Azure Data Engineering Cookbook - Second Edition
Código: 328063919 / MP935517228

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Nearly 80 Recipes To Help You Collect And Transform Data From Multiple Sources Into A Single Data Source, Making It Way Easier To Perform Analytics On The Datakey Features:build Data Pipelines From Scratch And Find Solutions To Common Data Engineering Problemslearn How To Work With Azure Data Factory, Data Lake, Databricks, And Synapse Analyticsmonitor And Maintain Your Data Engineering Pipelines Using Log Analytics, Azure Monitor, And Azure Purviewbook Description:the Famous Quote Data Is The New Oil Seems More True Every Day As The Key To Most Organizations Long-term Success Lies In Extracting Insights From Raw Data. One Of The Major Challenges Organizations Face In Leveraging Value Out Of Data Is Building Performant Data Engineering Pipelines For Data Visualization, Ingestion, Storage, And Processing. This Second Edition Of The Immensely Successful Book By Ahmad Osama Brings To You Several Recent Enhancements In Azure Data Engineering And Shares Approximately 80 Useful Recipes Covering Common Scenarios In Building Data Engineering Pipelines In Microsoft Azure.youll Explore Recipes From Azure Synapse Analytics Workspaces Gen 2 And Get To Grips With Synapse Spark Pools, Sql Serverless Pools, Synapse Integration Pipelines, And Synapse Data Flows. Youll Also Understand Synapse Sql Pool Optimization Techniques In This Second Edition. Besides Synapse Enhancements, Youll Discover Helpful Tips On Managing Azure Sql Database And Learn About Security, High Availability, And Performance Monitoring. Finally, The Book Takes You Through Overall Data Engineering Pipeline Management, Focusing On Monitoring Using Log Analytics And Tracking Data Lineage Using Azure Purview.by The End Of This Book, Youll Be Able To Build Superior Data Engineering Pipelines Along With Having An Invaluable Go-to Guide.what You Will Learn:process Data Using Azure Databricks And Azure Synapse Analyticsperform Data Transformation Using Azure Synapse Data Flowsperform Common Administrative Tasks I
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| Importante | |
|---|---|
| Código da Homologação | Não Informado |
| Garantia do Fornecedor | null |
| Código da Certificação | Não se aplica |
Nearly 80 Recipes To Help You Collect And Transform Data From Multiple Sources Into A Single Data Source, Making It Way Easier To Perform Analytics On The Datakey Features:build Data Pipelines From Scratch And Find Solutions To Common Data Engineering Problemslearn How To Work With Azure Data Factory, Data Lake, Databricks, And Synapse Analyticsmonitor And Maintain Your Data Engineering Pipelines Using Log Analytics, Azure Monitor, And Azure Purviewbook Description:the Famous Quote Data Is The New Oil Seems More True Every Day As The Key To Most Organizations Long-term Success Lies In Extracting Insights From Raw Data. One Of The Major Challenges Organizations Face In Leveraging Value Out Of Data Is Building Performant Data Engineering Pipelines For Data Visualization, Ingestion, Storage, And Processing. This Second Edition Of The Immensely Successful Book By Ahmad Osama Brings To You Several Recent Enhancements In Azure Data Engineering And Shares Approximately 80 Useful Recipes Covering Common Scenarios In Building Data Engineering Pipelines In Microsoft Azure.youll Explore Recipes From Azure Synapse Analytics Workspaces Gen 2 And Get To Grips With Synapse Spark Pools, Sql Serverless Pools, Synapse Integration Pipelines, And Synapse Data Flows. Youll Also Understand Synapse Sql Pool Optimization Techniques In This Second Edition. Besides Synapse Enhancements, Youll Discover Helpful Tips On Managing Azure Sql Database And Learn About Security, High Availability, And Performance Monitoring. Finally, The Book Takes You Through Overall Data Engineering Pipeline Management, Focusing On Monitoring Using Log Analytics And Tracking Data Lineage Using Azure Purview.by The End Of This Book, Youll Be Able To Build Superior Data Engineering Pipelines Along With Having An Invaluable Go-to Guide.what You Will Learn:process Data Using Azure Databricks And Azure Synapse Analyticsperform Data Transformation Using Azure Synapse Data Flowsperform Common Administrative Tasks I