End-to-end development covering both frontend and backend technologies.
Indexes are data structures that speed up queries by allowing the database to find rows without scanning the entire table, but they slow down writes.
SQL databases excel at complex queries and ACID transactions; NoSQL databases offer flexibility and horizontal scaling for specific data models.
Use multipart form data for uploads, stream large files to object storage like S3, validate file types server-side, and provide upload progress feedback.
Start with database LIKE queries, graduate to full-text search built into your database, or use dedicated search engines like Elasticsearch or Typesense.
Use job queues like BullMQ or SQS for background processing, cron syntax for scheduling, and ensure jobs are idempotent and retriable.
WebSockets provide bidirectional communication, Server-Sent Events work for server-to-client updates, or use services like Pusher or Supabase Realtime.
Scalable schema design involves proper normalization, strategic denormalization, indexing, partitioning, and planning for horizontal scaling.
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