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Tonya Chernyshova – författare

Visar alla böcker från författaren Tonya Chernyshova. Handla med fri frakt och snabb leverans.

3 produkter

  1. Xenia Ireton, Dmitry Anoshin, Tonya Chernyshova, Dmitry Foshin - Azure Data Factory Cookbook, E-bok. Tillgänglighet: Lägg i varukorg

    Azure Data Factory Cookbook

    A data engineer''s guide to building and managing ETL and ELT pipelines with data integration

    Av Xenia Ireton, Dmitry Anoshin m. fl.

    E-bok, 2024

    551 kr

    Lägg i varukorg

    Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data Factory Key Features Learn how to load and transform data from various sources, both on-premises and on cloud Use Azure Data Factory’s visual environment to build and …

  2. Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton - Azure Data Factory Cookbook, Häftad. Tillgänglighet: Lägg i varukorg

    Azure Data Factory Cookbook

    Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks

    Av Dmitry Foshin, Tonya Chernyshova m. fl.

    Häftad, 2024

    754 kr

    Lägg i varukorg

    Data Engineers guide to solve real-world problems encountered while building and transforming data pipelines using Azure's data integration toolKey FeaturesSolve real-world data problems and create data-driven workflows with ease using Azure Data FactoryBuild an ADF pipeline that operates on …

  3. Dmitry Foshin, Dmitry Anoshin, Tonya Chernyshova, Sergii Volodarskyi - Data Engineering with Azure Databricks, Häftad. Tillgänglighet: Lägg i varukorg

    Data Engineering with Azure Databricks

    Design, build, and optimize scalable data pipelines and analytics solutions with Azure Databricks

    Av Dmitry Foshin, Dmitry Anoshin m. fl.

    Häftad, 2026

    653 kr

    Lägg i varukorg

    Master end-to-end data engineering on Azure Databricks. From data ingestion and Delta Lake to CI/CD and real-time streaming, build secure, scalable, and performant data solutions with Spark, Unity Catalog, and ML tools.Key FeaturesBuild scalable data pipelines using Apache Spark and Delta …