SLC .Net User Group -- .Net, Kinesis Firehose, Glue, Athena

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SLC .Net User Group -- .Net, Kinesis Firehose, Glue, Athena A presentation on using AWS Kinesis, Glue, and Athena with .Net for modern data ingestion and ETL.

Technology

Realtime Data Analysis with .Net,
AWS Kinesis, Glue, and Athena
SLC .Net User Group

May 14, 2020

Tim Collinson
TEKsystems Global Services

Practice Architect

DevOps and Cloud Practice

tcollinson@teksystems.com

https://linkedin.com/in/tcollinson

Important Links
Code Samples and These Slides:
https://bit.ly/dotnetug-kinesis
https://gitlab.com/trcollinson/dotnet-kinesis-example

AWS Kinesis
• Kinesis Video Streams — Capture, Store, and Process Streaming Media
for Playback and Analytics.

• Kinesis Data Streams — Capture, Store, Process, and Analyze Streaming
Data.

• Kinesis Data Analytics — Actionable Insights from Steaming Data in Real-
Time

• Kinesis Data Firehose —Collect, Transform, and Load Streaming Data!

AWS Kinesis
• Kinesis Video Streams — Camera and image feeds captured in real time,
stored, processed, and analytics available. Auto scaling, no infrastructure
to manage.

• Kinesis Data Streams — A competitor to Kafka for steaming data. Allow
for real time production and consumption of data in a streaming ﬂow.

• Kinesis Data Analytics —Built on top of Data Streams and helps to make
analytics available with sub-second latency. No infrastructure to manage.

• Kinesis Data Firehose —This talk is going to go into that!

AWS Kinesis Firehose
• Great for receiving a huge amount of data and storing it quickly and
eﬀectively.

• Powerful transformation abilities.

• Low cost: only pay for data ingestion cost and storage.

• Low barrier to entry!

AWS Glue
• AWS Glue: Fully managed ETL tool.

• ETL: Extract, Transform, Load.

• Prepare your data for Analytics!

AWS Glue
• Create a Database from the Data we have loaded.

• Transform that data into another format: Parquet.

• Prepare to use SQL to get our data back.

Parquet
• Apache Parquet!

• A column oriented data storage format.

• Part of the Apache Hadoop echo system.

AWS Athena
• Allows you to query and analyze data from S3 using Standard SQL!

• No new skills to learn.

• Out of the box integration with Glue Databases!

More to come!
Ask on LinkedIn, watch code repo, or
email me!
https://linkedin.com/in/tcollinson
tcollinson@teksystems.com
https://bit.ly/dotnetug-kinesis

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SLC .Net User Group -- .Net, Kinesis Firehose, Glue, Athena

1. Realtime Data Analysis with .Net, AWS Kinesis, Glue, and Athena SLC .Net User Group May 14, 2020

2. Tim Collinson TEKsystems Global Services Practice Architect DevOps and Cloud Practice tcollinson@teksystems.com https://linkedin.com/in/tcollinson

3. Important Links Code Samples and These Slides: https://bit.ly/dotnetug-kinesis https://gitlab.com/trcollinson/dotnet-kinesis-example

4. What is AWS Kinesis?

5. AWS Kinesis • Kinesis Video Streams — Capture, Store, and Process Streaming Media for Playback and Analytics. • Kinesis Data Streams — Capture, Store, Process, and Analyze Streaming Data. • Kinesis Data Analytics — Actionable Insights from Steaming Data in Real- Time • Kinesis Data Firehose —Collect, Transform, and Load Streaming Data!

6. AWS Kinesis • Kinesis Video Streams — Camera and image feeds captured in real time, stored, processed, and analytics available. Auto scaling, no infrastructure to manage. • Kinesis Data Streams — A competitor to Kafka for steaming data. Allow for real time production and consumption of data in a streaming ﬂow. • Kinesis Data Analytics —Built on top of Data Streams and helps to make analytics available with sub-second latency. No infrastructure to manage. • Kinesis Data Firehose —This talk is going to go into that!

7. Let’s create a Kinesis Firehose!

8. AWS Kinesis Firehose • Great for receiving a huge amount of data and storing it quickly and eﬀectively. • Powerful transformation abilities. • Low cost: only pay for data ingestion cost and storage. • Low barrier to entry!

9. A note on S3 and Permissions

10. What is AWS Glue?

11. AWS Glue • AWS Glue: Fully managed ETL tool. • ETL: Extract, Transform, Load. • Prepare your data for Analytics!

12. AWS Glue • Create a Database from the Data we have loaded. • Transform that data into another format: Parquet. • Prepare to use SQL to get our data back.

13. Let’s create a Glue Database!

14. What is Parquet?

15. Parquet

16. Parquet

17. Parquet • Apache Parquet! • A column oriented data storage format. • Part of the Apache Hadoop echo system.

18. A note on Glue and Costs

19. What is AWS Athena?

20. AWS Athena • Allows you to query and analyze data from S3 using Standard SQL! • No new skills to learn. • Out of the box integration with Glue Databases!

21. Let’s query using Athena!

22. Question Tim… Question Time!

23. More to come! Ask on LinkedIn, watch code repo, or email me! https://linkedin.com/in/tcollinson tcollinson@teksystems.com https://bit.ly/dotnetug-kinesis

SLC .Net User Group -- .Net, Kinesis Firehose, Glue, Athena

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