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Synopsis
"Amundsen Data Discovery: Searchable Metadata for Analytics Teams"
Analytics organizations don’t struggle because they lack data—they struggle because they can’t reliably find, understand, and trust it fast enough to make decisions. This book is written for experienced analytics engineers, data platform engineers, and senior analysts who are tired of institutional memory and ad‑hoc Slack support as the primary “catalog.” It reframes discovery as an end-to-end systems problem and shows how Amundsen turns metadata into a durable interface for analytics work.
You’ll learn how to design a metadata contract that survives migrations, schema churn, and multi-environment realities; how Amundsen’s microservices (Frontend, Search, Metadata) interact; and why the metadata graph and Elasticsearch index each matter for different questions. The book dives deep into modeling invariants, idempotent update semantics, relevance tuning, and responsible use of popularity signals. A substantial implementation focus covers Databuilder ingestion pipelines, multi-source enrichment from warehouses and BI tools, and verification loops that pinpoint failures across extraction, publishing, indexing, and UI.
Expect production-grade guidance: Docker Compose for fast iteration, Kubernetes topology and scaling, and operational discipline for Neo4j and Elasticsearch as stateful dependencies. Prerequisites include comfort with distributed systems basics, data warehousing concepts, and running services in containers; in return, you’ll leave with a playbook for building a trusted discovery platform and an
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Amundsen Data Discovery (Paperback)
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Paperback. Condition: new. Paperback. "Amundsen Data Discovery: Searchable Metadata for Analytics Teams"Analytics organizations don't struggle because they lack data-they struggle because they can't reliably find, understand, and trust it fast enough to make decisions. This book is written for experienced analytics engineers, data platform engineers, and senior analysts who are tired of institutional memory and ad-hoc Slack support as the primary "catalog." It reframes discovery as an end-to-end systems problem and shows how Amundsen turns metadata into a durable interface for analytics work.You'll learn how to design a metadata contract that survives migrations, schema churn, and multi-environment realities; how Amundsen's microservices (Frontend, Search, Metadata) interact; and why the metadata graph and Elasticsearch index each matter for different questions. The book dives deep into modeling invariants, idempotent update semantics, relevance tuning, and responsible use of popularity signals. A substantial implementation focus covers Databuilder ingestion pipelines, multi-source enrichment from warehouses and BI tools, and verification loops that pinpoint failures across extraction, publishing, indexing, and UI.Expect production-grade guidance: Docker Compose for fast iteration, Kubernetes topology and scaling, and operational discipline for Neo4j and Elasticsearch as stateful dependencies. Prerequisites include comfort with distributed systems basics, data warehousing concepts, and running services in containers; in return, you'll leave with a playbook for building a trusted discovery platform and an This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798896653936
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Amundsen Data Discovery
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Amundsen Data Discovery: Searchable Metadata for Analytics Teams
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Amundsen Data Discovery
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Amundsen Data Discovery (Paperback)
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Paperback. Condition: new. Paperback. "Amundsen Data Discovery: Searchable Metadata for Analytics Teams"Analytics organizations don't struggle because they lack data-they struggle because they can't reliably find, understand, and trust it fast enough to make decisions. This book is written for experienced analytics engineers, data platform engineers, and senior analysts who are tired of institutional memory and ad-hoc Slack support as the primary "catalog." It reframes discovery as an end-to-end systems problem and shows how Amundsen turns metadata into a durable interface for analytics work.You'll learn how to design a metadata contract that survives migrations, schema churn, and multi-environment realities; how Amundsen's microservices (Frontend, Search, Metadata) interact; and why the metadata graph and Elasticsearch index each matter for different questions. The book dives deep into modeling invariants, idempotent update semantics, relevance tuning, and responsible use of popularity signals. A substantial implementation focus covers Databuilder ingestion pipelines, multi-source enrichment from warehouses and BI tools, and verification loops that pinpoint failures across extraction, publishing, indexing, and UI.Expect production-grade guidance: Docker Compose for fast iteration, Kubernetes topology and scaling, and operational discipline for Neo4j and Elasticsearch as stateful dependencies. Prerequisites include comfort with distributed systems basics, data warehousing concepts, and running services in containers; in return, you'll leave with a playbook for building a trusted discovery platform and an This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798896653936
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Amundsen Data Discovery : Searchable Metadata for Analytics Teams
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Amundsen Data Discovery: Searchable Metadata for Analytics Teams'Analytics organizations don't struggle because they lack data-they struggle because they can't reliably find, understand, and trust it fast enough to make decisions. This book is written for experienced analytics engineers, data platform engineers, and senior analysts who are tired of institutional memory and ad¿hoc Slack support as the primary 'catalog.' It reframes discovery as an end-to-end systems problem and shows how Amundsen turns metadata into a durable interface for analytics work.You'll learn how to design a metadata contract that survives migrations, schema churn, and multi-environment realities; how Amundsen's microservices (Frontend, Search, Metadata) interact; and why the metadata graph and Elasticsearch index each matter for different questions. The book dives deep into modeling invariants, idempotent update semantics, relevance tuning, and responsible use of popularity signals. A substantial implementation focus covers Databuilder ingestion pipelines, multi-source enrichment from warehouses and BI tools, and verification loops that pinpoint failures across extraction, publishing, indexing, and UI.Expect production-grade guidance: Docker Compose for fast iteration, Kubernetes topology and scaling, and operational discipline for Neo4j and Elasticsearch as stateful dependencies. Prerequisites include comfort with distributed systems basics, data warehousing concepts, and running services in containers; in return, you'll leave with a playbook for building a trusted discovery platform and an. Seller Inventory # 9798896653936
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Amundsen Data Discovery | Searchable Metadata for Analytics Teams
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Taschenbuch. Condition: Neu. Amundsen Data Discovery | Searchable Metadata for Analytics Teams | Trex Team | Taschenbuch | Englisch | 2026 | NobleTrex Press | EAN 9798896653936 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 138045327
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