Experts Discuss New Strategies for Enterprise Data Management Today

From machine learning and automation to hybrid and multi-cloud environments, technology trends continue to reshape the practice of database management.

As a result, database professionals face new challenges and opportunities. Today, the average database team is tasked with managing more databases, bigger databases, and a greater variety of databases—from the ground to the cloud.

At the same time, businesses are hungry for greater performance, scalability, and flexibility to support next-generation applications and enable digital transformation.

DBTA held a special roundtable webinar featuring Alberto Sigismondi, principal product manager, Delphix; TH Herbert, CEO, Semarchy; and Lee Blum, director of product management, GigaSpaces Technologies, who discussed the latest technologies and strategies every database professional needs to know about today and for the future.

According to Gartner, “…modern data and analytics use cases need a portfolio of capabilities that cannot be fulfilled by existing, standalone products,” Herbet said. Right now there is an over-segmentation of data management capabilities. Separate disciplines and tools delay value and lead to project fatigue.

Enter the Intelligent Data Hub by Semarchy, Herbet said. The platform offers comprehensive data management in a single, modern, flexible, configurable, secure, agile, no-code platform.

A Data Hub cares for your most critical (master) data by harmonizing information across databases and facilitating collaboration and the delivery of data-driven solutions with clear business value, according to Herbert. The Intelligent Data Hub brings together information that lives across applications such that it can be governed, mastered and managed in a centrally understood, nondisruptive way.

Data architects face a variety of dilemmas these days, Blum explained. This includes dealing with millions of unique users, different data sources and formats, operational and analytical workloads, and more. A digital integration hub becomes critical for these issues.

Gartner defines the Digital Integration Hub (DIH) as “an advanced application architecture that aggregates multiple back-end systems of record data sources into a low-latency and scale-out, high-performance data store”

However, common DIH’s suffer from low performance, limited scalability, low agility, and not always being on, Blum said.

Gigaspaces instead offer a Data Grid that provides a cloud-native high throughput and low latency application fabric that empowers real-time event-driven microservices and distributed applications at high scale.

Sigismondi suggested building a comprehensive test data library in order to remove application testing/QA blockers.

This method eliminates data wait times to accelerate test cycles and enables DevTest to leverage destructive testing as needed, without fear in the waiting times.

Delphix offers a programmable data interface that lets users:

  • Automate data ingestion and refresh from multiple production sources
  • Automate data masking and manipulate test data based on user/group profiles
  • Provision instant virtual copies to allow bookmarking, refresh, destroy

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