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Build Real Time Data Analytics on Google Cloud Platform

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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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Building Your Next Big Thing with Google Cloud Platform

services. Then they dive right into Google Cloud Platform and how you can use it to tackle your challenges, build new products, analyze big data;

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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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Hands-On Machine Learning on Google Cloud Platform

Unleash Google's Cloud Platform to build, train and optimize machine learning models Key Features Get well versed in GCP pre-existing;

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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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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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Google Cloud Platform in Action

to choose from, Google Cloud Platform offers unique services that let you focus on building powerful applications. Google;

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Pro DevOps with Google Cloud Platform

, and monitor a real application with GCP. What You Will Learn Build and deploy applications and services using DevOps on Google Cloud;

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Visualizing Google Cloud

of services included in Google Cloud Platform: Compute Storage Databases Data Analytics Data Science, Machine Learning and Artificial;

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Real-Time Analytics

to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that;

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Google Cloud Platform for Developers

Develop, deploy, and scale your applications with Google Cloud Platform Key Features Create and deploy your applications on Google Cloud;

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Big Data Analytics with Hadoop 3

data processing Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics Set up a Hadoop cluster on AWS cloud;

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The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels;

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The Definitive Guide to Conversational AI with Dialogflow and Google Cloud

as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels;

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Look Smarter Than You Are with Oracle Analytics Cloud Standard Edition

Oracle Analytics Cloud is a full Business Intelligence platform that allows companies to store and calculate data and display it;

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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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Cloud Analytics with Microsoft Azure

on the cloud Differentiate between structured, semi-structured, and unstructured data Choose a cloud-based service for your data analytics;

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Building Google Cloud Platform Solutions

Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes Key Features;

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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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The Definitive Guide to Firebase

. You'll see how to build cross-platform apps with the three pillars of the Firebase platform: technologies to help you develop apps with a real;

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The Definitive Guide to Azure Data Engineering

Build efficient and scalable batch and real-time data ingestion pipelines, DevOps continuous integration and deployment pipelines, and;

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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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Hands-On Serverless Computing with Google Cloud

chapters, you will get to grips with how key technologies such as Knative enable Cloud Run to be hosted on multiple platforms including Kubernetes;

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Google Cloud AI Services Quick Start Guide

the Google Cloud Platform and the AI services it offers Build smart web applications by combining the power of Google Cloud AI services and;

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Hands-On Machine Learning with IBM Watson

science and machine learning techniques to draw insights from real-world data Understand what IBM Cloud platform can help you to implement;

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