- Tanácsadási szolgáltatások
Data Platform Modernization: 10 Wk POC
Accelerate your journey to become a data driven organization
The world is awash with data. However, companies struggle to extract value from it. Their data is trapped in siloed and legacy systems; they lack specific skill sets to harvest this data for driving business outcomes and finally; there are limited security, privacy, and governance standards to establish safe and effective data sharing.
Our Data Platform Modernization Proof of Value engagement unchains you from these challenges and provides you a path to enable safe and secure access to data sets, empowering business users to unlock the next big opportunities for the company on Microsoft’s Modern Data Platform. Through a proven delivery methodology, our certified experts will help you envision how you can unlock significant value and simplify processes throughout the data pipeline, right from ingestion to publishing data sets.
Our Approach • Strategic Assessment - Clarify the vision and business objectives, define a strategic modernization plan, and define the final cloud destination in Azure • Ingestion - Deploy the modern data platform and establish connection with data sources • Storage - Designed for large-scale, cloud-based data (structured and unstructured) to fit the needs and requirements for data consumption • Modeling - Review requirements and transform data • Analytics - Increase data access and usability with visualization and apps • Publishing - Create deployment pipelines leveraging automation
Offering Objectives • Build of an Enterprise-Scale Modern Data Platform on Azure using Datalance, our Enterprise Data Solution Accelerator • Workshop about key features and services in the solution, including the use of App Service Migration Assistant and Data Migration Assistant from Azure Migrate • Connect 1 or 2 source systems and apply some business transformation and visualize the data • Assessment of existing environment and recommendations for platform backlog • Create a vision to harvest and scale the Azure-based data platform