Demystifying Real-time Analytics, Search and Hybrid Search with Dhruba, CTO @Rockset from The GeekNarrator

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Kaivalya Apte

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Demystifying Real-time Analytics, Search and Hybrid Search with Dhruba, CTO @Rockset

1 hour 14 minutes Posted May 17, 2024 at 7:45 pm.

Introduction

The Evolution of Data Systems: From Hadoop to Rockset

Understanding Rockset: Real-Time Analytics and Search Defined

The Technical Edge: Rockset vs. Elasticsearch

Deep Dive into Rockset's Architecture and Internals

Partitioning, Hashing, and Data Distribution in Rockset

Exploring Hot Storage and Cache Layers

Why Hot Storage is Essential for Low Latency

Optimizing Data Storage with Compression and Delta Encoding

Balancing Cost and Performance in Data Storage

The Power of Converged Indexing in Rockset

Efficient Query Execution and Index Management

Leveraging Mutability for Real-Time Analytics

Deep Dive into Query Processing and Optimization

Understanding Joins and Reporting Queries in Rockset

Future Directions and Vector Search Innovations

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In this video, I talk to Dhruba, CTO @Rockset about search and realtime analytics. We discussed deep internals of Rockset, its architecture and why is it a great fit for search and realtime analytics use cases.

Chapters:

Index Conference: https://rockset.com/index-conf/

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