Alation

MARCH 22, 2022

As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT. They created each capability as modules, which can either be used independently or together to build automated data pipelines.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineer 52

Precisely

JANUARY 19, 2023

Data Integration Enterprises are betting big on analytics, and for good reason. The volume, velocity, and variety of data is growing exponentially. Platforms like Hadoop and Spark prompted many companies to begin thinking about big data differently than they had in the past.

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

phData

FEBRUARY 5, 2024

Setting up the Information Architecture Setting up an information architecture during migration to Snowflake poses challenges due to the need to align existing data structures, types, and sources with Snowflake’s multi-cluster, multi-tier architecture. Moving historical data from a legacy system to Snowflake poses several challenges.

SQL 52

SQL Database Data Quality Data Warehouse 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. Deployment should be resource-efficient and easily targeted to fit your use cases.

Data Governance 64

Data Governance ETL Data Pipeline Azure 64

phData

JANUARY 24, 2024

Fivetran includes features like data movement, transformations, robust security, and compatibility with third-party tools like DBT, Airflow, Atlan, and more. Its seamless integration with popular cloud data warehouses like Snowflake can provide the scalability needed as your business grows.

Data Warehouse 52

Data Warehouse Data Pipeline Data Governance Cloud Data 52

phData

JULY 19, 2023

In this blog post, we’ll dive into the amazing advantages of using Fivetran , a powerful data integration platform that will revolutionize the way you handle your data pipelines. They established an Information Architecture for Snowflake Data Cloud , enabling automated database and role creation.

Data Warehouse 52

Data Warehouse Database Data Pipeline SQL 52

phData

JULY 19, 2023

In this blog post, we’ll dive into the amazing advantages of using Fivetran , a powerful data integration platform that will revolutionize the way you handle your data pipelines. They established an Information Architecture for Snowflake Data Cloud , enabling automated database and role creation.

Data Warehouse 52

Data Warehouse Database Data Pipeline SQL 52

Pickl AI

OCTOBER 15, 2024

Talend Talend is a leading open-source ETL platform that offers comprehensive solutions for data integration, data quality , and cloud data management. It supports both batch and real-time data processing , making it highly versatile.

ETL 52

ETL Azure AWS Data Governance 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. Deployment should be resource-efficient and easily targeted to fit your use cases.

Data Governance 52

Data Governance ETL Data Pipeline Azure 52

phData

FEBRUARY 21, 2024

Matillion’s Data Productivity Cloud is a versatile platform designed to increase the productivity of data teams. It provides a unified platform for creating and managing data pipelines that are effective for both coders and non-coders. Please contact our team for assistance in accomplishing this goal.

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. Your customer data game will never be the same.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52

AWS Machine Learning Blog

APRIL 3, 2025

The company aims to integrate additional data sources, including other mission-critical systems, into ODAP. This expansion will be coupled with enhanced data governance measures to help promote data quality and compliance across the growing data solution.

AWS 71

AWS Data Governance Data Silos SQL 71

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 SQL 52

phData

OCTOBER 17, 2023

This cuts into time that can be spent delivering new data/features – and often results in leadership wondering why it is taking so long for new products to arrive (which leads to projects being cut). Additionally, frequent trust issues arise as these pipelines break or data quality suffers.

ETL 52

ETL Data Pipeline Data Engineering Data Engineer 52

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Data Pipeline Automation. Advanced Tooling.

Data Governance 52

Data Governance Cloud Data Database Data Silos 52

Precisely

FEBRUARY 10, 2023

Cloud Adoption Will Continue Steadily Cloud computing and its inherent scalability and elasticity offer distinct advantages, especially with respect to AI/ML and advanced analytics. As cloud data platforms and powerful analytics tools gain in popularity, the march toward the cloud continues at a rapid pace.

DataOps 52

DataOps Data Observability ML ML 52