Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

JANUARY 19, 2024

Mulesoft and Its Key Features MuleSoft provides a unified integration platform for connecting applications, data, and devices on-premises and in the cloud. Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Key Features: Drag-and-drop user interface.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

Astera

JANUARY 18, 2024

Centerprise for data integration and building and orchestrating data pipelines. Data Warehouse Builder for creating a custom data warehouse and related data warehousing features. EDIConnect for EDI management. API Management for designing, testing, publishing, and monitoring APIs.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management , among others.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management , among others.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52