Enhancing Query Performance: Leveraging In-Memory Optimized Dates in Oracle 23ai

In-Memory Column Store

Unlike traditional row-based storage, The In-Memory Column Store (IM column store) stores tables and partitions in memory using a columnar format optimized for rapid scans. This columnar format is optimized for analytical workloads, allowing for efficient scanning of specific columns without needing to read entire rows. 

In-Memory Optimized Dates

To enhance the performance of DATE-based queries DATE components (i.e. DAY, MONTH, YEAR) can be extracted and populated in the IM column store leveraging the In-Memory Expressions framework. This approach enables faster query processing on DATE columns, significantly improving the performance of date-based analytic queries.

DBSAT Security Series – Part 2: Identifying Sensitive Data Using DBSAT Discover

Introduction

DBSAT Discover is a standalone, Java-based component of the Database Security Assessment Tool that identifies sensitive data within your database. Unlike the Collector and Reporter, Discover works independently and focuses on scanning tables and columns for patterns that match PII, financial, or other confidential information. Building on the foundation covered in Part 1 of this series, EnhancingQuery Performance: Leveraging In-Memory Optimized Dates in Oracle 23ai, where we explored configuring and using the main DBSAT tool, Discover, helps you take the next step by revealing exactly where sensitive data resides, so you can strengthen your overall security posture.

DBSAT Security Series – Part 1: Configuration and Reporting with DBSAT

Oracle Database Security Assessment Tool (DBSAT) is a popular command-line tool that helps identify areas where your database configuration, operation, or implementation introduces risks and recommends changes and controls to mitigate those risks. This tool is essential for database administrators and security professionals who want to ensure their Oracle environments are protected against both internal and external threats.