Week 1-Welcome to the Course
Introduction to Designing Data Lakes in AWS
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Welcome to the Course
Meet the Instructors
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Course Feedback
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Pre-Course Survey
Week 1-Introduction to Data Lakes
Introduction to Week 1
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Why Data Lakes
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Characteristics of Data Lakes
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Data Lakes Components
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Data Lake Characteristics and Components
Comparison of a Data Lake to a Data Warehouse
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Data Lakes and Data Warehouses
Discussing Sample Data Lake Architectures
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Week 1-Week 1 Assessment
Mid-Course Survey
Week 2-AWS Data Related Services
Introduction to Week 2
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AWS Data Lake Related Services
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Amazon S3
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AWS Glue Data Catalog
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Amazon S3 and Glue Data Catalog
AWS Services Used for Data Movement
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Data Movement
AWS Services for Data Processing
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AWS Services for Analytics
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AWS Services for Predictive Analytics and Machine Learning
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EMR, Glue Jobs, Lambda, Kinesis Analytics, RedShift
Introduction to AWS LakeFormation
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AWS Lake Formation
Exercise Walkthrough
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Exercise: Creating an Amazon OpenSearch Service Cluster
Week 3-Ingesting the Rivers
Introduction to Week 3
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Use the Right Tool for the Job
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Understanding Data Structure and When To Process Data
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Data Streaming Ingestion With Kinesis Services
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Diving Deep on Amazon Kinesis
Batch Data Ingestion with AWS Transfer Family
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Batch Data Ingestion with AWS Snow Family
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Batch Data Ingestion with AWS Services
Data Cataloging
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Using Glue Crawlers
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The Importance of Data Cataloging
Reviewing the Ingestion Part in Data Lake Architectures
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Week 4-Processing Data in the Data Lake
Introduction to Week 4
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Data Prep and AWS Glue Jobs
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File Optimizations
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Using S3, Glue and Athena to Get Insights about NYC Taxi Data
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Columnar Data Formats and Amazon Athena Optimizations
Introduction to Data Lake Security
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Security and Compliance
Week 4-Data Visualization
The Power of Data Visualization
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Introduction to Amazon QuickSight
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Amazon QuickSight Demo
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Data visualization, Amazon QuickSight
Registry of Open Data on AWS
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Registry of Open Data
Exercise 3 Walkthrough
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Exercise: Processing
Week 4-Course Wrap Up
Course Wrap Up
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Post-Course Survey