Level: Beginner to Intermediate
Prerequisite: None
Pradeep Karpur
Partner
Technology Consulting - Data and Analytics (EY)
The need to understand and integrate the holistic data landscape is more dire than ever as data-driven decision-making spreads through businesses. Many organizations are looking at data fabric as the solution to this challenge. Data fabric weaves together a seamless data architecture, effortlessly bridging the gap between scattered data sources. It streamlines access and governance, while maintaining uniformity and fortifying security across your entire data realm.
In this course you will learn about the case for a data fabric, when it makes sense to adopt this architecture, how to implement the data fabric architecture, and the implications of a data fabric model for people, processes, and technology.
You Will Learn
- Establishing a unified data environment that integrates diverse data management processes and accommodates a wide range of data types, including structured data from relational databases, semistructured data such as JSON or XML, and unstructured data like text, images, and videos
- Incorporation of robust data governance policies and compliance mechanisms, such as role-based access control, data encryption, and auditing capabilities, to ensure data privacy, security, and quality across the entire data landscape
- Enablement of self-service data access through intuitive user interfaces and API-driven interactions
- Support for real-time data processing capabilities through event-driven architectures
- Automating orchestration of movement and transformation of data across various environments
- Achieving scalability and flexibility with a data fabric architecture
Geared To
- Data architects and engineers responsible for designing and building data systems will learn how the data fabric methodology can guide the creation of more scalable, flexible, and accessible data platforms.
- Data scientists and analysts who work with data to extract insights and build predictive models will benefit from how data fabric can improve data discoverability, access, and quality.
- IT and data operations teams who are responsible for the maintenance and operation of data systems will learn about new paradigms for managing data infrastructure at scale.
- Architects will benefit from understanding how data fabric fits into the larger picture of enterprise architecture and how it can help break down data silos.
- Data stewards and curators responsible for the quality and usability of data will learn how data fabric enables it.
- Data governance and compliance officers involved in ensuring that data is managed in a compliant and ethical manner will learn how decentralized governance can help.