4 mistakes to avoid when building lakehouse based solutions on AWS

Author: Igor Royzis Mistake #1 Dumping all your data in S3 without a well designed data lake partitioning that supports your organization’s needs We’ve all heard the saying “store all data all the time in your data lake” or something of that nature. Well, it’s true, this approach may give organizations immediate access to all […]

AWS Data & Analytics Architecture Best Practices

Author: Igor Royzis “Best practice is a procedure that has been shown by research and experience to produce optimal results and that is established or proposed as a standard suitable for widespread adoption” – Merriam-Webster Dictionary Data, Analytics, Web & Mobile on AWS Here is how your architecture would look like on AWS if you […]