Lesteve Ron (86 results)

Paperback. Condition: Very Good. Build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data Factory, Databricks, Synapse Analytics, Snowflake, Azure SQL database, Stream Analytics, Cosmos database, and Data Lake Storage Gen2. You will learn how to engineer your use of these Azure Data Platform components for optimal performance and scalability. You will also learn to design self-service capabilities to maintain and drive the pipelines and your workloads. The approach in this book is to guide you through a hands-on, scenario-based learning process that will empower you to promote digital innovation best practices while you work through your organization?s projects, challenges, and needs. The clear examples enable you to use this book as a reference and guide for building data engineering solutions in Azure. After reading this book, you will have a far stronger skill set and confidence level in getting hands on with the Azure Data Platform.What You Will LearnBuild dynamic, parameterized ELT data ingestion orchestration pipelines in Azure Data FactoryCreate data ingestion pipelines that integrate control tables for self-service ELTImplement a reusable logging framework that can be applied to multiple pipelinesIntegrate Azure Data Factory pipelines with a variety of Azure data sources and toolsTransform data with Mapping Data Flows in Azure Data FactoryApply Azure DevOps continuous integration and deployment practices to your Azure Data Factory pipelines and development SQL databasesDesign and implement real-time streaming and advanced analytics solutions using Databricks, Stream Analytics, and Synapse AnalyticsGet started with a variety of Azure data services through hands-on examplesWho This Book Is ForData engineers and data architects who are interested in learning architectural and engineering best practices around ELT and ETL on the Azure Data Platform, those who are creating complex Azure data engineering projects and are searching for patterns of success, and aspiring cloud and data professionals involved in data engineering, data governance, continuous integration and deployment of DevOps practices, and advanced analytics who want a full understanding of the many different tools and technologies that Azure Data Platform provides.…

Paperback. Condition: Very Good. Build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data Factory, Databricks, Synapse Analytics, Snowflake, Azure SQL database, Stream Analytics, Cosmos database, and Data Lake Storage Gen2. You will learn how to engineer your use of these Azure Data Platform components for optimal performance and scalability. You will also learn to design self-service capabilities to maintain and drive the pipelines and your workloads. The approach in this book is to guide you through a hands-on, scenario-based learning process that will empower you to promote digital innovation best practices while you work through your organization?s projects, challenges, and needs. The clear examples enable you to use this book as a reference and guide for building data engineering solutions in Azure. After reading this book, you will have a far stronger skill set and confidence level in getting hands on with the Azure Data Platform.What You Will LearnBuild dynamic, parameterized ELT data ingestion orchestration pipelines in Azure Data FactoryCreate data ingestion pipelines that integrate control tables for self-service ELTImplement a reusable logging framework that can be applied to multiple pipelinesIntegrate Azure Data Factory pipelines with a variety of Azure data sources and toolsTransform data with Mapping Data Flows in Azure Data FactoryApply Azure DevOps continuous integration and deployment practices to your Azure Data Factory pipelines and development SQL databasesDesign and implement real-time streaming and advanced analytics solutions using Databricks, Stream Analytics, and Synapse AnalyticsGet started with a variety of Azure data services through hands-on examplesWho This Book Is ForData engineers and data architects who are interested in learning architectural and engineering best practices around ELT and ETL on the Azure Data Platform, those who are creating complex Azure data engineering projects and are searching for patterns of success, and aspiring cloud and data professionals involved in data engineering, data governance, continuous integration and deployment of DevOps practices, and advanced analytics who want a full understanding of the many different tools and technologies that Azure Data Platform provides.…

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

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Paperback or Softback. Condition: New. The Cloud Leader's Handbook: Strategically Innovate, Transform, and Scale Organizations. Book.

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Condition: As New. Unread book in perfect condition.

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Paperback. Condition: New. 1st ed. This book is a comprehensive guide covering modern cloud strategies and leadership approaches for building and scaling organizations to maturity on their cloud adoption journey. The book starts by examining technical topics from the perspective of the cloud leader, who is responsible for cloud teams and accountable for cloud products and platforms within their organization. Through a series of practical insights and real-world examples, you will gain a deep understanding of the key considerations for leading a cloud-driven organization. These considerations include understanding the benefits of digital transformation, managing global tech teams, and delivering excellence through platform ownership. Towards the end of the book, you will explore the latest trends and best practices for strategically innovating and scaling your organization in the cloud. With the knowledge gained from this book, you will be able to harness the power of the cloud to drive business success and gain valuable insights and practical strategies to support and empower the adoption of modern cloud platforms and technologies for your clients and organization.  The Cloud Leader's Handbook is a must-read for any Cloud Leader who wants to stay ahead of the curve and achieve success in the rapidly evolving world of cloud computing.What Will You LearnDevelop a strong foundation in the technical aspects of cloud leadershipUnderstand the benefits of digital transformation and how to lead a cloud-driven organization, including managing global tech teams.Discover the bleeding-edge cloud trends that are influencing organizational roadmapsTransition into the role of the modern Cloud Leader by gaining a deeper perspective around what it means to own, manage, administer, govern, and optimize the modern cloud platformLearn how to effectively envision, manage, and deploy modern cloud transformation projects through successful approaches around innovation, strategy, and excellenceWho This Book Is ForExperienced IT professionals and business leaders looking to understand the power of the cloud. …

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. 1st ed. This book is a comprehensive guide covering modern cloud strategies and leadership approaches for building and scaling organizations to maturity on their cloud adoption journey. The book starts by examining technical topics from the perspective of the cloud leader, who is responsible for cloud teams and accountable for cloud products and platforms within their organization. Through a series of practical insights and real-world examples, you will gain a deep understanding of the key considerations for leading a cloud-driven organization. These considerations include understanding the benefits of digital transformation, managing global tech teams, and delivering excellence through platform ownership. Towards the end of the book, you will explore the latest trends and best practices for strategically innovating and scaling your organization in the cloud. With the knowledge gained from this book, you will be able to harness the power of the cloud to drive business success and gain valuable insights and practical strategies to support and empower the adoption of modern cloud platforms and technologies for your clients and organization.  The Cloud Leader's Handbook is a must-read for any Cloud Leader who wants to stay ahead of the curve and achieve success in the rapidly evolving world of cloud computing.What Will You LearnDevelop a strong foundation in the technical aspects of cloud leadershipUnderstand the benefits of digital transformation and how to lead a cloud-driven organization, including managing global tech teams.Discover the bleeding-edge cloud trends that are influencing organizational roadmapsTransition into the role of the modern Cloud Leader by gaining a deeper perspective around what it means to own, manage, administer, govern, and optimize the modern cloud platformLearn how to effectively envision, manage, and deploy modern cloud transformation projects through successful approaches around innovation, strategy, and excellenceWho This Book Is ForExperienced IT professionals and business leaders looking to understand the power of the cloud. …

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

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Condition: 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.

Paperback. Condition: new. Paperback. This book is a comprehensive guide covering modern cloud strategies and leadership approaches for building and scaling organizations to maturity on their cloud adoption journey. The book starts by examining technical topics from the perspective of the cloud leader, who is responsible for cloud teams and accountable for cloud products and platforms within their organization. Through a series of practical insights and real-world examples, you will gain a deep understanding of the key considerations for leading a cloud-driven organization. These considerations include understanding the benefits of digital transformation, managing global tech teams, and delivering excellence through platform ownership. Towards the end of the book, you will explore the latest trends and best practices for strategically innovating and scaling your organization in the cloud. With the knowledge gained from this book, you will be able to harness the power of the cloud to drive business success and gain valuable insights and practical strategies to support and empower the adoption of modern cloud platforms and technologies for your clients and organization. The Cloud Leader's Handbook is a must-read for any Cloud Leader who wants to stay ahead of the curve and achieve success in the rapidly evolving world of cloud computing.What Will You LearnDevelop a strong foundation in the technical aspects of cloud leadershipUnderstand the benefits of digital transformation and how to lead a cloud-driven organization, including managing global tech teams.Discover the bleeding-edge cloud trends that are influencing organizational roadmapsTransition into the role of the modern Cloud Leader by gaining a deeper perspective around what it means to own, manage, administer, govern, and optimize the modern cloud platformLearn how to effectively envision, manage, and deploy modern cloud transformation projects through successful approaches around innovation, strategy, and excellenceWho This Book Is ForExperienced IT professionals and business leaders looking to understand the power of the cloud. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback or Softback. Condition: New. The Definitive Guide to Azure Data Engineering: Modern Elt, Devops, and Analytics on the Azure Cloud Platform. Book.

Condition: New.

Condition: 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.

Paperback or Softback. Condition: New. The Azure Data Lakehouse Toolkit: Building and Scaling Data Lakehouses with Delta Lake, Apache Spark, Azure Databricks and Synapse Analytics, and Snow. Book.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

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Condition: New. In English.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data Factory, Databricks, Synapse Analytics, Snowflake, Azure SQL database, Stream Analytics, Cosmos database, and Data Lake Storage Gen2. You will learn how to engineer your use of these Azure Data Platform components for optimal performance and scalability. You will also learn to design self-service capabilities to maintain and drive the pipelines and your workloads. The approach in this book is to guide you through a hands-on, scenario-based learning process that will empower you to promote digital innovation best practices while you work through your organization's projects, challenges, and needs. The clear examples enable you to use this book as a reference and guide for building data engineering solutions in Azure. After reading this book, you will have a far stronger skill set and confidence level in getting hands on with the Azure Data Platform.What You Will LearnBuild dynamic, parameterized ELT data ingestion orchestration pipelines in Azure Data FactoryCreate data ingestion pipelines that integrate control tables for self-service ELTImplement a reusable logging framework that can be applied to multiple pipelinesIntegrate Azure Data Factory pipelines with a variety of Azure data sources and toolsTransform data with Mapping Data Flows in Azure Data FactoryApply Azure DevOps continuous integration and deployment practices to your Azure Data Factory pipelines and development SQL databasesDesign and implement real-time streaming and advanced analytics solutions using Databricks, Stream Analytics, and Synapse AnalyticsGet started with a variety of Azure data services through hands-on examplesWho This Book Is ForData engineers and data architects who are interested in learning architectural and engineering best practices around ELT and ETL on the Azure Data Platform, those who are creating complex Azure data engineering projects and are searching for patterns of success, and aspiring cloud and data professionals involved in data engineering, data governance, continuous integration and deployment of DevOps practices, and advanced analytics who want a full understanding of the many different tools and technologies that Azure Data Platform provides.…

Paperback. Condition: New. Design and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure Synapse Analytics, and Snowflake. This book teaches you the intricate details of the Data Lakehouse Paradigm and how to efficiently design a cloud-based data lakehouse using highly performant and cutting-edge Apache Spark capabilities using Azure Databricks, Azure Synapse Analytics, and Snowflake. You will learn to write efficient PySpark code for batch and streaming ELT jobs on Azure. And you will follow along with practical, scenario-based examples showing how to apply the capabilities of Delta Lake and Apache Spark to optimize performance, and secure, share, and manage a high volume, high velocity, and high variety of data in your lakehouse with ease.The patterns of success that you acquire from reading this book will help you hone your skills to build high-performing and scalable ACID-compliant lakehouses using flexible and cost-efficient decoupled storage and compute capabilities. Extensive coverage of Delta Lake ensures that you are aware of and can benefit from all that this new, open source storage layer can offer. In addition to the deep examples on Databricks in the book, there is coverage of alternative platforms such as Synapse Analytics and Snowflake so that you can make the right platform choice for your needs.After reading this book, you will be able to implement Delta Lake capabilities, including Schema Evolution, Change Feed, Live Tables, Sharing, and Clones to enable better business intelligence and advanced analytics on your data within the Azure Data Platform.What You Will LearnImplement the Data Lakehouse Paradigm on Microsoft's Azure cloud platformBenefit from the new Delta Lake open-source storage layer for data lakehouses Take advantage of schema evolution, change feeds, live tables, and moreWritefunctional PySpark code for data lakehouse ELT jobsOptimize Apache Spark performance through partitioning, indexing, and other tuning optionsChoose between alternatives such as Databricks, Synapse Analytics, and SnowflakeWho This Book Is ForData, analytics, and AI professionals at all levels, including data architect and data engineer practitioners. Also for data professionals seeking patterns of success by which to remain relevant as they learn to build scalable data lakehouses for their organizations and customers who are migrating into the modern Azure Data Platform.…