Real-Time Data Integration Solution
HOW? — Log-Based Change Data Capture
Minimal impact
Log-Based CDC captures changes and moves only the changed data, creating little impact on the source systems.
Fast performance
HVR directly reads the logs on the file system allowing highly efficient change data capture, supporting large volumes of data.
More flexibility
Log-Based CDC capture supports more data operations such as truncates, and enables support for DDL capture.
Challenges batch processes present to modern organizations
Growing data volumes
Growing volumes of data are making it increasingly difficult to load all data within the available quiet period. This means data available for analysis can be out of synch with operational data.
Decisions on old data
Decisions have to be made based on the analysis of historical data alone.
Uptime is critical
As organizations increasingly serve customers 24×7, time windows available to update data on a batch basis have decreased. Many organizations have reached a point where they can no longer stop their operations for any amount of time to update the data warehouse.
HVR enables continuous, real-time data integration with log-based CDC
Data in sync
Log-based CDC reduces the risk that data in production databases and data warehouses will be out of sync
Decisions on the freshest data
Ensures that decisions can be made based on analysis of the latest data
Zero downtime
Supports 24×7 operations
HVR overview
Broad platform support
HVR was built for hybrid environments and enables a continuous data integration strategy.
Whether you’re moving data to a data lake or data warehouse, from on-prem to the cloud, we support it.
Organizations need to be able to integrate data sources where it makes sense and to have to manage that integration in hybrid scenarios. While it is possible to use traditional ETL solutions to integrate data from cloud-based solutions, they were not designed for this purpose. Similarly, traditional ETL systems are unable to take advantage of native functionality in streaming environments.
HVR was designed from the ground up for hybrid environments. It is therefore more streamlined and requires less manual coding than an alternative solution that bolts this functionality onto a traditional data integration product.
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Webinar: goeasy’s road to real-time analytics
goeasy, a financial services company based in Canada, provides consumer loans with a promise of fast decision making. They needed a faster way of integrating data between their SQL Server systems.
In this webinar, Anu Oladele, Director of Data Science & Business Insights—goeasy and Joe DeBuzna, VP of Field Engineering—HVR, discuss how they worked together to architect a solution that enabled goeasy to achieve real-time business insights and faster loan processing speeds. They discuss the business use case, their process, and share a technical overview of the solution developed as well as plans for scaling their solution.
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.
Challenge:
- Integrate student administration data with government systems
- Provide real-time data integration for CACI and third- party data to a data warehouse.
Databases:
- Oracle
- Microsoft SQL Server
Use Case: On-premises and cloud-based data integration
Whitepaper: continuous real-time data integration solution for real-time analytics
Understand why ETL data integration approaches are insufficient and how log-based CDC enables continual data integration
Because companies once made business decisions based on reports of historical data, they could only address events after the fact. Today, business leaders are increasingly looking to improve responsiveness by using real-time analytics to understand and address business challenges in real-time. To achieve real-time analytics, businesses need to integrate data from a variety of sources in real-time.
In this whitepaper you will learn:
Why traditional extract, transform, and load (ETL) data integration approaches are insufficient to meet the demands of real-time analytics
How organizations can achieve business agility through real-time analytics by taking advantage of solutions that integrate data in a highly flexible manner
How to keep up with growing data volumes and shrinking processing windows
Why Log-Based Change Data Capture is an optimal solution for real-time data integration
Resources from our blog
The Major Types of Data Integration
The Major Types of Data Integration (& When To Use Them) Introduction Data is currency. Clean, prepared, useful data represents value, just like cold cash (if not more so). Poorly-sourced, irresponsibly-stored, or corrupted data is as worthless as counterfeit bills...
Moving from Batch Processing to Real-Time Analytics
When is it time to switch to (near) real-time? As a leader in real-time data replication technology, we are often involved in helping our clients make the transition from a scheduled batch approach to a modern continuous streaming method. Some...
Change Data Capture and Impact on Database Processing
Change Data Capture – Impact on Database Processing Clients often ask: “What is HVR’s impact on database processing?” The question is simple, the answer, not so much. There are, however, a number of considerations. Supplemental Logging Most databases focused on transactional...
Continuous Data Integration
Exploding Data Volumes. Real-Time Demand. System Overload. What to do about it. Most organizations have a need to consolidate data from multiple systems to get the information required to be successful. Over the last few decades, organizations built Operational Data...
Real-Time Analytics Transforms Industries
Five Industries That Are Being Transformed By Real-Time Analytics In past blogs, I’ve defined real-time analytics and discussed alternative architectural approaches to implementing real-time analytic solutions. I’ve also touched on how some of our customers, such as Lufthansa, Aspen Marketing Services (a division of...
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