The Database Safari
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39,99 €
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The Database Safari, Apress
Exploring Vector, Time-Series, Graph, Columnar/OLAP, and Geospatial Databases in the Wild
Von Gabor Koos, im heise shop in digitaler Fassung erhältlich
Produktinformationen "The Database Safari"
Pack your field kit—this is a guided safari through today’s database
ecosystem. In the wild, one size rarely fits all: Modern systems often need
specialized databases to deliver real‑world performance and scale. This book is
a practical field guide to those less commonly used databases—vector,
time‑series, graph, columnar/OLAP, geospatial, event‑stream, and more. It shows
you how each engine works, where it excels, and how to choose the right engine
for each workload. The book provides clear trade‑off tables, indexing
strategies, query patterns, and use‑case recipes you can apply immediately.
Starting with foundations in SQL and NoSQL, this book explores each
“species” chapter by chapter, emphasizing hands‑on scenarios and
pitfalls to avoid. It then brings everything together in polyglot/hybrid
architectures, helping you combine engines confidently, whether you’re
designing a similarity search with vector databases (ANN), building
observability pipelines on time‑series data and event logs, modeling
relationships in graph databases, or delivering analytics with columnar/OLAP and
geospatial queries. The result is a concise, engineer‑first map of the database
landscape that turns theory into pragmatic decision‑making.
What You Will Learn
- Identify the right engine for the job across vector, time‑series, graph, columnar/OLAP, geospatial, and event‑stream databases
- Evaluate trade‑offs in performance, scalability, consistency, storage layout, indexing, and operational complexity
- Design polyglot architectures that combine multiple engines (e.g., vector + OLAP + event‑stream) for end‑to‑end solutions
- Apply use‑case patterns for similarity search (ANN), observability metrics, fraud/network analysis, geospatial routing, and analytical reporting
- Understand core internals that matter (index types, retention policies, log‑structured storage, spatial indexes, columnar execution) without vendor lock‑in
- Avoid common pitfalls in schema design, query planning, and cross‑engine data movement
- Build a decision checklist and trade‑off tables to justify engine selection to stakeholders
Artikel-Details
- Anbieter:
- Apress
- Autor:
- Gabor Koos
- Artikelnummer:
- 9798868827099
- Veröffentlicht:
- 25.09.26
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