Welcome to our Cloud Data Integration Resources
On this page, you will find a variety of sources about moving data from on-premise to the cloud, cloud to cloud, and more. Learn how you can transform your business with continuous cloud integration for real-time analytics.
- Customer Stories
- Royal Dutch PostNL
- Best Practice Guides
- Best Practice Guide: Continuous Data Integration in Hybrid Cloud Environments
- Webinar: Real-Time Analytics from the Factory to the Cloud with GE Predix
- Webinar: Unlocking Your SAP Data with HVR
- Webinar: Best Practice for Data Integration Into AWS
- Webinar: Deploying a Data Lake in The Cloud
- Webinar: Emerging Best Practices in Hybrid Cloud Strategies with Operational, External, and IoT Data
- Webinar: Streaming Real-Time from On-Premise Databases to Big Data in the AWS Cloud
- Demo: Amazon Web Services (AWS) Replication Made Fast and Easy
- Demo: Replicating Into Microsoft Azure
- Blog Posts
- Cloud Data Migration
- Cloud Data Integration
- Cloud Reporting Challenges: Security, Connectivity, & Latency
- Infographic – Trends in Cloud Data Integration for Today and the Future
To get started, we recommend the following video in which HVR CTO, Mark Van de Wiel, discussed the cloud with Matt Aslett of 451 Research.
If you would like to better understand how HVR can help you with your cloud data integration project, please visit our cloud data integration product page or contact us.
Cloud Adoption For Greater Business Agility
Featuring Matt Aslett of 451 Research
Matt Aslett of 451 Research joins our CTO, Mark Van de Wiel, to discuss why organizations are flocking to the cloud, considerations for adopting a cloud strategy and how a cloud strategy can enable better business agility.
Case Study: Royal Dutch PostNL
How HVR Enables a 100% Cloud Organization
About: PostNL offers mail, parcel and e-commerce products and services in the Netherlands, United Kingdom, Germany, and Italy.
- Reduce costs to create a competitive advantage by replacing on-premises data centers with cloud infrastructure
- Migrate applications, data and IT infrastructure to the cloud
- Enable on-going intercloud integration
Databases/Systems: Oracle, SQL Server, Azure, Amazon EC2
- Data Migration to the Cloud
- Ongoing Intercloud Cloud Data Integration
Best Practice Guides
Best Practice Guide: Continuous Data Integration in Hybrid Cloud Environments
Our Guide Contains:
- Tips for addressing data security when moving data between environments
- Considerations for compatibility between data sources and targets
- Thought starters on how to achieve network efficiency, especially with high volume data movement
- . . . And more
Download Our Complimentary Guide Today
Webinar: Real-Time Analytics from the Factory to the Cloud with GE Predix
As the industrial age is morphing into the digital age, how do traditional factories evolve? Modern demands require manufacturers to have the ability to support faster production, vary product output at a moment’s notice, lower power consumption and eliminate waste all while improving throughput and efficiency. Having the ability to manage costs and make decisions based on real-time information has become even more critical. Not only that, but how do you best consolidate the data from the factory floor to the teams that need it for analysis?
In this webinar, learn how GE Digital, working with HVR, architected a solution to enable factories to reduce costs and drive efficiencies by performing real-time analytics in the cloud.
Webinar: Unlocking Your SAP Data with HVR
In this webinar HVR’s CTO, Mark Van de Wiel, discusses the challenges of extracting data from SAP ECC and SAP HANA. He talks about why it’s important to have the ability to extract and leverage this data in continuous real-time for common use cases such as data lakes, data warehousing and consolidated reporting.
Webinar: Best Practices for Data Integration into AWS
Integrating data into the cloud for real-time analytics require some considerations as to how to do it successfully. In this webinar, HVR CTO, Mark Van de Wiel talks about best practices HVR customer have employed in order to ensure successful ongoing data integration into the AWS cloud.
Webinar: Deploying a Data Lake in the Cloud
Is your organization adopting the Cloud? Are you involved in any discussions about implementing a Data Lake?
In this webinar, HVR experts Joe deBuzna and Mark Van de Wiel in this provide practical, real-world knowledge about how to integrate data successfully into your cloud-based data lake. They address common cloud and data lake deployment concerns such as: integrating data from multiple sources, moving data securely, validating data and more.
This webinar also features a live demo of HVR’s latest Data Lake release to continuously move on-prem data into a Data Lake on S3, and programmatically validate data correctness.
What you will learn:
- Evolution of data integration that led to Data Lakes
- Common challenges when integrating data into a Data Lake and how to overcome them
- Best practices for integration into, out of and between Clouds
Webinar: Emerging Best Practices in Hybrid Cloud Strategies with Operational, External, and IoT Data
Many companies are beginning to acquire IoT data and more external data sets for completely new forms of analytics. These large, external and streaming data sets are a source of insights on their own, but companies are quickly realizing the tremendous value in integrating these with their existing operational systems and databases. This has given way to a set of new architecture patterns and data engineering best practices that are being incorporated into cloud and hybrid cloud strategies. This presentation explores some of the proven strategies, new technologies, and lessons learned from these early pioneers.
- How architecting with cloud based services are changing enterprise architecture decisions
- How real-time analytics are engineering data flows that are leveraging operational data
- How data lakes are bringing together on-premises operational data with large external data sets for analytics
- How new technologies and ecosystems require specific knowledge to align with SLAs
Webinar: Streaming Real-Time from On-Premise Databases to Big Data in the AWS Cloud
Having the capacity to move data seamlessly from on-premise databases to the cloud often requires significant internal effort and resources.
However, the ability to move and integrate data seamlessly across heterogeneous systems in real-time is becoming mission critical in today’s ever growing connected environments. Watch our video to see how easy it can be to mitigate this challenge.
In this on-demand webinar, we will show you how easy it can be to sync real time data changes from SQL Server to multiple destinations. This download takes less than 100MB of space and runs in minutes.
Demo: Amazon Web Services (AWS) Replication Made Fast and Easy
Setting up replication into Amazon’s databases such as Relational Database Service (RDS), Redshift and Elastic Map Reduce (EMR) is made fast and easy with HVR. This video shows the replication of an on-premises Oracle database data into an Oracle Database on an EC2 server and Redshift using the HVR Image for AWS. No local installation on AWS needs to be performed so set-up is quickly and easy. Loading data into Redshift is efficient by using the copy-from-S3 feature of Redshift – all controlled and configured by HVR.
Demo: Replicating into Microsoft Azure
This recorded demonstration shows the setup of HVR delivering data into Microsofts’ Azure using HVR Image for Azure – a preconfigured image of a virtual machine in Azure enabling you to start replicating from and into Azure in minutes. Data out of an on-premises Oracle database is replicated to a new empty Azure SQL database covering all real-time replication steps: (1) table creation, (2) initial load, (3) real-time replication and finally (4) validation (compare) to ensure the system are in sync. This video is also useful for any other database destinations in Microsoft Azure. Contrary to the video, the image is now delivered through the Azure marketplace instead of the Azure gallery.
Cloud Related Blog Posts
Cloud Data Integration
At the 2016 AWS Summit in New York we addressed lots of questions about what the move to the Cloud means to HVR. Numerous long-time HVR clients have started the move to the Cloud, and many new opportunities consider the Cloud as their starting point. How can HVR’s architecture be applied to the Cloud, either in a hybrid scenario with some systems still on-premises and others in the Cloud, or in a Cloud-only setup?
Cloud Data Migration
Organizations large and small are adopting the cloud. With security in the cloud having come a long way, and as data center servers are up for renewal, organizations choose the cloud to host their applications, databases, and file system. Recently large organization including AT&T, GE and CapitalOne have publicly come out with their intentions to shift very significant percentages of their workloads to the cloud.
Cloud Reporting Challenges
Security, Connectivity, & Latency
When embarking on a Cloud initiative, the first use case most organizations consider is reporting, and more and more organizations see the benefits of real-time reporting and analytics. Relative to on-premises real-time reporting, using the Cloud as a destination for real-time reporting introduces a few challenges that must be thought through in order to implement an optimum cloud integration solution.
HVR surveyed leaders in a range of industries about their
current real-time data integration practices, needs and challenges. From IT professionals and data architects to CTOs . . .