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Nº de artículo:
60937203
Serverless Analytics with Amazon Athena: Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure
85% of respondents would recommend this to a friend
Nº de artículo:
60937203
CRC 41662
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Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using SQL, without needing to manage any infrastructure.
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What Stands Out
Serverless Architecture
Eliminate infrastructure management with a fully serverless setup, allowing users to focus solely on querying data without the burden of configuration or maintenance.
Versatile Data Support
Seamlessly query structured, unstructured, and semi-structured data, providing flexible options for diverse data types and use cases, making it suitable for various analytics needs.
Quick Query Performance
Achieve rapid query results in seconds, enabling faster decision-making and insights while enhancing overall productivity and efficiency in data analysis processes.
Detalles de producto
- Get more from your data with Amazon Athena’s ease-of-use, interactive performance, and pay-per-query pricingKey FeaturesExplore the promising capabilities of Amazon Athena and Athena’s Query Federation SDKUse Athena to prepare data for common machine learning activitiesCover best practices for setting up connectivity between your application and Athena and security considerationsBook DescriptionAmazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using SQL, without needing to manage any infrastructure.This book begins with an overview of the serverless analytics experience offered by Athena and teaches you how to build and tune an S3 Data Lake using Athena, including how to structure your tables using open-source file formats like Parquet. You’ll learn how to build, secure, and connect to a data lake with Athena and Lake Formation. Next, you’ll cover key tasks such as ad hoc data analysis, working with ETL pipelines, monitoring and alerting KPI breaches using CloudWatch Metrics, running customizable connectors with AWS Lambda, and more. Moving on, you’ll work through easy integrations, troubleshooting and tuning common Athena issues, and the most common reasons for query failure. You will also review tips to help diagnose and correct failing queries in your pursuit of operational excellence. Finally, you’ll explore advanced concepts such as Athena Query Federation and Athena ML to generate powerful insights without needing to touch a single server.By the end of this book, you’ll be able to build and use a data lake with Amazon Athena to add data-driven features to your app and perform the kind of ad hoc data analysis that often precedes many of today’s ML modeling exercises.What you will learnSecure and manage the cost of querying your dataUse Athena ML and User Defined Functions (UDFs) to add advanced features to your reportsWrite your own Athena Connector to integrate with a custom data sourceDiscover your datasets on S3 using AWS Glue CrawlersIntegrate Amazon Athena into your applicationsSetup Identity and Access Management (IAM) policies to limit access to tables and databases in Glue Data CatalogAdd an Amazon SageMaker Notebook to your Athena queriesGet to grips with using Athena for ETL pipelinesWho This Book Is ForBusiness intelligence (BI) analysts, application developers, and system administrators who are looking to generate insights from an ever-growing sea of data while controlling costs and limiting operational burden, will find this book helpful. Basic SQL knowledge is expected to make the most out of this book.Table of ContentsYour First QueryIntroduction to Amazon AthenaKey Features, Query Types, and FunctionsMetastores, Data Sources, and Data LakesSecuring Your DataAWS Glue and AWS Lake FormationAd Hoc AnalyticsQuerying Unstructured and Semi-Structured DataServerless ETL PipelinesBuilding Applications with Amazon AthenaOperational Excellence - Maintenance, Optimization, and TroubleshootingAthena Query FederationAthena UDFs and MLLake Formation – Advanced Topics
| Publisher | Packt Publishing |
| Publication date | November 19, 2021 |
| Language | English |
| Print length | 388 pages |
| ISBN-10 | 1800562349 |
| ISBN-13 | 978-1800562349 |
| Item Weight | 1.65 pounds (750 grams) |
| Dimensions | 7.5 x 0.99 x 9.25 inches (19.1 x 2.5 x 23.5 cm) |
Who Should Buy?
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Data Analysts
Perfect for data analysts who need to quickly query data without managing any infrastructure.
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Small Businesses
Ideal for small businesses seeking cost-effective data analytics solutions without heavy investments in infrastructure.
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Developers
Great for developers who require fast, flexible querying capabilities integrated easily into applications.
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Heavy Duty Analysis
Not suitable for organizations that require extensive data processing capabilities beyond basic querying functionalities.
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características y beneficios
- Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure
- Build and tune an S3 Data Lake using Athena
- Ad hoc data analysis, ETL pipelines, and customizable connectors
- Secure and manage the cost of querying your data
- Integrate Amazon Athena into your applications
- Suitable for BI analysts, developers and system administrators with basic SQL knowledge
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