Data Management in a Cloud Computing Environment

As the adoption of cloud computing continues to grow, we are now at the point where many companies may have deployed applications both off-premise on public clouds and on-premises on private clouds. They may even be using off-premise infrastructure to extend their private cloud environments. As a consequence, there is now a demand to seamlessly manage and govern data in a consistent way irrespective of its location in a cloud computing and hybrid environment.

This session looks in detail at the challenge of consistently managing data in a cloud computing environment and looks at what is needed to keep data consistent across off-premises and on-premises systems. In particular, it looks at important data management disciplines such as maintaining data privacy, data access security, data quality, data consolidation, data virtualisation, replication, master data management and data synchronisation across on-premises and off-premises clouds and what is possible today. It also looks at hybrid logical data lakes and explores concerns about the added complexity that off-premises data brings. Furthermore, it will highlight problems that still need to be solved to get to a point where companies can confidently and freely manage off-premises and on-premises data in a seamless manner.

The following will be discussed during this session:

• Pros and cons of deploying on the cloud?
• Deploying systems on public and private clouds – what are the options
• Cloud object storage, e.g. Amazon S3, Azure Storage, Openstack Swift
• Managing data governance across cloud and on-premises systems
• Managing data privacy and data access security in a hybrid cloud computing environment
• Ingesting data in the cloud – streaming and batch ingestion
• Cloud-based and on-premises data integration solutions, such as MDM, data virtualisation