Astera

JANUARY 12, 2024

Data volume continues to soar, growing at an annual rate of 19.2%. A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Think of data architecture as the blueprint for how a hospital manages patient information.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. This tailored approach is central to agile BI practices.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Migrate to Cloud-based data architecture.

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Astera

DECEMBER 21, 2022

The fact that the cloud data warehousing market is expected to reach $3.5 billion by 2025 should serve as enough proof that traditional data warehouses have been unable to provide organizations with the speed, scalability, and agility they are looking for. 6 Benefits of Cloud Data Warehousing.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

OCTOBER 27, 2023

The fact that the cloud data warehouse market is expected to reach  $3.5 billion  by 2025 only means that traditional, on-premises data warehouses have increasingly been unable to provide organizations with the speed, scalability, and agility they seek. Dimensional Modeling or Data Vault Modeling?

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Insight Software

MAY 1, 2023

Requirements shift and evolve over time as users start to see what’s possible. The key is to stay agile and approach embedded analytics in an iterative way. Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement ODBC/JDBC Used for connectivity.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52