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Etat : New.

Paperback or Softback. Etat : New. Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions. Book.

Etat : New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Paperback. Etat : new. Paperback. Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New.

Paperback. Etat : New. Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.

Etat : New.

Hardcover. Etat : New. ISBN:9788176223751.

Paperback. Etat : New. Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.

Etat : New. pp. xvii + 621.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. pp. xvii + 621 Illus.

Hardcover. Etat : New. ISBN:9789390512874.

Hardcover. Etat : New. ISBN:9788176223812.

Etat : New. 2018. 1st ed. Paperback. . . . . .

Etat : New. In.

PF. Etat : New.

Etat : New. pp. xvii + 621.

Etat : New. 2018. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Etat : Brand New. 379 pages. 9.25x6.10x0.79 inches. In Stock.

Hardcover. Etat : New. 1st Edition. Contents: 1. Production technology for higher productivity and income. 2. Resource conservation technology for sustainable development. 3. Biotic and abiotic stress management technology. 4. Action agenda and technology transfer. 5. Entrepreneurship development for self employment. 6. Livestock production management.

Paperback. Etat : New. Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.

Hardcover. Etat : New. 1st Edition. Contents: Foreword. Preface. 1. Strategic framework for creating sustainable food and nutrition security/Reeta Mishra, Y.D. Mishra, Sangeeta Dwivedi and P.P. Singh. 2. Integreated farming system: issue, strategy and scope/L.C. Verma, Shrikant B. Katole, S.K. Yadav, S.K. Rawat and S.K. Sachan. 3. Integrated farming system: sustainable entrepreneurial avenue for rural farming community/S. Biswas and A. Goswami. 4. Crop diversification for sustainable production system/Vishram Ram, Dinesh Sah and A.K. Singh. 5. Contingency crop planning for sustainable agriculture/Narednra Kumawat, R.S. Yadav, Rakesh Kumar and Pawan Kumar Panwar. 6. Climate smart agriculture/Ambreesh Singh Yadav and Rakesh Kumar Upadhyay. 7. Biotechnological approaches for heat and drought tolerance/Amit Kumar, R.S. Sengar, Raj Singi and Rekha Dixit. 8. Soil health card and fertilizer recommendation/Jugul Kishor Tiwari and Hanumant Singh Tomar. 9. Role of plant growth promoting rhizobacteria in the management of viral diseases of plants/N.K. Sharma, S.K. Singh, S.P. Singh, Adesh Kumar, D. Srivastava and D. Kumar. 10. Soil solarization : Importance and techniques for production management/Ashwini Singh, Vinaya Kumar Singh, U.S. Tiwari and B.N. Tripathi. 11. Resource conservation through mechanization in agriculture/Sarvesh Kumar and Devendra Singh. 12. Remediation of arsenic by nutrient management for agriculture sustainability/Prakash Chandra Gupta. 13. Role of beneficial microorganism in sustainable agriculture/Kumari Punam Pallavi and Prakash Chandra Gupta. 14. Sustainability in agriculture through microbial inoculants/R. Nayak, R.K. Singh, S.K. Yadav and L.C. Verma. 15. Management of salt affected soils/Shashi Kant Yadav, Satish Kumar Tomar, Lal Chandra Verma and Priya. Agriculture is the largest private enterprises of India in which more than 81 percent farmers belong to small and marginal categories. Majority of them requires need based, location specific technologies for solving their farm problems and increasing farm productivity and income. In this line many steps are taken by several organization(s) as individually and or jointly. To promoting such effort a small step is taken by authors in the form of innovative book. This book "Agricultural Technology for Sustaining Rural Growth" provides a comprehensive applied technological knowledge on various aspects of agriculture and rural development. The book has been written to serve as advance knowledge of innovative technology for students, teachers, researchers, extensional personnel and who are engaged in the development of agriculture and rural-upliftment at various levels under public and private system.

Paperback. Etat : new. Paperback. Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Etat : New. Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.