BigData Boutique

Your Partners in making Data & AI work for you.

Expert Consulting. Developer Support. Production Optimization.

[BigData Boutique @BigdataBoutique]

What works for us: migrate the workloads that hurt most first, run old and new side by side, cut over when the numbers match. And delete the jobs nobody uses instead of migrating them. What legacy system does your plan keep routing around? https://t.co/DmAQEthojb

[BigData Boutique @BigdataBoutique]

Data modernization rarely stalls on the target architecture. It stalls on the path there: the cron jobs, the Hadoop cluster nobody wants to touch, the ETL written by someone who left years ago.

[BigData Boutique @BigdataBoutique]

Our AI DBA @NeverBlinkAI now supports @ClickHouseDB: Cloud, self-hosted, and Kubernetes. Merge backlogs, stalled TTLs, materialized views dropping data: ClickHouse fails quietly and nobody gets paged. NeverBlink catches it while it's still a warning, fix attached. #ClickHouse

https://t.co/Xrk8Lt8ZNH

[BigData Boutique @BigdataBoutique]

Our AI DBA @NeverBlinkAI now supports @ClickHouseDB: Cloud, self-hosted, and Kubernetes. Merge backlogs, stalled TTLs, materialized views dropping data: ClickHouse fails quietly and nobody gets paged. NeverBlink catches it while it's still a warning, fix attached. #ClickHouse

https://t.co/Xrk8Lt8ZNH

[BigData Boutique @BigdataBoutique]

@pvyyu42928466 Thank you , appreciate it! You are welcome to try out https://t.co/PWuAMMSUMj too, it can automate a lot of it for you

[BigData Boutique @BigdataBoutique]

ClickHouse Power Tips - Too Many Parts, Schema Optimizations, Query Analytics, When to Partition, Understanding MergeTree, Monitoring, and more. Check out our blog series!

[DevOps.com @devopsdotcom]

Still using Apache Solr?

Join @BigdataBoutique experts tomorrow to learn what it takes to successfully migrate to Amazon OpenSearch Service and support modern AI-powered search.

🎟️ Register: https://t.co/3L7p8GdWif

#OpenSearch #AWS #Search

[BigData Boutique @BigdataBoutique]

New on our blog: Hybrid Search Explained. How to combine keyword and vector retrieval, score fusion methods compared, and when a re-ranker is worth the latency cost.

https://t.co/xxPVQFs7D2

[BigData Boutique @BigdataBoutique]

New on our blog: Hybrid Search Explained. How to combine BM25 and vector retrieval, normalize scores, and pick the right fusion strategy for your use case.

https://t.co/xxPVQFs7D2 #HybridSearch

[BigData Boutique @BigdataBoutique]

New on our blog: Hybrid Search Explained. How to combine BM25 and vector retrieval, normalize scores, and pick the right fusion strategy for your use case.

https://t.co/xxPVQFs7D2 #HybridSearch

[BigData Boutique @BigdataBoutique]

New customer story: EverC cut Spark platform costs by migrating to EMR on EKS — reusing existing Kubernetes capacity instead of paying for a dedicated Spark estate. https://t.co/SuK1C6Apd5

[BigData Boutique @BigdataBoutique]

Zero-downtime ECS deployments + Postgres migrations: how to use ECR events, EventBridge, and Step Functions so service updates only happen after migrations complete. Digest pinning matters:

https://t.co/7CzIvgyY9a

[BigData Boutique @BigdataBoutique]

LLM observability tools compared:

— LangSmith (proprietary, LangChain-optimized)
— Langfuse (now ClickHouse-backed after the January acquisition)
— Opik (Apache 2.0 from Comet)

Pricing, architecture, when to self-host:
https://t.co/GtOGUyWFjQ

[BigData Boutique @BigdataBoutique]

Multimodal RAG in 2026: three production architectures compared.

— Caption-and-index
— Unified vision embeddings (Cohere Embed 4, voyage-multimodal-3.5)
— Page-as-image with ColPali / ColQwen2.5

Storage and cost scale by an order of magnitude — here's how to pick:
https://t.co/XIGL3v9xx6

[BigData Boutique @BigdataBoutique]

@pdlug exactly

[BigData Boutique @BigdataBoutique]

S3 Vectors + OpenSearch: trade higher latency (P50 ~50-120ms vs 5-20ms with HNSW) for ~90% lower vector storage costs.

Right call for agentic RAG. Wrong call for interactive search. Setup, limits, and tiered patterns inside:

https://t.co/GDVatjKmzg

[BigData Boutique @BigdataBoutique]

The KFC architecture (#ApacheKafka, #ApacheFlink, @ClickHouseDB) is gaining traction as a go-to pattern for real-time analytical workloads. Worth a read if you're designing streaming data pipelines and wonder whether or not you should use #ApacheFlink.

https://t.co/qCZpXPk5Wm

[BigData Boutique @BigdataBoutique]

Case study: EverC moved Spark workloads from managed services to EMR on EKS — keeping the analyst workflow intact via EMR Studio while cutting platform premium. Architecture and migration notes:

https://t.co/SuK1C6Apd5

[BigData Boutique @BigdataBoutique]

30+ copy-paste OpenSearch PPL queries for logs, metrics, and traces.

Covers search, stats, eval, joins, and the new mv* commands in OpenSearch 3.5. Calcite handles predicate pushdown automatically.

Save this one for the next investigation:
https://t.co/R2NB3UPTLQ

[BigData Boutique @BigdataBoutique]

How Digipal went from concept to a customer-facing IoT asset tracking product on AWS — and why hardware-agnostic ingestion turned out to be a commercial moat, not a technical detail: https://t.co/3kbhQ0HJQl

[BigData Boutique @BigdataBoutique]

New on our blog: stemming in Elasticsearch and OpenSearch hybrid search. Default analyzer settings that worked for pure BM25 may not be optimal when vector retrieval is in the pipeline.

https://t.co/KSDI3FYf8d