Astera

JANUARY 24, 2024

However, with SQL Server change data capture , the system identifies and extracts the newly added customer information from existing ones in real-time, often employed in data warehouses, where keeping data updated is essential for analytics and reporting. How C hange D ata C apture Works?

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

JULY 3, 2024

These data architectures include: Data Warehouse: A data warehouse is a central repository that consolidates data from multiple sources into a single, structured schema. It organizes data for efficient querying and supports large-scale analytics.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

SEPTEMBER 4, 2024

This approach involves delivering accessible, discoverable, high-quality data products to internal and external users. By taking on the role of data product owners, domain-specific teams apply product thinking to create reliable, well-documented, easy-to-use data products. That’s where Astera comes in.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

Astera

AUGUST 15, 2024

It’s also more contextual than general data orchestration since it’s tied to the operational logic at the core of a specific pipeline. Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52