Data Indexing Governance

The technique of creating a data index, a data structure that improves the speed of data retrieval operations on a table at the cost of additional space and decreased performance on data modification operations

What is the data indexing governance solutions

Indexing is a data structure technology that allows you to quickly retrieve records from a database file. The index is a small table with only two columns, the first column consists of a copy of the primary key or candidate for the table, and its second column contains a set of pointers to retain the address of the opportunity block where the specified key value is stored

DATA MANAGEMENT

PCI DSS Certification Methodology:

When the customer enters the credit card information, the credit card is required by the customer and deposited into the sellers account. And here comes the role of the PCI DSS standard by making sure that this data is sent securely and encrypted over the Internet, and that restrictions are imposed on it; To avoid spying, theft and use of all communication points, whether computers, mobile devices, servers, internet line and other applications in the network.

Data indexing advantages that helps you to achieve better business performance

Improves organization of data information

Implementation of digitization

Reduce storage space

Better processing and better recovery

Enhances database presence

Less chance of data loss

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.

Design the necessary technical solutions Conducting an internal audit.

The methodology of data indexing solution

Assessment and Planning

Data Analysis understand the nature of the data within the organization. Identify which datasets require indexing based on their usage patterns and importance

Indexing Policies and Strategies

• Policy Development: Develop policies governing when and how indexes should be created, modified, and removed. Include criteria such as data types, query frequencies, and business relevance
• Strategy Design: Create indexing strategies based on the analysis of common query patterns. Consider different types of indexes like B-tree, hash, full-text, or spatial indexes depending on the data and query requirements

Implementation

Tool Selection choose appropriate indexing tools and technologies that align with the organization's database management system (DBMS). Different DBMS might have specific indexing tools or built-in capabilities

Monitoring and Performance Analysis

Performance Monitoring regularly monitor the performance of queries that utilize indexes. Identify bottlenecks and areas for improvement

Security and Compliance

Access Control implement access control mechanisms to ensure that only authorized personnel can create, modify, or remove indexes

Documentation and Metadata Management

Data Lineage document the data lineage associated with each index. Maintain records indicating the source and purpose of indexed data