Data Lake or Data Swamp?

AWS Developers · Intermediate ·🔄 Data Engineering ·9mo ago

Key Takeaways

Amazon S3 Tables solves common data lake problems using Apache Iceberg, handling schema evolution, ACID transactions, time travel queries, and file compaction automatically, integrating with various analytics tools like Attina, Red Shift, and EMR.

Full Transcript

Tired of your data leaks feeling more like data swamp? Let me show you four data problems that Amazon S3 tables can solve for you in minutes, not months. Problem one, change a column schema and boom, everything breaks. With extra tables using Apache iceberg, your schemas evolve seamlessly. Add, remove, modify, whatever you need. Problem two, AC transactions in data legs used to be basically impossible. Estra Tables handles all your transactions with consistency guaranteed. Problem three, need to see your data from yesterday, last week, maybe last year. Time travel queries are built right in. It's like having a time machine for your data. And my personal favorite, automatic compaction. You have thousands of tiny files, slow query performance. Estra Tables automatically optimizes everything behind the scenes. It's pure magic. But wait, sounds hard to manage, right? wrong. Amazon Estra Tables handles all the heavy lifting, compaction, optimization, maintenance. It is completely automated for you, but it also integrates seamlessly with Attina, Red Shift, EMR, your entire analytics stack. Ready to build data links without headaches? Check the description to get ready with S3 tables today.

Original Description

Tired of your data lake feeling more like a swamp? Amazon S3 Tables solves schema evolution, ACID transactions, time travel queries, and file compaction automatically. Built on Apache Iceberg with seamless integration across your analytics stack! #BigData #DataAnalytics #AmazonS3 #ApacheIceberg
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from AWS Developers · AWS Developers · 0 of 60

← Previous Next →
1 Using Microsoft Active Directory across On-premises and Cloud Workloads
Using Microsoft Active Directory across On-premises and Cloud Workloads
AWS Developers
2 What is Cloud Computing with AWS? | Hebrew Webinar
What is Cloud Computing with AWS? | Hebrew Webinar
AWS Developers
3 Best Practices for Getting Started with AWS | Hebrew Webinar
Best Practices for Getting Started with AWS | Hebrew Webinar
AWS Developers
4 Best Practices for Using AWS Identity and Access Management (IAM) Roles
Best Practices for Using AWS Identity and Access Management (IAM) Roles
AWS Developers
5 Building Scalable Web Apps | Hebrew Webinar
Building Scalable Web Apps | Hebrew Webinar
AWS Developers
6 Dev & Test on the AWS Cloud | Hebrew Webinar
Dev & Test on the AWS Cloud | Hebrew Webinar
AWS Developers
7 Storage & Backup on AWS | Hebrew webinar
Storage & Backup on AWS | Hebrew webinar
AWS Developers
8 Disaster Recovery on AWS | Hebrew Webinar
Disaster Recovery on AWS | Hebrew Webinar
AWS Developers
9 AWS Israel News  | Episode 1
AWS Israel News | Episode 1
AWS Developers
10 Security Best Practices on AWS | Hebrew Webinar
Security Best Practices on AWS | Hebrew Webinar
AWS Developers
11 Ready: Introduction to AI on AWS | Hebrew Webinar
Ready: Introduction to AI on AWS | Hebrew Webinar
AWS Developers
12 Set: What is ML for developers? | Hebrew Webinar
Set: What is ML for developers? | Hebrew Webinar
AWS Developers
13 Go!: Building your own ChatBot with Amazon Lex | Hebrew Webinar
Go!: Building your own ChatBot with Amazon Lex | Hebrew Webinar
AWS Developers
14 And Beyond: Amazon Sagemaker | Hebrew Webinar
And Beyond: Amazon Sagemaker | Hebrew Webinar
AWS Developers
15 Building API-Driven Microservices with Amazon API Gateway - AWS Online Tech Talks
Building API-Driven Microservices with Amazon API Gateway - AWS Online Tech Talks
AWS Developers
16 Understanding AWS Secrets Manager - AWS Online Tech Talks
Understanding AWS Secrets Manager - AWS Online Tech Talks
AWS Developers
17 Best Practices for Building Enterprise Grade APIs with Amazon API Gateway - AWS Online Tech Talks
Best Practices for Building Enterprise Grade APIs with Amazon API Gateway - AWS Online Tech Talks
AWS Developers
18 Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks
Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks
AWS Developers
19 AWS Israel News | Episode 2 | re:Invent
AWS Israel News | Episode 2 | re:Invent
AWS Developers
20 AWS Floor28 News - January
AWS Floor28 News - January
AWS Developers
21 AWS Floor28 News - February - Hebrew
AWS Floor28 News - February - Hebrew
AWS Developers
22 AWS Floor28 News - March - Hebrew
AWS Floor28 News - March - Hebrew
AWS Developers
23 AWS Floor28 News - April - Hebrew
AWS Floor28 News - April - Hebrew
AWS Developers
24 AWS Floor28 News - May - Hebrew
AWS Floor28 News - May - Hebrew
AWS Developers
25 Authentication for Your Applications: Getting Started with Amazon Cognito - AWS Online Tech Talks
Authentication for Your Applications: Getting Started with Amazon Cognito - AWS Online Tech Talks
AWS Developers
26 AWS Floor28 News - June - Hebrew
AWS Floor28 News - June - Hebrew
AWS Developers
27 AWS Floor28 News - July - Hebrew
AWS Floor28 News - July - Hebrew
AWS Developers
28 Enriching your app with Image Recognition and AWS AI Services - AWS Webinar - Hebrew
Enriching your app with Image Recognition and AWS AI Services - AWS Webinar - Hebrew
AWS Developers
29 Personalize, Forcast, and Textract - AWS Webinar - Hebrew
Personalize, Forcast, and Textract - AWS Webinar - Hebrew
AWS Developers
30 Managing Your ML Development Lifecycle with Amazon SageMaker - AWS Webinar - Hebrew
Managing Your ML Development Lifecycle with Amazon SageMaker - AWS Webinar - Hebrew
AWS Developers
31 Running your ML code in Amazon Sagemaker - AWS Webinar - Hebrew
Running your ML code in Amazon Sagemaker - AWS Webinar - Hebrew
AWS Developers
32 Get Started in Minutes with Amazon Connect in Your Contact Center - AWS Online Tech Talks
Get Started in Minutes with Amazon Connect in Your Contact Center - AWS Online Tech Talks
AWS Developers
33 AWS Floor28 News - August - Hebrew
AWS Floor28 News - August - Hebrew
AWS Developers
34 AWS Floor28 News - September - Hebrew
AWS Floor28 News - September - Hebrew
AWS Developers
35 Deep Dive on Amazon EventBridge - AWS Online Tech Talks
Deep Dive on Amazon EventBridge - AWS Online Tech Talks
AWS Developers
36 Advanced Serverless Orchestration with AWS Step Functions - AWS Online Tech Talks
Advanced Serverless Orchestration with AWS Step Functions - AWS Online Tech Talks
AWS Developers
37 Living on the Edge - an Introduction to  Amazon CloudFront and Lambda@Edge  - Hebrew Webinar
Living on the Edge - an Introduction to Amazon CloudFront and Lambda@Edge - Hebrew Webinar
AWS Developers
38 AWS Floor28 News - October - Hebrew - YouTube
AWS Floor28 News - October - Hebrew - YouTube
AWS Developers
39 What's New with AWS Storage - AWS Online Tech Talks
What's New with AWS Storage - AWS Online Tech Talks
AWS Developers
40 How to Build a Compelling Migration Business Case Using TSO Logic - AWS Online Tech Talks
How to Build a Compelling Migration Business Case Using TSO Logic - AWS Online Tech Talks
AWS Developers
41 Configuring and Managing Amazon S3 Replication - AWS Online Tech Talks
Configuring and Managing Amazon S3 Replication - AWS Online Tech Talks
AWS Developers
42 AWS Floor28 News - November - Hebrew
AWS Floor28 News - November - Hebrew
AWS Developers
43 Using Relational Databases with AWS Lambda - Easy Connection Pooling - AWS Online Tech Talks
Using Relational Databases with AWS Lambda - Easy Connection Pooling - AWS Online Tech Talks
AWS Developers
44 AWS Floor28 News - December 2019 - Hebrew
AWS Floor28 News - December 2019 - Hebrew
AWS Developers
45 AWS Floor28 News - January 2020 - Hebrew
AWS Floor28 News - January 2020 - Hebrew
AWS Developers
46 Top 10 Data Migration Best Practices - AWS Online Tech Talks
Top 10 Data Migration Best Practices - AWS Online Tech Talks
AWS Developers
47 How to Use Azure Active Directory with AWS SSO - AWS Online Tech Talks
How to Use Azure Active Directory with AWS SSO - AWS Online Tech Talks
AWS Developers
48 AWS Tips & Tricks - Amazon Redshift Advisor - Hebrew
AWS Tips & Tricks - Amazon Redshift Advisor - Hebrew
AWS Developers
49 AWS Tips & Tricks - Amazon Redshift Elastic Resize - Hebrew
AWS Tips & Tricks - Amazon Redshift Elastic Resize - Hebrew
AWS Developers
50 AWS Tips & Tricks - Amazon Redshift Spectrum - Hebrew
AWS Tips & Tricks - Amazon Redshift Spectrum - Hebrew
AWS Developers
51 AWS Tips & Tricks - Savings Plans & Cost Explorer - Hebrew
AWS Tips & Tricks - Savings Plans & Cost Explorer - Hebrew
AWS Developers
52 AWS Tips & Tricks - Amazon Redshift Concurrency Scaling - Hebrew
AWS Tips & Tricks - Amazon Redshift Concurrency Scaling - Hebrew
AWS Developers
53 AWS Tips & Tricks - Training Models with Amazon SageMaker - Hebrew
AWS Tips & Tricks - Training Models with Amazon SageMaker - Hebrew
AWS Developers
54 AWS Tips & Tricks - Auto Model Tuning with Amazon SageMaker - Hebrew
AWS Tips & Tricks - Auto Model Tuning with Amazon SageMaker - Hebrew
AWS Developers
55 AWS Tips & Tricks - Amazon Comprehend - Hebrew
AWS Tips & Tricks - Amazon Comprehend - Hebrew
AWS Developers
56 Understanding High Availability and Disaster Recovery Features for Amazon RDS for Oracle
Understanding High Availability and Disaster Recovery Features for Amazon RDS for Oracle
AWS Developers
57 Amazon Forecast  – Forecasting  - From Months to Days (Hebrew)
Amazon Forecast – Forecasting - From Months to Days (Hebrew)
AWS Developers
58 Visualize your data with Amazon QuickSight (Hebrew)
Visualize your data with Amazon QuickSight (Hebrew)
AWS Developers
59 Amazon Kendra (Hebrew)
Amazon Kendra (Hebrew)
AWS Developers
60 AWS Floor28 News - AI/ML Special Edition
AWS Floor28 News - AI/ML Special Edition
AWS Developers

Amazon S3 Tables solves common data lake problems like schema evolution and file compaction, and integrates seamlessly with various analytics tools, making it easy to build and manage data lakes without headaches. With S3 Tables, you can evolve your schemas seamlessly, handle ACID transactions, and perform time travel queries. The automated compaction and optimization features ensure fast query performance and efficient data storage.

Key Takeaways
  1. Identify data lake problems like schema evolution and file compaction
  2. Use Amazon S3 Tables to solve these problems
  3. Integrate S3 Tables with analytics tools like Attina, Red Shift, and EMR
  4. Configure automatic compaction and optimization
  5. Perform time travel queries and ACID transactions
  6. Monitor and maintain your data lake
💡 Amazon S3 Tables automates many common data lake management tasks, making it easier to build and manage data lakes without headaches.

Related AI Lessons

How I built the OSS alternatives directory: GitHub ETL, Turso, and the UPSERT trap I hit
Learn how to build a data pipeline for an open-source alternatives directory using GitHub ETL, Turso, and Claude Haiku summaries
Dev.to · MORINAGA
Apache Iceberg in Production: Compaction, Catalogs, and the Pitfalls Nobody Warns You About
Learn how to use Apache Iceberg in production, including compaction, catalogs, and common pitfalls to avoid, to improve data engineering workflows
Dev.to · Gabriel Henrique
Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable
As a new data engineer, make the ETL pipeline testable to ensure data quality and reliability
Towards Data Science
From DataStage and Informatica to Databricks Medallion Architecture: Why Migration Is More Than Code Conversion
Learn how to migrate legacy ETL systems like DataStage to modern architectures like Databricks Medallion, and why it's more than just code conversion
Dev.to · Amit Kumar Singh
Up next
A Moment Frozen in Time | Arnav Iyengar | TEDxJenks Youth
TEDx Talks
Watch →