Technology Capabilities
Technology CapabilitiesDigital twin technology is one of the fastest growing concepts of Industry 4.0. In the ...
In this post, we’re going to walkthrough some of the remaining post configuration tasks...
GlobalLogic provides unique experience and expertise at the intersection of data, design, and engineering.
Get in touch“True happiness comes only by making others happy.” – David O. McKay
Taking a lead from the quote above, a data platform can be truly happy if it can make others happy. “Others” in this context would be the actors/teams with whom the data platform interacts. Below are the key actors that typically have interactions with the data platform:
This blog identifies the common expectations that Data Engineers and Data Consumers have for a data platform, and it demonstrates how to meet these expectations. DataOps and Data Governance are also extremely important aspects of a comprehensive, end-to-end data platform, so we will cover the perspectives of DataOps Engineers and Data Stewards & Admins in Part II of this blog series.
Data Engineers typically expect the following from a data platform:
Data consumers typically expect the following from a data platform:
“Efforts and courage are not enough without purpose and direction.” – John F. Kennedy
Below is a traditional, technology-driven approach:
However, there are few issues with this approach:
Below is an approach driven by business needs:
While a DataOps mindset is a complete topic unto itself, it is worth mentioning on a high level that it is important to bring a DevOps and Agile approach to a data project. DataOps encompasses all aspects, including infrastructure management, services setup and management, environment setup, access management of data and components, quality, security and compliance, deployments, version control, and monitoring.
Paying attention to the high-level team setup also enables you to clearly separate team concerns:
The objective of a data platform is to eventually enable purposeful, actionable insights that can lead to business outcomes. Additionally, if the data platform puts the right emphasis on the journey and process (i.e., how it can make the job easier for its key actors while delivering the prioritized projects), then it will deliver an ecosystem that is fit for purpose, minimize waste, and enable a “reuse” mindset.
At GlobalLogic, we are continuously improving our Data Platform Accelerator, which is based on a similar approach. This digital accelerator enables enterprises to immediately manifest a solution that can gather, transform, and enrich data from across their organization. We are excited to work with our clients to accelerate their data journeys, and we would be happy to discuss your own needs through the below contact form.