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IT: Data Engineering & Analytics

Inside the Database: Indexes, Locks and Replication

Database Internals & Administration: leave with a lock-contention diagnosis, replication setup notes and a verified backup-restore runbook.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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TechlyUpIT: DATA ENGINEERING & ANALYTICSInside theDatabase:Indexes, Locksand ReplicationFREE WEBINAR TOPIC · VOTE

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1Why database internals & administration matters — the common problem: Production databases stall on locks and backups have never actually been restored.
  2. 2Core concepts in plain language: Storage engines, B-trees, log-structured merge trees, write-ahead logging, multiversion concurrency control, query planning
  3. 3Going further: locking, replication, partitioning, sharding, backup, recovery
  4. 4Framework walkthrough: Normalization, Dimensional Modeling, ELT Pipelines, Data Quality Dimensions
  5. 5Practical workflow, built live: A lock-contention diagnosis, replication setup notes and a verified backup-restore runbook.
  6. 6How to measure it: Query latency, Pipeline freshness, Data-quality check pass rate, Failed job rate
  7. 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation

Who it's for

  • • Students and freshers entering tech
  • • Working developers and engineers
  • • Tech leads and architects

You'd leave with

  • A lock-contention diagnosis, replication setup notes and a verified backup-restore runbook.
  • A working understanding of Normalization and Dimensional Modeling
  • A short list of measures to track: Query latency, Pipeline freshness, Data-quality check pass rate