Rethinking Key Data Management Practices After Cloud Migration

Cloud adoption in the enterprise continues to accelerate as more and more businesses seek opportunities to reduce costs, increase efficiencies and improve agility. Right now, close to three quarters of DBTA subscribers are planning digital transformation projects focused on cloud solutions.

When it comes to moving data and applications to the cloud, there is a growing array of platform choices, deployment models and features to fit every bill. However, cloud migration is not a cure-all for every IT and business woe. While the same can be said of staying on-premises, the fact is our increasingly cloud-based world requires enterprises to rethink their data management practices, people and processes.

From integration, security and data and financial governance, to big data observability and optimization, new outlooks and approaches are essential to successfully navigating this changing world.

DBTA recently held a roundtable webinar featuring Michael Agarwal, global lead and director, cloud databases, Datavail; Joel Stewart, vice president of customer success, Pepperdata; Sushant Rao, director, product marketing, Cloudera, who discussed strategies, roles, and responsibilities for cloud migration initiatives.

To put a successful cloud migration strategy in place, focus on primary goals and establish measurable criteria, Stewart said. Know before you go and ensure that you’re achieving your goals. Put a governance model in place and ask questions such as: Who can start new resources?  Whose budget owns what resources? Consider incremental roll out. Review risks and create a backup plan to reverse the migration if it is an experiment.

Automatically optimize your big data cloud workloads and infrastructure, he said. Cloud optimization is never a ‘one and done’ action and it can quickly become time and resource intensive. Focus on your long-term goals. Leverage automation to improve operational efficiency and eliminate surprises and cost overruns. Create a practice of automatically tracking and eliminating waste throughout your data architecture.

DBA responsibilities in the cloud include database installation, database backup and recovery, high availability and disaster recovery, performance monitoring and database tuning, security and compliance, capacity planning, ETL work, agility, global replication, scaling, database design and development, database deployment, data center reliability, virtualization layer problems, and database upgrades, Agarwal said.  These responsibilities are less complex when done in the cloud versus on premise.

Cloud is an agility enabler. It allows users to experiment, create, change and destroy AWS resources as users need using IaaC, according to Agarwal.

Modern data lakes require identities, schema, policy, and audits, Rao said. And it requires active management of data stewardship, replication, workload, and encryption.

The cloudera shared data experience offers common security, governance, and metadata management from the Edge to AI, Rao said. The Cloudera data platform can:

  • Increase business agility deploy consistently secure data lakes faster
  • Increase business insights deploy more use cases faster
  • Increase governance capability achieve and maintain regulatory compliance with ease
  • Decrease operational costs one environment for all needs
  • Decrease staff overhead one set of controls for everything
  • Decrease security risks comprehensive controls for multiuser data access

An archived on-demand replay of this webinar is available here.