Tabla de Contenidos: “…Chapter 7: Building the ML Workflow Using AWS Step Functions -- Technical requirements -- Building the state machine workflow -- Setting up the service permissions -- Creating an ML workflow -- Performing the integration test -- Monitoring the pipeline's progress -- Summary -- Section 4: Optimizing a Data-Centric Approach to Automated Machine Learning -- Chapter 8: Automating the Machine Learning Process Using Apache Airflow -- Technical requirements -- Introducing Apache Airflow -- Introducing Amazon MWAA -- Using Airflow to process the abalone dataset -- Configuring the MWAA prerequisites -- Configuring the MWAA environment -- Summary -- Chapter 9: Building the ML Workflow Using Amazon Managed Workflows for Apache Airflow -- Technical requirements -- Developing the data-centric workflow -- Building and unit testing the data ETL artifacts -- Building the Airflow DAG -- Creating synthetic Abalone survey data -- Executing the data-centric workflow -- Cleanup -- Summary -- Section 5: Automating the End-to-End Production Application on AWS -- Chapter 10: An Introduction to the Machine Learning Software Development Life Cycle (MLSDLC) -- Technical requirements -- Introducing the MLSDLC -- Building the application platform -- Examining the role of the application owner -- Examining the role of the platform engineers -- Examining the role of the frontend developers -- Examining ML and data engineering roles -- Creating a SageMaker Feature Store -- Creating ML artifacts -- Creating continuous training artifacts -- Understanding the security lens -- Securing the data -- Securing the code -- Securing the website -- Summary -- Chapter 11: Continuous Integration, Deployment, and Training for the MLSDLC -- Technical requirements -- Codifying the continuous integration stage -- Building the integration artifacts -- Building the test artifacts…”

Tabla de Contenidos: “…-- Caching data using Amazon ElastiCache -- Caching strategies -- Using Amazon CloudFront to cache data on edge locations -- Other services offering caching -- Summary -- Further reading -- Chapter 15: Blockchain - Who Watches the Watchmen? …”

Tabla de Contenidos: “…-- Understanding how AWS Nitro impacts container performance -- Learning about AWS container orchestrators -- Summary -- Part 2: Windows Containers on Amazon Elastic Container Service (ECS) -- Chapter 3: Amazon ECS - Overview -- Technical requirements -- Amazon ECS - fundamentals -- Amazon ECS - task networking -- Deploying an Amazon ECS cluster with Terraform -- Why Terraform? …”

Tabla de Contenidos: “…Preparing the Cloud9 environment -- Downloading the sample dataset -- Using AWS Deep Learning Containers to train an ML model -- Serverless ML deployment with Lambda's container image support -- Building the custom container image -- Testing the container image -- Pushing the container image to Amazon ECR -- Running ML predictions on AWS Lambda -- Completing and testing the serverless API setup -- Summary -- Further reading -- Part 2: Solving Data Engineering and Analysis Requirements -- Chapter 4: Serverless Data Management on AWS -- Technical requirements -- Getting started with serverless data management -- Preparing the essential prerequisites -- Opening a text editor on your local machine -- Creating an IAM user -- Creating a new VPC -- Uploading the dataset to S3 -- Running analytics at scale with Amazon Redshift Serverless -- Setting up a Redshift Serverless endpoint -- Opening Redshift query editor v2 -- Creating a table -- Loading data from S3 -- Querying the database -- Unloading data to S3 -- Setting up Lake Formation -- Creating a database -- Creating a table using an AWS Glue Crawler -- Using Amazon Athena to query data in Amazon S3 -- Setting up the query result location -- Running SQL queries using Athena -- Summary -- Further reading -- Chapter 5: Pragmatic Data Processing and Analysis -- Technical requirements -- Getting started with data processing and analysis -- Preparing the essential prerequisites -- Downloading the Parquet file -- Preparing the S3 bucket -- Automating data preparation and analysis with AWS Glue DataBrew -- Creating a new dataset -- Creating and running a profile job -- Creating a project and configuring a recipe -- Creating and running a recipe job -- Verifying the results -- Preparing ML data with Amazon SageMaker Data Wrangler -- Accessing Data Wrangler -- Importing data -- Transforming the data…”

Materias: “…Amazon Web Services (Firm)…”

Materias: “…Amazon Web Services (Firm)…”

Materias: “…Amazon Web Services (Firm)…”

Materias: “…Amazon Web Services (Firm)…”

Materias: “…Amazon Web Services (Firm)…”

Materias: “…Natural history Amazon River Region Periodicals…”

Materias: “…Sustainable development Amazon River Valley Periodicals…”

Materias: “…Mozos, Santiago de los, 1922-2001…”

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA