Big Data Management

Is the process of collecting, organizing, and analyzing large and complex data sets, often referred to as big data

What is Big Data Management?

It’s the data that has the greatest diversity, and access to increasing volumes and most quickly. This is also known as the three V words. Simply put, big data are larger and more complex data sets, especially from new data sources. These data sets are so huge that traditional data processing software can't manage them. But these massive amounts of data can be used to tackle business problems that you couldn't handle before

DATA MANAGEMENT

How does big data work?

• Integration: Big data brings together many different sources and applications. Traditional data integration mechanisms such as Extract, Transform, and Load (ETL) generally fall short. New strategies and techniques are required to analyze large datasets on a large scale or even a petabyte in size

• Require management: Big data storage. The storage solution can be in the cloud, on premises, or both. You can store data in any format you want and deliver the required processing requirements and necessary process drivers to these datasets on an on-demand basis. Many people choose their storage solution according to where their data is currently located. The cloud is gradually gaining popularity as it supports today's computing requirements and enables you to scale up resources as needed

• Analysis: Your big data investment is realized when you analyze and work with your data. Gain new clarity with visual analysis of diverse data sets. Explore the data further to make new discoveries. Share your results with others. Create data models using machine learning and artificial intelligence. Put your data to work

How does big data work:

• Integration: Big data brings together many different sources and applications. Traditional data integration mechanisms such as Extract, Transform, and Load (ETL) generally fall short. New strategies and techniques are required to analyze large datasets on a large scale or even a petabyte in size.

• Require management: Big data storage. The storage solution can be in the cloud, on premises, or both. You can store data in any format you want and deliver the required processing requirements and necessary process drivers to these datasets on an on-demand basis. Many people choose their storage solution according to where their data is currently located. The cloud is gradually gaining popularity as it supports today's computing requirements and enables you to scale up resources as needed.

• Analysis: Your big data investment is realized when you analyze and work with your data. Gain new clarity with visual analysis of diverse data sets. Explore the data further to make new discoveries. Share your results with others. Create data models using machine learning and artificial intelligence. Put your data to work.

Big data best practices

Align big data with specific business goals

Mitigating skills shortages using standards and management

Improving knowledge transfer through the Center of Excellence

The highest repayment percentage is aligned with the composite data

Achieve the discovery lab to achieve performance

Compatibility with the cloud operating model

How can Nozom help you on your PCI DSS compliance journey?

Define the scope of the standard within the organization, and provide support in reading and applying the requirements of the standard.

Perform a gap analysis, evaluating the organization's current compliance status with PCI DSS requirements.

Conducting awareness sessions and training programs for work teams and employees.

Create and document policies and procedures in accordance with PCI DSS.

Risk assessment and treatment.