This chapter explores critical advancements in Oracle Database 23AI designed to accelerate high-speed data ingestion and elevate in-memory processing performance. As modern applications increasingly rely on real-time analytics and low-latency processing—especially in data-heavy environments like IoT, ecommerce, and financial systems—Oracle 23AI introduces specialized features to meet these demands. The chapter focuses on three key enhancements: the improved Fast Ingest mechanism, Staging Tables for ultra-fast ETL operations, and revolutionary updates to In-Memory processing that streamline memory use and accelerate analytical queries. Real-world case studies illustrate how these innovations solve common data throughput and latency issues. Each section includes practical implementation steps, performance comparisons with earlier versions, and insights into the internal architecture powering these enhancements. Business relevance is clearly outlined, and common developer and DBA questions are answered to aid adoption. Each topic concludes with a concise summary to reinforce learning and guide future exploration.