تخطي إلى المحتوى الرئيسي
Microsoft
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Empower: Analytics as a Service

بواسطة Hitachi Solutions

Empower is Hitachi Solutions' answer to deliver a top-class modern data estate without the cost and time required for a bespoke custom implementation.

Hitachi's Empower managed service platform brings a full-featured Modern Data Estate to customers in week one. With our managed services team, customers benefit from Hitachi's Generation 3 Data Acquisition and Mapping tools, which provide full management of standard Azure Data Services. These tools, offered exclusively with this managed service, provide a better way to build and grow a modern data estate. While your teams focus on mapping data into data models with our team, Hitachi keeps the core data pipeline running with a 24/7 NOC/SOC and advanced fleet management tools. Moreover, as a subscription model, customers can skip six or even seven-figure expenditures to getting started in Synapse/ADF/ADB at scale.

This solutions benefits:
  • C-suite and operations teams that want to build out operational reports and analytics quickly and cost-effectively,
  • IT VP's and Architects who desire to focus on value-added modeling/informational tasks, and not core data engineering requirements,
  • existing data engineering teams that want to streamline their jobs and processes with automation and APIs.


This solution solves the general problems with traditional modern data estate implementations which include:
  1. Significant capital expense ($500K+)
  2. Long timeline to production
  3. Lack of skillsets to manage the data estate
  4. Long requirements gathering with end-users
  5. Understanding complexities with modern data estates


Azure Components Active in the Solution:
  • Azure Data Factory
  • Azure Synapse
  • Azure Databricks
  • Azure Data Lake Gen 2
  • Azure Key Vault
  • SQL PaaS
  • Azure Monitor
  • Azure Networking
  • Azure Kubernetes Service

لمحة سريعة

https://store-images.s-microsoft.com/image/apps.20530.0ffebb20-a492-4e2a-af7a-e986737d53a1.b323daa7-7596-4684-89c4-4f99e853dd16.9fb7d2b1-b15e-4dfa-b2d0-898878631cd8
العربية (المملكة العربية السعودية)
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