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Qa Testing Modern ETL Testing with AI: SQL, Python & AI for Real-World Data Validation, Book 4, (Paperback)
Item #: 256947736

Qa Testing Modern ETL Testing with AI: SQL, Python & AI for Real-World Data Validation, Book 4, (Paperback)

Item #: 256947736

MAD 332

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Shop Qa Testing Modern ETL Testing with AI: SQL, Python & AI for Real-World Data Validation, Book 4, (Paperback) online at a best price in Morocco. 20407919911
  • Modern ETL Testing with AISQL, Python & AI for Real-World Data ValidationModern ETL Testing Series - Volume 1Want to build practical ETL testing skills using SQL, Python, and AI?Whether you're starting your ETL testing journey, moving from manual QA into data testing, or looking to automate repetitive validation tasks, Modern ETL Testing with AI - Volume 1 provides a practical path from fundamentals to real-world ETL validation.Rather than focusing only on theory, this book explains how ETL testers approach common data-quality problems: validating source and target data, identifying missing or duplicate records, verifying transformations, reconciling datasets, automating checks with Python, and using AI as a testing assistant.What You'll LearnETL Testing FundamentalsETL architecture and data flowSource-to-target validationData quality and transformation testingCommon ETL testing scenariosSQL for ETL TestingSELECT, WHERE, GROUP BY and ORDER BYINNER, LEFT, RIGHT and FULL OUTER JOINsAggregations and reconciliationNULL and duplicate validationTransformation and business-rule validationSource-to-target comparisonsPython for ETL Testingpandas-based data validationDatabase connectivityAutomated comparison scriptsValidation functions and PASS/FAIL reportingData Warehouse TestingFact and dimension tablesStar schemaSlowly Changing Dimensions (SCD)Historical data validationReal-World ETL ValidationRow-count and NULL validationDuplicate detectionAggregate validationData-type and format checksTransformation validationSource-to-target reconciliationIncremental and business-rule validationAI-Assisted ETL TestingGenerate SQL validation queriesCreate Python testing scriptsGenerate test casesInvestigate validation failuresUse AI responsibly while validating its outputThe book treats AI as an assistant and productivity accelerator-not a replacement for testing judgment.Modern Da
Publication dateJune, 2026
AuthorMasud Mondal
Book formatPaperback
GenreComputing & Internet
Pages140
Age groupAdult
Series titleQa Testing
Fiction/nonfictionNon-Fiction
PublisherAmazon Digital Services LLC - Kdp
SubgenreData Science
Original languagesEnglish
Number in series4
Recording time0 min
Is collectibleN
Bisac subject headingComputers
Edition1
LanguageEnglish
Pub date2026-06-16
Item Weight1 lbs (450 grams)

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