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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 Analytics with Microsoft Azure

data. As you advance, you'll learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By;

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Build Real Time Data Analytics on Google Cloud Platform

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Hands-On Machine Learning on Google Cloud Platform

Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to;

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Snowflake Cookbook

warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which;

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Google Cloud Platform for Developers

, and cloud functions. You'll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable;

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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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Automated Machine Learning

explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop;

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Official Google Cloud Certified Professional Data Engineer Study Guide

available. This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud;

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Mastering Azure Machine Learning

models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to;

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Cloud Analytics with Microsoft Azure

and data pipelines Discover unique design considerations while applying a cloud analytics solution Design an end-to-end analytics pipeline;

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Understanding Azure Data Factory

Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on;

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Google Cloud Platform in Action

-by-step instruction on deploying applications, handling large amounts of data, and much more By the end, readers will know how to;

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Pro DevOps with Google Cloud Platform

context of a real microservices application to deploy in the cloud. You will also create a monitor for your cloud and see how to use its data to;

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Cloud Analytics with Google Cloud Platform

your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used;

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Learning Google BigQuery

# * Visualize your BigQuery data by connecting it to third party tools such as Tableau and R * Master the Google Cloud Pub/Sub for implementing real;

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Building Google Cloud Platform Solutions

hone your skills, you'll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable;

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The Definitive Guide to Azure Data Engineering

advanced analytics solutions on the Azure Data Platform. This book teaches you to design and implement robust data engineering solutions using Data;

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Visualizing Google Cloud

Easy-to-follow visual walkthrough of every important part of the Google Cloud Platform The Google Cloud Platform incorporates dozens;

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Kubeflow Operations Guide Managing Cloud and OnPremise Deployment

Deploy Kubeflow on Google Cloud Platform, AWS, and Azure Use KFServing to develop and deploy machine learning models;

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Hands On Google Cloud SQL and Cloud Spanner

started with Big Data technologies on the Google Cloud Platform Review CloudSQL and Cloud Spanner from basics to administration Apply best;

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Building Your Next Big Thing with Google Cloud Platform

tell all approach, the emphasis is on how to Get Things Done so that you get up to speed with Google Cloud Platform as quickly as possible;

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Architecting Google Cloud Solutions

Leverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and services Use Google Cloud Big Data;

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Learn Grafana 7.0

Google Stackdriver Book DescriptionGrafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's;

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Spring Cloud Data Flow

-party cloud platform solutions, such as Kubernetes. Finally, the book covers Spring Cloud Data Flow applications to impart practical, useful;

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Official Google Cloud Certified Associate Cloud Engineer Study Guide

Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to;

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Google Cloud Platform for Architects

services. By the end of this book, you will be able to make the most out of Google Cloud Platform design. What you will learn Set up GCP account;

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