Geospatial Data Analytics On Aws

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Geospatial Data Analytics On Aws

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Author : Scott Bateman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30

Geospatial Data Analytics On Aws written by Scott Bateman 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 2023-06-30 with Computers categories.

Build an end-to-end geospatial data lake in AWS using popular AWS services such as RDS, Redshift, DynamoDB, and Athena to manage geodata Purchase of the print or Kindle book includes a free PDF eBook. Key Features Explore the architecture and different use cases to build and manage geospatial data lakes in AWS Discover how to leverage AWS purpose-built databases to store and analyze geospatial data Learn how to recognize which anti-patterns to avoid when managing geospatial data in the cloud Book DescriptionManaging geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data. You’ll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you’ll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you’ll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning. By the end of this book, you’ll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.What you will learn Discover how to optimize the cloud to store your geospatial data Explore management strategies for your data repository using AWS Single Sign-On and IAM Create effective SQL queries against your geospatial data using Athena Validate postal addresses using Amazon Location services Process structured and unstructured geospatial data efficiently using R Use Amazon SageMaker to enable machine learning features in your application Explore the free and subscription satellite imagery data available for use in your GIS Who this book is forIf you understand the importance of accurate coordinates, but not necessarily the cloud, then this book is for you. This book is best suited for GIS developers, GIS analysts, data analysts, and data scientists looking to enhance their solutions with geospatial data for cloud-centric applications. A basic understanding of geographic concepts is suggested, but no experience with the cloud is necessary for understanding the concepts in this book.

Geospatial Data Analytics On Aws

DOWNLOAD
Author : Scott Bateman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30

Geospatial Data Analytics On Aws written by Scott Bateman 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 2023-06-30 with Computers categories.

Build an end-to-end geospatial data lake in AWS using popular AWS services such as RDS, Redshift, DynamoDB, and Athena to manage geodata Purchase of the print or Kindle book includes a free PDF eBook. Key Features Explore the architecture and different use cases to build and manage geospatial data lakes in AWS Discover how to leverage AWS purpose-built databases to store and analyze geospatial data Learn how to recognize which anti-patterns to avoid when managing geospatial data in the cloud Book DescriptionManaging geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data. You’ll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you’ll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you’ll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning. By the end of this book, you’ll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.What you will learn Discover how to optimize the cloud to store your geospatial data Explore management strategies for your data repository using AWS Single Sign-On and IAM Create effective SQL queries against your geospatial data using Athena Validate postal addresses using Amazon Location services Process structured and unstructured geospatial data efficiently using R Use Amazon SageMaker to enable machine learning features in your application Explore the free and subscription satellite imagery data available for use in your GIS Who this book is forIf you understand the importance of accurate coordinates, but not necessarily the cloud, then this book is for you. This book is best suited for GIS developers, GIS analysts, data analysts, and data scientists looking to enhance their solutions with geospatial data for cloud-centric applications. A basic understanding of geographic concepts is suggested, but no experience with the cloud is necessary for understanding the concepts in this book.

Learning Geospatial Analysis With Python

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Author : Joel Lawhead
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-11-24

Learning Geospatial Analysis With Python written by Joel Lawhead 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 2023-11-24 with Technology & Engineering categories.

Harness the powerful Python programming language to navigate the realms of geographic information systems, remote sensing, topography, and more, while embracing a guiding framework for effective geospatial analysis Key Features Create GIS solutions using the new features introduced in Python 3.10 Explore a range of GIS tools and libraries, including PostGIS, QGIS, and PROJ Identify the tools and resources that best align with your specific needs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python. This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products. By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.What you will learn Automate geospatial analysis workflows using Python Understand the different formats in which geospatial data is available Unleash geospatial tech tools to create stunning visualizations Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Build a geospatial Python toolbox for analysis and application development Unlock remote sensing secrets, detect changes, and process imagery Leverage ChatGPT for solving Python geospatial solutions Apply geospatial analysis to real-time data tracking and storm chasing Who this book is for This book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.

Serverless Etl And Analytics With Aws Glue

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Author : Vishal Pathak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-08-30

Serverless Etl And Analytics With Aws Glue written by Vishal Pathak 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 2022-08-30 with Computers categories.

Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Book DescriptionOrganizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes. Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You’ll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you’ll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options. By the end of this AWS book, you’ll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.What you will learn Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for ETL developers, data engineers, and data analysts

Predictive Analytics For The Modern Enterprise

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Author : Nooruddin Abbas Ali
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-05-20

Predictive Analytics For The Modern Enterprise written by Nooruddin Abbas Ali 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 2024-05-20 with Computers categories.

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies. If you're a data professional, you need to be aligned with your company's business activities more than ever before. This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics on-premises or in the cloud. Explore ways that predictive analytics can provide direct input back to your business Understand mathematical tools commonly used in predictive analytics Learn the development frameworks used in predictive analytics applications Appreciate the role of predictive analytics in the machine learning process Examine industry implementations of predictive analytics Build, train, and retrain predictive models using Python and TensorFlow

Cloud Native Geospatial Analytics With Apache Sedona

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Author : Pawel Tokaj
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-12-05

Cloud Native Geospatial Analytics With Apache Sedona written by Pawel Tokaj 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 2025-12-05 with Computers categories.

Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative distributed computing system, designed specifically for spatial data, has diverse applications in fields such as mobility, telematics, agriculture, climate science, and more. This book serves as your guide to leveraging this tool, along with other technologies, to unlock the potential of geospatial analytics. Authors Paweł Tokaj, Jia Yu, and Mo Sarwat provide practical solutions to the challenges of working with geospatial data at scale. Ideal for developers, data scientists, engineers, and analysts, this guide uses real-world examples to help you integrate Python data ecosystems, apply machine learning, build geospatial data lakehouses, and handle modern geospatial data formats like GeoParquet. Understand how Apache Sedona helps data practitioners address challenges with geospatial data Learn how to run Apache Sedona, both locally and in cloud environments Efficiently load, query, and analyze geospatial datasets using spatial SQL Employ machine learning techniques to derive strategy-defining insights from spatial data Manage and optimize large-scale geospatial data within a data lakehouse architecture

Smart Buildings And Cities With Remote Sensing And Gis

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Author : Shiv Mohan
language : en
Publisher: CRC Press
Release Date : 2025-03-31

Smart Buildings And Cities With Remote Sensing And Gis written by Shiv Mohan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Computers categories.

The built environment is undergoing a profound transformation driven by the integration of cutting-edge geospatial technologies. Smart Buildings and Cities with Remote Sensing and GIS serves as a comprehensive guide to navigating this transformation and bridges the gap between traditional architectural and planning practices and the innovative possibilities of remote sensing (RS) and geographic information systems (GIS). The book demonstrates how architects, planners, and decisionmakers can use GIS and RS to design smarter, context-aware, and eco-friendly urban spaces. It explores innovative approaches for architecture, focusing on geospatial site analysis, net-zero energy building designs, heritage preservation, innovative virtual campus planning methodologies and even futuristic concepts like habitat design on the lunar surface. Key features: • Brings together contemporary geospatial technologies and their applications to address the challenges and opportunities in designing smart buildings and cities. • Provides actionable solutions for professionals, researchers, and policymakers. • Includes global contributions that provide diverse perspectives on smart city and building applications. • Highlights how geospatial data-driven insights can revolutionize decisionmaking processes in urban planning and building design. The work is designed for postgraduate students and researchers in the departments of architecture, planning, and geomatics, geoinformatics, software engineering.

Aws Certified Sysops Administrator Associate All In One Exam Guide Exam Soa C01

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Author : Sam R. Alapati
language : en
Publisher: McGraw Hill Professional
Release Date : 2019-06-14

Aws Certified Sysops Administrator Associate All In One Exam Guide Exam Soa C01 written by Sam R. Alapati and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-14 with Computers categories.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.This study guide covers 100% of the objectives for the AWS Certified SysOps Administrator Associate examTake the challenging AWS Certified SysOps Administrator Associate exam with confidence using this highly effective self-study guide. You will learn how to provision systems, ensure data integrity, handle security, and monitor and tune Amazon Web Services performance. Written by an industry-leading expert, AWS Certified SysOps Administrator Associate All-in-One Exam Guide (Exam SOA-C01) fully covers every objective for the exam and follows a hands-on, step-by-step methodology. Beyond fully preparing you for the exam, the book also serves as a valuable on-the-job reference.Covers all exam topics, including:•Systems operations•Signing up, working with the AWS Management Console, and the AWS CLI•AWS Identity and Access Management (IAM) and AWS service security•AWS compute services and the Elastic Compute Cloud (EC2)•Amazon ECS, AWS Batch, AWS Lambda, and other compute services•Storage and archiving in the AWS cloud with Amazon EBS, Amazon EFS, and Amazon S3 Glacier•Managing databases in the cloud—Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache, and Amazon Redshift•Application integration with Amazon SQS and Amazon SNS•AWS high availability strategies•Monitoring with Amazon CloudWatch, logging, and managing events•Managing AWS costs and billing•Infrastructure provisioning through AWS CloudFormation and AWS OpsWorks, application deployment, and creating scalable infrastructuresOnline content includes:•130 practice questions•Test engine that provides full-length practice exams or customized quizzes by chapter or by exam domain

Aws Certified Solutions Architect Associate All In One Exam Guide Exam Saa C01

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Author : Joyjeet Banerjee
language : en
Publisher: McGraw Hill Professional
Release Date : 2018-09-07

Aws Certified Solutions Architect Associate All In One Exam Guide Exam Saa C01 written by Joyjeet Banerjee and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Computers categories.

COVERS THE NEW 2018 EXAM SAA-C01! This effective study guide provides 100% coverage of every topic on the AWS Certified Solutions Architect Associate exam.Get complete coverage of all objectives included on the February 2018 SAA-C01 exam from this comprehensive resource. Written by an expert AWS Solutions Architect and well-respected author, this authoritative guide fully addresses the knowledge and skills required for passing the AWS Certified Solutions Architect Associate exam. You’ll find learning objectives at the beginning of each chapter, exam tips, practice exam questions, and in-depth explanations. Designed to help you pass the exam with ease, this definitive volume also serves as an essential on-the-job reference.Covers all exam domains, including:•Design Resilient Architectures •Define Performant Architectures •Specify Secure Applications and Architectures •Design Cost-Optimized Architectures •Define Operationally Excellent Architectures Digital content includes:•130 practice exam questions•Test engine that provides practice exams or quizzes that can be customized by chapter or exam objective

Data Analytics In The Aws Cloud

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Author : Joe Minichino
language : en
Publisher: John Wiley & Sons
Release Date : 2023-04-06

Data Analytics In The Aws Cloud written by Joe Minichino 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 2023-04-06 with Computers categories.

A comprehensive and accessible roadmap to performing data analytics in the AWS cloud In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino delivers an expert blueprint to storing, processing, analyzing data on the Amazon Web Services cloud platform. In the book, you’ll explore every relevant aspect of data analytics—from data engineering to analysis, business intelligence, DevOps, and MLOps—as you discover how to integrate machine learning predictions with analytics engines and visualization tools. You’ll also find: Real-world use cases of AWS architectures that demystify the applications of data analytics Accessible introductions to data acquisition, importation, storage, visualization, and reporting Expert insights into serverless data engineering and how to use it to reduce overhead and costs, improve stability, and simplify maintenance A can't-miss for data architects, analysts, engineers and technical professionals, Data Analytics in the AWS Cloud will also earn a place on the bookshelves of business leaders seeking a better understanding of data analytics on the AWS cloud platform.