Thursday, June 23, 2022

Forrester Wave™: Enterprise Data Fabric, Q2 2022

 Organizations want real-time, consistent, connected, and trusted data to support their critical business operations and insights. However, new data sources, slow data movement between platforms, rigid data transformation workflows and governance rules, expanding data volume, and distributed data across clouds and on-premises, can cause organizations to fail when executing their data strategy.

Data fabric delivers a unified, integrated, and intelligent end-to-end data platform to support new and emerging use cases. It automates all data management functions — including ingestion, transformation, orchestration, governance, security, preparation, quality, and curation — enabling insights and analytics to accelerate use cases quickly. - Forrester

A growing contingent of organizations are leveraging data fabric in the public cloud and hybrid cloud environments to support customer 360, business 360, fraud detection, IoT analytics, and real-time insights. As a result of these trends, enterprise data fabric customers should look for providers that:

- Accelerate use cases through built-in automation and intelligence

- Deliver cohesive, built-in, end-to-end data management capabilities

- Partner with professional services providers for complex deployments

Informatica, Oracle, IBM, Talend, Denodo and SAP are the leaders in "Forrester Wave™: Enterprise Data Fabric, Q2 2022"



Wednesday, June 22, 2022

Forrester Wave™: Enterprise Data Catalogs For DataOps, Q2 2022

 "Metadata management is not new, but it is one of the fastest evolving and critical components of a best-in-class and modern data platform. Cloud, decoupled architecture (compute, storage, and state), API architecture, federated and distributed data estates, and device-centric digital solutions demand deeper context, lineage, and automation from metadata." Forrester


According to the report(Forrester Wave™: Enterprise Data Catalogs For DataOps, Q2 2022), enterprise data catalogs are needed to understand and activate data in a DataOps environment. It states that customers should look for the following capabilities when evaluating solutions:

Addresses the diversity, granularity, and dynamic nature of data and metadata

Generates deep transparency of the nature and path of data flow and delivery

Delivers a UI/UX that reinforces modern DataOps and engineering best practices

Informatica, Data.World & Atlan are the leaders in "Forrester Wave™: Enterprise Data Catalogs For DataOps, Q2 2022"