The Future Of Data, Analytics, and Machine Learning | Highlights from Re:Invent 2022
The landscape of data, analytics and machine learning is constantly in flux. It’s a hugely competitive landscape which sees vendors of all shapes and sizes compete for a slice of a market which is now estimated to be worth a staggering USD 41.39 billion last year. And, if that’s not a big enough number to get your head around just wait until you hear how much it's predicted to be worth in 2030; USD 364.33 billion! Crazy.
➡️ AWS re:Invent held towards the very end of 2022 where Amazon came to the xmas party early with a flurry of interesting announcements. In this article I’ll pick the key ones which stood out to me. AWS has such a large footprint that they hold a distinct level of influence over where the market may go next, so you can think of this as a barometer of sorts for how data and analytics capabilities may evolve over the next 12 months.
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🧭 Video Chapters:
00:00 Intro
1:17 AWS better together
04:24 Redshift
05:15 Redshift: Auto copy from AWS S3
06:00 Redshift: Zero ETL
07:06 Redshift: Multi-AZ support
07:45 Redshift: Dynamic data masking
08:35: Athena Serverless for Spark
10:00 AWS Glue Data Quality
11:18 Mastering Snowflake Program
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