Astera

JULY 3, 2024

It organizes data for efficient querying and supports large-scale analytics. Data warehouse architecture defines the structure and design of a centralized repository for storing and analyzing data from various sources. Each type of data architecture—centralized or distributed—has unique strengths and use cases.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

NOVEMBER 1, 2023

This empowers them to generate reports on demand and reduce their reliance on IT or data teams. Such agility accelerates their ability to respond swiftly to market fluctuations, customer demands, and emerging financial opportunities, which ultimately strengthens the organization’s agility and competitiveness.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 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.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

JANUARY 2, 2024

Data Governance Data governance provides strategic oversight and a framework to ensure that data is treated as a valuable asset and managed in a way that aligns with organizational goals and industry best practices. It ensures data quality, consistency, and compliance with regulations.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 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

Sisense

SEPTEMBER 3, 2020

It’s important that the analytics and BI team clearly indicate their needs and that the data team understand what the BI platform will be used for and how they can build the right data model(s) to suit the analytics and BI team’s requirements. Scalability, agility, and capacity. Data Team: Agreed.

Visualization 105

Visualization Government Embedded Analytics Agile 105

Astera

JANUARY 12, 2024

Data Vault vs Data Mesh: A Comparison Let’s compare the two approaches to uncover the differences and similarities between them for improved understanding: Differences: Infrastructure Data Vault typically relies on a centralized infrastructure, often involving a data warehouse or similar centralized storage system.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 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

Insight Software

JULY 13, 2023

Without deep insights into your organization’s operations, your stakeholders lack a clear understanding of company-wide performance and data analysis to shape the future. Key challengers for your Oracle users are: Capturing vast amounts of enterprise data requires a powerful and complex system.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52