Snowflake Data Platform Engineering
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Snowflake Data Platform Engineering
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-09
Snowflake Data Platform Engineering written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
"Snowflake Data Platform Engineering" "Snowflake Data Platform Engineering" is a comprehensive guide to mastering Snowflake, the modern cloud data platform enabling enterprise-grade analytics and data engineering at scale. This book demystifies Snowflake's foundational multi-cluster architecture, detailing the separation of storage and compute, virtual warehouse optimization, secure data management, and cloud provider-agnostic features. Readers are introduced to robust security frameworks, including encryption, RBAC, and data masking, alongside governance strategies vital for regulatory compliance and data protection. Building on architectural insights, the book systematically explores modern ingestion and integration patterns—from batch and bulk loading to real-time streaming with Snowpipe, effective handling of semi-structured data, and seamless connectivity to external data lakes and third-party ETL tools. In-depth chapters on data modeling, schema evolution, transformation, and lineage equip practitioners to implement advanced analytics solutions with agility and performance, harnessing Snowflake’s capabilities for materialized views, procedural SQL, and automated workflows. Best practices in performance tuning, query optimization, and resource governance are paired with detailed troubleshooting techniques for high-impact and cost-effective solutions. Further, the book addresses mission-critical themes such as high availability, disaster recovery, automation with Infrastructure as Code, and extensibility through APIs, Snowpark, and data marketplace integration. Real-world case studies, industry-specific blueprints, and practical lessons offer guidance for both newcomers and seasoned data engineers. "Snowflake Data Platform Engineering" is an essential resource for unlocking the full power, resilience, and innovation potential of the Snowflake ecosystem in today’s cloud-driven landscape.
Data Engineering With Google Cloud Platform
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Author : Adi Wijaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-31
Data Engineering With Google Cloud Platform written by Adi Wijaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-31 with Computers categories.
Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines Discover tips to prepare for and pass the Professional Data Engineer exam Book DescriptionWith this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards. Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP. By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP.What you will learn Load data into BigQuery and materialize its output for downstream consumption Build data pipeline orchestration using Cloud Composer Develop Airflow jobs to orchestrate and automate a data warehouse Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster Leverage Pub/Sub for messaging and ingestion for event-driven systems Use Dataflow to perform ETL on streaming data Unlock the power of your data with Data Studio Calculate the GCP cost estimation for your end-to-end data solutions Who this book is for This book is for data engineers, data analysts, and anyone looking to design and manage data processing pipelines using GCP. You'll find this book useful if you are preparing to take Google's Professional Data Engineer exam. Beginner-level understanding of data science, the Python programming language, and Linux commands is necessary. A basic understanding of data processing and cloud computing, in general, will help you make the most out of this book.
Rise Of The Data Cloud
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Author : Frank Slootman
language : en
Publisher: AuthorHouse
Release Date : 2020-12-18
Rise Of The Data Cloud written by Frank Slootman and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Business & Economics categories.
The rise of the Data Cloud is ushering in a new era of computing. The world’s digital data is mass migrating to the cloud, where it can be more effectively integrated, managed, and mobilized. The data cloud eliminates data siloes and enables data sharing with business partners, capitalizing on data network effects. It democratizes data analytics, making the most sophisticated data science tools accessible to organizations of all sizes. Data exchanges enable businesses to discover, explore, and easily purchase or sell data—opening up new revenue streams. Business leaders have long dreamed of data driving their organizations. Now, thanks to the Data Cloud, nothing stands in their way.
Snowflake Cookbook
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Author : Hamid Mahmood Qureshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-25
Snowflake Cookbook written by Hamid Mahmood Qureshi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-25 with Computers categories.
Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations Key Features Build and scale modern data solutions using the all-in-one Snowflake platform Perform advanced cloud analytics for implementing big data and data science solutions Make quicker and better-informed business decisions by uncovering key insights from your data Book Description Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses. You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data. As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes. What you will learn Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform Optimize performance and costs associated with a Snowflake solution Stage data on object stores and load it into Snowflake Secure data and share it efficiently for access Manage transactions and extend Snowflake using stored procedures Extend cloud data applications using Spark Connector Who this book is for This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.
Jumpstart Snowflake
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Author : Dmitry Anoshin
language : en
Publisher: Apress
Release Date : 2019-12-20
Jumpstart Snowflake written by Dmitry Anoshin and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-20 with Computers categories.
Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud. With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use. Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks. Finally, it covers migration scenarios for on-premise legacy data warehouses. What You Will Learn Know the key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools Who This Book Is For Those working with data warehouse and business intelligence (BI) technologies, and existing and potential Snowflake users
Kaa Iot Platform Engineering
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-29
Kaa Iot Platform Engineering written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
"Kaa IoT Platform Engineering" "Kaa IoT Platform Engineering" is an authoritative guide to building, deploying, and operating modern IoT solutions using the Kaa platform. The book opens with a thorough exploration of IoT architectural evolution, delving into the historical context, present-day trends, and Kaa’s unique positioning among leading platforms such as AWS IoT and Azure IoT Hub. Readers gain a comprehensive understanding of Kaa’s core architecture, extensibility, and release ecosystem, with a special emphasis on requirements gathering and the critical importance of security in the ever-expanding IoT landscape. The depth of the book excels as it explores the technical foundation of the Kaa platform, from microservices-based design and resilient multi-tenancy deployment to device provisioning, endpoint SDKs, and edge gateway integration. Extensive chapters cover data collection pipelines, real-time telemetry, analytics integrations, and advanced topics like schema management, complex event detection, and regulatory compliance. Security is treated as a first-class concern throughout, detailing authentication strategies, device and data protection, incident response, and adherence to global standards such as GDPR and ISO 27001. Bringing theory to practice, the book provides deployment blueprints for cloud-native, hybrid, and edge environments, enriched by case studies, performance benchmarks, and proven operational strategies. It equips engineers and architects with practical tools for scaling, automating, and maintaining Kaa-based IoT ecosystems. Complete with guidance on extension development, advanced application workflows, and community best practices, "Kaa IoT Platform Engineering" stands as an indispensable resource for professionals seeking to unlock the full potential of IoT deployments with enterprise-grade reliability and innovation.
Analytics Engineering With Sql And Dbt
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Author : Rui Pedro Machado
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-12-08
Analytics Engineering With Sql And Dbt written by Rui Pedro Machado and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Computers categories.
With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL. Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence. With this book, you'll learn: What dbt is and how a dbt project is structured How dbt fits into the data engineering and analytics worlds How to collaborate on building data models The main tools and architectures for building useful, functional data models How to fit dbt into data warehousing and laking architecture How to build tests for data transformations
Data Pipelines Pocket Reference
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Author : James Densmore
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-02-10
Data Pipelines Pocket Reference written by James Densmore and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-10 with Computers categories.
Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting
Amp It Up
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Author : Frank Slootman
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-13
Amp It Up written by Frank Slootman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Business & Economics categories.
Wall Street Journal, USA Today, and Publishers Weekly Bestseller The secret to leading growth is your mindset Snowflake CEO Frank Slootman is one of the tech world's most accomplished executives in enterprise growth, having led Snowflake to the largest software IPO ever after leading ServiceNow and Data Domain to exponential growth and the public market before that. In Amp It Up: Leading for Hypergrowth by Raising Expectations, Increasing Urgency, and Elevating Intensity, he shares his leadership approach for the first time. Amp It Up delivers an authoritative look at what it takes to transform an organization for maximum growth and scale. Slootman shows that most leaders have significant room to improve their organization's performance without making expensive changes to their talent, structure, or fundamental business model—and they don’t need to bring in an army of consultants to do it. What they do need is to align people around what matters and execute with urgency and intensity every day. Leading for unprecedented growth means declaring war on mediocrity, breaking the status quo, and making conflicted choices daily, all with a relentless focus on the mission. Amp It Up provides the first principles to guide that change, and the tactical advice for organizing a company around them. Perfect for executives, entrepreneurs, founders, managers, and leaders of all kinds, Amp It Up is a must-read resource for anyone who seeks to unleash the growth potential of a company and scale it to heights they never thought possible.
Luigi Workflow Systems In Data Engineering
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-12
Luigi Workflow Systems In Data Engineering written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Computers categories.
"Luigi Workflow Systems in Data Engineering" "Luigi Workflow Systems in Data Engineering" offers a comprehensive exploration of Luigi as a cornerstone for modern data pipeline orchestration. Beginning with the evolution of workflow management in data engineering, the book presents a nuanced discussion of the critical challenges posed by today’s complex, large-scale data systems and the necessity for robust orchestration. It sets Luigi within a diverse landscape of workflow systems, contrasting legacy architectures with current, maintainable solutions, and guiding readers through contemporary trends such as declarative pipeline definitions. The heart of the text delves deeply into Luigi’s architectural foundations, task modeling, and extensibility features. Readers gain in-depth knowledge of Luigi’s approach to dependency management, configuration, environment isolation, and security, all framed through practical design patterns and real-world implementation strategies. The book details how to develop, test, and maintain scalable and resilient pipelines, with a strong focus on reliability, modularity, auditability, and best practices for handling failures, complex dependencies, and parameter management. Moving beyond the fundamentals, "Luigi Workflow Systems in Data Engineering" illuminates Luigi’s vital role in the broader data engineering ecosystem. The volume describes powerful integrations with databases, filesystems, distributed compute frameworks, and cloud-native architectures. With chapters on observability, governance, and advanced use cases—such as machine learning pipelines, real-time analytics, and hybrid cloud deployments—the book concludes by envisioning Luigi’s future, examining innovations like serverless orchestration, AI-driven workflow optimization, and the ongoing evolution of Luigi’s vibrant open-source community. This is an essential resource for data engineers and architects seeking both foundational mastery and cutting-edge insight into orchestrated data workflows.