, easy-to-understand format.

Data Governance 64

Data Governance ETL Data Pipeline Azure 64

Pickl AI

APRIL 9, 2025

Integration : Can it connect with existing systems like AWS, Azure, or Google Cloud? Integration capabilities are crucial for leveraging cloud services. Informatica PowerCenter Informatica PowerCenter is a leading enterprise-grade ETL tool known for its robust data integration capabilities.

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

phData

SEPTEMBER 20, 2023

Data mesh proposes a decentralized and domain-oriented model for data management to address these challenges. What are the Advantages and Disadvantages of Data Mesh? Advantages of Data Mesh Improved data quality due to domain teams having responsibility for their own data.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

phData

OCTOBER 11, 2024

To help, phData designed and implemented AI-powered data pipelines built on the Snowflake AI Data Cloud , Fivetran, and Azure to automate invoice processing. Migrations from legacy on-prem systems to cloud data platforms like Snowflake and Redshift. This is where AI truly shines.

AI 52

AI AI Data Pipeline ML 52

Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. It synthesizes all the metadata around your organization’s data assets and arranges the information into a simple, easy-to-understand format.

Data Governance 52

Data Governance ETL Data Pipeline Azure 52

phData

MAY 11, 2023

Snowflake has so many features that make it the leader in the Cloud Data Warehouse market. Cloning in Snowflake simply means that the data in the clone is not a copy of the original data but simply points back to the original data. there are other tools that allow for automating accounts, roles, and permissions.

Database 52

Database SQL DataOps Data Warehouse 52

Alation

DECEMBER 14, 2021

But by partnering with a professional consultant in data quality management systems, forward-thinking enterprises gain a significant competitive edge over their competitors. What is cloud-native? Cloud hosting costs are generally low, but cloud management fees can be higher than cloud storage or cloud backup costs.

Cloud Computing 52

Cloud Computing Azure AWS Data Quality 52

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse. Read more here.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

The MLOps Blog

MAY 17, 2023

Here are some specific reasons why they are important: Data Integration: Organizations can integrate data from various sources using ETL pipelines. This provides data scientists with a unified view of the data and helps them decide how the model should be trained, values for hyperparameters, etc.

ETL 59

ETL Data Pipeline ML ML 59

phData

FEBRUARY 21, 2024

Matillion is also built for scalability and future data demands, with support for cloud data platforms such as Snowflake Data Cloud , Databricks, Amazon Redshift, Microsoft Azure Synapse, and Google BigQuery, making it future-ready, everyone-ready, and AI-ready.

Data Pipeline 52

Data Pipeline Azure Cloud Data Data Quality 52

phData

SEPTEMBER 27, 2024

Data Quality Management : Persistent staging provides a clear demarcation between raw and processed customer data. This makes it easier to implement and manage data quality processes, ensuring your marketing efforts are based on clean, reliable data. Here’s where it gets really interesting.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52