Data1984 – Telegram
Data1984
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This channel is mostly about data related stuff, some of the main topics are #DataEngineering #SQL #Python #cloud .

Contact: @gorros
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Some important updates from #AWS :
Amazon Kinesis Data Streams enables data stream retention up to one year.
Now you can export your Amazon DynamoDB table data to your data lake in Amazon S3 to perform analytics at any scale.
Amazon Redshift now supports modifying column compression encodings to optimize storage utilization and query performance
Amazon Athena announces availability of engine version 2
➡️ Discover the new syntax for implicits in #Scala 3.

➡️ Learn how to express extension methods, implicit parameters, implicit conversions, and typeclasses in #Scala 3!

https://t.co/BYFnTVc3yh
#AWS updates:
Amazon EMR now provides up to 35% lower cost and up to 15% improved performance for Spark workloads on Graviton2-based instances
AWS Glue Streaming ETL jobs support reading records in the Apache Avro format
Control the evolution of data streams using the AWS Glue Schema Registry
Forwarded from VG Recruiting Agency (IT) (Вазген Галоян)
Talkdesk is looking for a savvy Senior Data Engineer (REMOTE).

Վերջնաժամկետ 28.12.2020

Այս և մնացած բոլոր աշխատատեղերի մասին ամբողջական տեղեկատվություն կարող եք ստանալ մեր կայքից անցնելով հետևյալ հղումով `

https://www.talkdesk.com/careers/td/remote/engineering/senior-data-engineer-2445777?gh_jid=2445777
Here are some major updates for Lambda which probably will make you rethink your serverless architecture 😉
#reInvent #AWS #Lambda
New for AWS Lambda – Container Image Support
New for AWS Lambda – 1ms Billing Granularity Adds Cost Savings
New for AWS Lambda – Functions with Up to 10 GB of Memory and 6 vCPUs
#reInvent
Amazon S3 Update – Strong Read-After-Write Consistency:
Effective immediately, all S3 GET, PUT, and LIST operations, as well as operations that change object tags, ACLs, or metadata, are now strongly consistent!
This is especially import if you are using S3 as a Data Lake and process data via EMR.