Astera

JUNE 6, 2023

The pipeline includes stages such as data ingestion, extraction, transformation, validation, storage, analysis, and delivery. Technologies like ETL, batch processing, real-time streaming, and data warehouses are used. They are ideal for handling historical data analysis, offline reporting, and batch-oriented tasks.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

OCTOBER 19, 2023

Flexibility and Adaptability Flexibility is the tool’s ability to work with various data sources, formats, and platforms without compromising performance or quality. Alteryx Alteryx data preparation tool offers a visual interface with hundreds of no/low-code features to perform various data preparation tasks.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

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

Tableau

DECEMBER 7, 2022

But good data—and actionable insights—are hard to get. Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments.

Talent Acquisition 96

Talent Acquisition Data Warehouse Data Architecture Visualization 96

Tableau

DECEMBER 7, 2022

But good data—and actionable insights—are hard to get. Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments.

Talent Acquisition 94

Talent Acquisition Data Warehouse Data Architecture Visualization 94

Astera

DECEMBER 28, 2023

For example, with Astera, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based. Transform and shape your data the way your business needs it using pre-built transformations and functions. Automate and orchestrate your data integration workflows seamlessly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

For example, with Astera, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based. Transform and shape your data the way your business needs it using pre-built transformations and functions. Automate and orchestrate your data integration workflows seamlessly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52