The 6 Critical Roles of Data Engineering for Your Business​

1. The 6 Critical Roles of Data Engineering for Your Business By - Marktine

2. The 6 Critical Roles of Data Engineering:

3. Foundation Architects Before data science strategies like AI, deep learning, and experimentation can be carried out, data engineers lay the groundwork for data collection, moving, storage, exploration and transformation. 

4. Data Integrators The enterprise relies more and more on SaaS platforms, but providers may not offer the services or expertise that results in a smooth integration into a corporation’s data warehouse.

5. Service Providers Often data engineers provide services and tools that automate typically manual tasks. For example, they can automate data ingestion, metric computation, metadata management, A/B testing, and more to make the work of other enterprise functions easier.

6. Governance Validators Data warehousing has become a collaborative public enterprise in recent years, with data scientists, researchers, and software engineers contributing to its development, daily operations, and evolution. 

7. Business Analysts Although the role of data engineering is growing, it can still include business intelligence tasks such as creating and running portfolios and dashboards. They can also serve as a useful bridge between the business and data science departments, 

8. Performance Tuners The company is investing more in data infrastructure than ever before, giving data engineers the motivation and resources to focus on optimizing performance. Their efforts should try to do more with less.

9. Thank You This role more directly serves the needs of business users needing help collecting and analyzing huge volumes and varieties of data. If you need help in collecting and analyzing data for your business. Visit Marktine, which provides data engineering services in India and helps you.  For more information visit @ marktine.com/data-engineering-services/