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Enabling privacy and choice for customers in data system design

Lacework

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. The data replication may be performed leveraging the warehouse recovery tool, which is performed over a secure infrastructure using end to end encryption.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

There are many articles that point to the explosion of data, but in order for that data that be useful for analytics and ML, it has to be collected, transported, cleaned, stored, and combined with other data sources. AI and Data technologies in the cloud. Building a Serverless Big Data Application on AWS”.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. He is the recipient of the 2018 NAE Charles Stark Draper Prize for Engineering and the 2017 IET Faraday Medal. Furthermore, Microsoft has recognized him as Microsoft Azure MVP for the past eleven years.

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Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. Data engineer. Data scientists.