{"product_id":"apache-beam-yaml-low-code-data-pipelines-for-batch-and-streaming-build-etl-workflows-without-programming-using-declarative-configuration-runners-a-9798247874836","title":"Apache Beam Yaml: LOW-CODE DATA PIPELINES FOR BATCH AND STREAMING: Build ETL Workflows Without Programming Using Declarative Configuration, Runners, a","description":"\u003cp\u003e • Author(s): Eamon Johnson\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Data Science - Data Warehousing\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBuild real batch and streaming data pipelines using Apache Beam YAML, with declarative configuration you can run across runners and environments.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMany teams want reliable ETL workflows without turning every change into a programming project, but they still need correctness, portability, testing, and operational discipline. Beam YAML gives you a low-code way to define pipeline graphs, transforms, and runner options in a format that fits reviewable config and repeatable delivery.\u003c\/p\u003e\u003cp\u003eThis book shows you how to go from a first working YAML pipeline to production-ready patterns, including schemas as contracts, ingestion and transformation building blocks, joins and aggregations that stay correct, and the streaming fundamentals that protect you from late data surprises and runaway state.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ewrite your first batch pipeline in yaml, run it locally, and verify outputs\u003c\/li\u003e\n\u003cli\u003euse everyday yaml patterns for mapping filtering branching merging and parameterization\u003c\/li\u003e\n\u003cli\u003etreat schemas as contracts, control inference, declare output schemas, handle drift and nulls\u003c\/li\u003e\n\u003cli\u003eapply ingestion patterns for files events databases and warehouses, normalize inputs into a canonical schema\u003c\/li\u003e\n\u003cli\u003ebuild practical transformation graphs, enrichment lookups deduplication and quality gates\u003c\/li\u003e\n\u003cli\u003edesign joins with strong key strategy, use sql in yaml where it is the right boundary, prevent skew driven failures\u003c\/li\u003e\n\u003cli\u003ecreate correct aggregations, avoid accidental fanout, validate results with reconciliation checks\u003c\/li\u003e\n\u003cli\u003emaster streaming basics, event time watermarks windows triggers and allowed lateness\u003c\/li\u003e\n\u003cli\u003eimplement reliability patterns, error outputs dead letter handling and safe reprocessing workflows\u003c\/li\u003e\n\u003cli\u003etest yaml pipelines with deterministic fixtures, contract tests, and ci gates to prevent regressions\u003c\/li\u003e\n\u003cli\u003etune for performance and cost, diagnose fusion reshuffles skew and hot keys, manage state growth\u003c\/li\u003e\n\u003cli\u003erun on different runners, package dependencies for repeatable builds, validate portability with a runner matrix\u003c\/li\u003e\n\u003cli\u003eextend beam yaml with providers, catalogs, composite transforms, and cross language expansion services\u003c\/li\u003e\n\u003cli\u003edeliver to production with configuration separation orchestration observability and safe release practices\u003c\/li\u003e\n\u003cli\u003euse end to end reference pipelines for batch streaming and hybrid designs you can adapt\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis guide includes working yaml pipeline examples and runner command patterns so you can move from configuration to running jobs, not just diagrams.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGrab your copy today and start shipping low-code Beam pipelines you can trust.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47569903222935,"sku":"9798247874836","price":3351.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798247874836.webp?v=1774879566","url":"https:\/\/atlanticbooks.com\/products\/apache-beam-yaml-low-code-data-pipelines-for-batch-and-streaming-build-etl-workflows-without-programming-using-declarative-configuration-runners-a-9798247874836","provider":"Atlantic Books","version":"1.0","type":"link"}