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Leveraging Real-Time Insights: Optimizing Financial Services with Amazon Timestream

Lv200

Lv200

8/24/2024 03:20 (UTC)
Session Info

Feeling the pressure to make data-driven decisions in a fast-paced financial landscape?

This session explores the power of Amazon Timestream for real-time data analysis in the financial services industry.

We'll navigate the Timestream options - LiveAnalytics and InfluxDB - and delve into a specific use case.

Discover how Timestream can transform your financial operations by enabling real-time analysis of market data streams, optimizing trading strategies, and unlocking valuable insights for informed decision-making.

We'll showcase how Timestream empowers financial institutions to gain a competitive edge through faster data processing and superior market responsiveness.

Adit Modi

Adit Modi

- AWS Community Builders -

- AWS Ambassadors(APN) -

- AWS All Certified Engineers(APN) -

- AWS Gold Jacket Members(APN) -

Session Category
Analysis
Business applications
Database
AWS Services
Timestream
Session Materials
    Session Archive
    Session Summary (by Amazon Bedrock)
      This session focuses on time series databases, particularly Amazon Timestream. Key points include: 1. Time series databases store data indexed by time, useful for stock prices, health data, etc. 2. Characteristics: high write rates, real-time data generation, and data rarely updated after insertion. 3. Requirements: high ingestion rates and query performance. 4. Trends: increasing use due to IoT and machine learning. 5. Amazon Timestream offers two options: live analytics and historical data storage. 6. Use cases include financial services, IoT, and industrial telemetry. 7. Key takeaways: understand if time series databases suit your application, compare Amazon Timestream with open-source alternatives, and consider scalability needs.

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