Welcome to our Real-Time Data Warehouse Resources
Why real-time data warehouse? Make decisions quicker based on more current and more accurate, transactionally consistent, data. Why wait till tomorrow to make a decision you can make today? We’ve compiled our data warehouse related resources here for you to easily find more information about how to integrate into your data warehouse from a variety of sources for real-time analytics.
On this page you will find:
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Case Study – CACI: Real-Time Data Integration into a Data Warehouse
About: CACI provides information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers.
- Integrate student administration data with government systems
- Provide real-time data integration for CACI and third- party data to a data warehouse.
- Microsoft SQL Server
Use Case: On-premises and cloud-based data integration
Case Study – Atos: Hot Standby and Data Warehouse
How Atos Maximizes Value of IT Services to Its Customers
Atos uses HVR to Minimize Downtime and for Data Warehousing
About: Atos runs a highly successful business, managing outsourced IT services—everything from data centers, server farms and network communication systems to local PCs, software applications and printers. In addition to performing functions such as managing software licenses and delivering help desk support, Atos also helps large companies roll out new software or software upgrades to thousands of employees worldwide.
- Minimize possible downtime of the business critical IT service systems.
- Implement a data warehouse for real-time data reporting.
- Hot Standby
- Data Warehouse
Data Warehouse Data Integration Example: Oracle to Greenplum and Teradata
This video shows data loading from an Oracle source into Greenplum AND Teradata simultaneously using HVR. HVR loads data in real-time at high speed into both environments without causing load on the Oracle source. HVR supports both Change Data Capture and initial data load.
Real-Time Data Warehouse Blog Posts
Data Lake or Data Warehouse?
Over the last few decades we’ve seen an explosion in the use of Data Warehousing within the IT industry; it was all the rage for doing analytics and reporting. This was a popular concept as companies could perform cross analysis of their large amounts of data quickly and efficiently to support management’s strategic decision-making process.
Why Have a Real-Time Data Warehouse?
Make decisions quicker based on more current and more accurate, transactionally consistent, data. Why wait till tomorrow to make a decision you can make today? Lower the load on the data source. Many organizations, especially the ones operating 24×7, have a hard time identifying the ideal data load window that is eliminated by low-impact, log-based change data capture (CDC).
Redshift Data Warehouse
Amazon Redshift is a managed data warehouse service in the cloud. Redshift originated in 2012 as a fork of the ParAccel database following Amazon’s investment in the company ParAccel. Redshift is a columnar, Massively Parallel Processing (MPP) scale out, database built for fast analytical queries running on commodity hardware. In this post, learn some best practices for integrating continuously into your Redshift Data Warehouse environment.