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Building the Snowflake Data Cloud

Intermediate-Advanced user level;...

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Building the Snowflake Data Cloud

Direct Share, Data Exchange, and Snowflake Marketplace. Building the Snowflake Data Cloud helps you transform your organization into monetizing;

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Snowflake Cookbook

solutions using the all-in-one Snowflake platform Perform advanced cloud analytics for implementing big data and data science solutions Make;

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The Azure Data Lakehouse Toolkit

Analytics, and Snowflake. This book teaches you the intricate details of the Data Lakehouse Paradigm and how to efficiently design a cloud-based;

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Cloud Data Centers and Cost Modeling

Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data;

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Design Patterns for Cloud Native Applications

With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer;

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Software Architecture for Big Data and the Cloud

approaches to building software architectures for cloud and big data with state-of-the-art methods and techniquesPresents case studies;

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Where I Go

Jordan is a snowflake who lives in the clouds with her family. One day everything changes when she falls from a cloud, just before her;

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Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines

Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud;

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Cloud Native Using containers, functions, and data to build nextgeneration applications

Scholl, Trent Swanson, and Peter Jausovec describe the architectural building blocks for a modern cloud native application. You'll learn how to;

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Azure Storage, Streaming, and Batch Analytics

cloud services architecture * Building a data warehouse in Azure * How to choose the right Azure technology for your task;

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Data Privacy and Trust in Cloud Computing

demonstrated cloud computing's uneasy relationship with data security and trust. This volume explores the numerous;

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Cloud Analytics with Google Cloud Platform

analytics pipeline on the cloud Book DescriptionWith the ongoing data explosion, more and more organizations all over the world are slowly migrating;

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Building the Digital Enterprise

technologies of social networking, mobility, big data and cloud computing, and provides a methods for linking digital technologies together to meet the;

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Cloud Security For Dummies, 1st Edition

techniques discussed in Cloud Security For Dummies, you'll mitigate the risk of a data breach by building security into your network from the bottom;

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Reliability Assurance of Big Data in the Cloud

With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated;

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Spring Cloud Data Flow

creating applications that use real-time data streaming by combining different technologies and use the full power of Spring Cloud Data Flow. The;

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Mapping Data Flows in Azure Data Factory

to building complex data transformation pipelines in the cloud with Azure; and data engineers who need ETL solutions that scale to match;

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Mastering Cloud Computing

computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures;

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Mobile Cloud Computing

classifications, virtualization techniques and service models. It then examines the approaches to building cloud services using a bottom-up;

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Security of Cloud-Based Systems

DDoS attacks; and generation of labelled datasets to quantify the impact of security threats to cloud data centers. Section 2 focuses on;

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Neuroscience Data in the Cloud: Opportunities and Challenges

The cloud model of data sharing has led to a vast increase in the quantity and complexity of data and expanded access to these data, which;

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Cloud Networking

Cloud Networking: Understanding Cloud-Based Data Center Networks explains the evolution of established networking technologies into;

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Enterprise Cloud Computing for Non-Engineers

addresses the basics of operating a Cloud computing data center, the services offered from Cloud providers, the carrier role in connecting users to;

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Data Protection and the Cloud

DPA. Data Protection and the Cloud addresses that issue, providing an expert introduction to the legal and practical data protection risks;

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Data Analysis in the Cloud

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital;

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Hands-On Machine Learning with IBM Watson

Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key Features Implement data;

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