AWS re:Invent 2019: [REPEAT 1] Deep dive into Amazon Athena (ANT307-R1)
When I query an Amazon Athena table that has defined partitions, zero records are returned
[AWS Black Belt Online Seminar]猫でもわかる、AWS Glue ETLパフォーマンス・チューニング 前編😺
How to Query Your DynamoDB Table with SQL using Athena
Building Your Data Project on AWS
AWS Glue PySpark: Change Column Data Types
AWS Glue Data Catalog as the centralized metastore for Athena & PySpark from EMR
🔴 Creating Athena Tables (2) • New Tools and Libraries • AWS Mobile Analytics • AWS Unity • (Pt. 80)
Building a Data Lake on AWS with Apache Airflow
Build An AWS Data Pipeline using Ec2, Kinesis, Lambda, S3, OpenSearch, and Quicksight
Real Life AWS Application Architecture Example - Streaming Airline Data
Event driven Architecture AWS | Stream S3 event data to Kinesis | Ingest data with Lambda & DynamoDB
AWS Athena Partitions with Lambda Function | Automatically Load Partitions | Athena + Lambda + S3
【AWS Black Belt Online Seminar】Amazon Forecast
【AWS Black Belt Online Seminar】小売現場のデータを素早くビジネスに活用するAWSデータ基盤
AWS re:Invent 2021 - DynamoDB deep dive: Advanced design patterns
AWS re:Invent 2018: Data Lake Implementation: Processing & Querying Data in Place (STG204-R1)
민첩하고 비용효율적인 Data Lake 구축 - 문종민 (AWS 솔루션즈 아키텍트)
AWS re:Invent 2017: Big Data Breakthroughs: Process and Query Data In Place with Ama (STG313)
Live Coding - From Kafka Streams to REST APIs in minutes