The Enterprise Big Data Framework

The Enterprise Big Data Framework

The Enterprise Big Data Framework is a structured approach that considers six core capabilities that enterprises need to consider to obtain long-lasting value from Big Data. Rooted in the scientific domain, the Enterprise Big Data Framework provides fundamental knowledge and insights in the core components of Big Data.

The topics of the framework range from the technical components of setting up a Big Data architecture towards the soft skills required to set up a Big Data center of excellence. By taking a capabilities approach, enterprises can grow their competencies over time, firmly embedding the practice of Big Data into the enterprise.

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The Framework Consists of Six Critical Capabilities that Enterprises can build to extract value from Big Data

The Enterprise Big Data Framework is a set of guidelines and best practices for managing and leveraging big data within an organization. It provides a comprehensive approach to addressing the challenges and opportunities of big data. The framework includes guidelines for data governance, data management, data integration, data security, data privacy, and data analytics.

The framework is designed to help organizations make sense of the large and complex data sets that are being generated today and to turn that data into valuable insights that can be used to improve decision-making and drive business value. It is a flexible and adaptable framework that can be tailored to the specific needs of an organization.

Big Data Strategy

Data has become a strategic asset for most organizations. The capability to analyze large data sets and discern patterns in the data can provide organizations with a competitive advantage.

Big Data Architecture

In order to work with massive data sets, organizations should have the capabilities to store and process large quantities of data. In order to achieve this, the enterprise should have the underlying IT infrastructure to facilitate Big Data. Enterprises should therefore have a comprehensive Big Data.

Big Data Algorithms

A fundamental capability of working with data is to have a thorough understanding of statistics and algorithms. Big Data professionals need to have a solid background in statistics and algorithms to deduct insights from data. Algorithms are unambiguous, computerized, problem.

Big Data Processes

In order to make Big Data successful in an enterprise organization, it is necessary to consider more than just the skills and technology. Processes can help enterprises to focus their direction. Processes bring structure, measurable steps and can be effectively managed on a day-to-day basis.

Big Data Functions

Big Data functions are concerned with the organizational aspects of managing Big Data in enterprises. This element of the Big Data framework addresses how organizations can structure themselves to set up Big Data roles and discusses roles and responsibilities in Big Data organizations.

Artificial Intelligence

The last element of the Enterprise Big Data Framework addresses Artificial Intelligence (AI). One of the major areas of interest in the world today, AI provides a whole world of potential. In this part of the framework, we address the relation between Big Data and Artificial Intelligence.

Taiwan’s Telecom leader opts for a data-driven strategy supported by Enterprise Big Data Professional Training and Certification

“We have no shortage of engineers, but we do have a shortage of ways to combine the engineering skills and leverage them.”

Mr Lee

Director, Chunghwa Telecom

News - Chunghwa Telecom adopts Enterprise Big Data Framework

Download the Free Guides

The Enterprise Big Data Professional Guide is the official supporting book for the Enterprise Big Data Professional certification, and is made available free of charge.

The Enterprise Big Data Professional official guide provides an introduction to the core concepts and techniques of Big Data, and provides an overview of the capabilities that organizations need to develop to move towards data-driven decision making. By embedding Big Data capabilities, organizations can make faster and more reliable decisions and bring products faster to market.

Enterprise Big Data Professional Guide