Name: The Database Safari
SKU: 197343777
Price: 72000 KRW
Availability: InStock
Author: Gabor Koos
ISBN: 9798868827082

카트

이미지 검색을 사용해 보세요

검색창 이전화면 이전화면

최근 검색어: 전체삭제

인기 검색어

닫기

사이즈비교 공유하기

소득공제 수입

직수입양서 The Database Safari

Exploring Vector, Time?Series, Graph, Columnar/OLAP, and Geospatial Databases in the Wild Perfect,eng, POD 주문제작도서

바인딩/에디션 안내

Gabor Koos

Springer Nature B.V. 2026.09.30.

회원리뷰 첫번째 리뷰어가 되어주세요

직수입외서는 변심/착오로 인해 주문을 취소할 경우 해외주문 취소수수료 20%가 부과됩니다.?

가격: 72,000원

72,000

YES포인트?: 2,160원 (3%) 마니아추가적립

5만원 이상 구매 시 2천원 추가 적립

앱 다운 시 1천원 상품권

결제혜택: 최대 6만원 캐시백

주문 제작 (POD) 도서로 제본 및 인쇄 품질이 다소 미흡할 수 있습니다 (해당 사유 반품 불가)

이미 소장하고 있다면 판매해 보세요.

예스24에 팔기 바이백 신청 불가 내 가게에서 팔기

국내배송만 가능
해외 거래처 사정에 의하여 품절/지연 가능
도서 정보 중 미표기 사항 안내?
문화비소득공제 가능

시리즈 태그 업체 공지사항 중고직수입양서 소개 구성 소개 특별 구성 MD 한마디 카드뉴스 상세 이미지 책소개 관련 동영상 목차 저자 소개 관련분류 품목정보 만든이 코멘트 예스24 리뷰 책 속으로 줄거리 캐스팅 관련 자료 부가 영상 출판사 리뷰 전문가 리뷰 추천평

펼치기/닫기

책소개

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 <ul style="list-style-type: disc;"> <li>Identify the right engine for the job across vector, time?series, graph, columnar/OLAP, geospatial, and event?stream databases</li> <li>Evaluate trade?offs in performance, scalability, consistency, storage layout, indexing, and operational complexity</li> <li>Design polyglot architectures that combine multiple engines (e.g., vector + OLAP + event?stream) for end?to?end solutions</li> <li>Apply use?case patterns for similarity search (ANN), observability metrics, fraud/network analysis, geospatial routing, and analytical reporting</li> <li>Understand core internals that matter (index types, retention policies, log?structured storage, spatial indexes, columnar execution) without vendor lock?in</li> <li>Avoid common pitfalls in schema design, query planning, and cross?engine data movement</li> <li>Build a decision checklist and trade?off tables to justify engine selection to stakeholders</li> </ul> Who This Book Is For Software engineers; back-end developers; data engineers; system architects; site reliability engineers (SREs); technical leads with basic SQL/NoSQL experience who need practical guidance to select, compare, and combine specialized databases for real?world applications

책소개 더보기펼치기