We start our deep dive into Joe's favorite new book, Designing Data-Intensive Applications as Joe can't be stopped while running downhill, Michael might have a new spin on #fartgate, and Allen doesn't quite have a dozen tips this episode.
If you're reading this via your podcast player, you can always go to https://www.codingblocks.net/episode120 to read these show notes on a larger screen and participate in the conversation.
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- Come see Allen at NDC { London } for your chance to kick him in the shins, where he will be giving his talk Big Data Analytics in Near-Real-Time with Apache Kafka Streams. (ndc-london.com)
- John Deere – Customer Showcase: Perform Real-time ETL from IoT Devices into your Data Lake with Amazon Kinesis (YouTube)
- There's a new SSD sheriff in town and it's the Seagate Firecuda 520 with a reported maximum 5,000 MB/s sequential reads and 4,400 MB/s sequential writes!!! (Amazon)
- Seagate Firecuda 520 1TB NVMe PCIe Gen4 M.2 SSD Review (TweakTown)
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- Joe was a guest on The Waffling Taylors, episode 59. (wafflingtaylors.rocks)
Designing Data-Intensive Applications
About this book
What is a data-intensive application per the book?
Any application whose primary challenge is:
- The quantity of data.
- The complexity of the data.
- The speed at which the data is changing.
That's in contrast to applications that are compute intensive.
Buzzwords that seem to be synonymous with data-intensive
- NoSQL
- Message queues
- Caches
- Search indexes
- Batch / stream processing
This book is …
This book is NOT a tutorial on how to do data-intensive applications with a particular toolset or pure theory.
What the book IS:
- A study of successful data systems.
- A look into the tools / technologies that enable these data intensive systems to perform, scale, and be reliable in production environments
- Examini
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