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O`REILLY – Meet the Expert Thorr Giddings on Dotnet Modernization Techniques and Tooling on Aws-iLLiTERATE
English | Size: 590.92 MB
Category: Tutorial
To take full advantage of cloud economics, organizations are modernizing their Windows workloads using a combination of rehosting, replatforming, and refactoring approaches. [Read more…]
O’Reilly – Meet the Expert How Ai Will Change Our World by 2041 With Kai-fu Lee and Tim O’Reilly –iLLiTERATE
English | Size: 903.09 MB
Category: Tutorial
AI is poised to enter into our daily lives on a much bigger scale than ever before, touching everything from education to medicine to entertainment. [Read more…]
O’Reilly – Meet the Expert Alexandra Damsker on Building the Future of Fintech With Decentralized Finance-iLLiTERATE
English | Size: 747.56 MB
Category: Tutorial
Already a rapidly growing field in fintech, decentralized finance (DeFi) has exploded in the last year, growing from a market cap of $700 million in December 2019 to $100 billion as of April 29, 2021. [Read more…]
O’Reilly – Meet the Expert: JJ Asghar on Migrating a Monolith to Cloud Native -iLLiTERATE
English | Size: 681.94 MB
Category: Tutorial
Sponsored by IBM
Moving to a cloud native ecosystem offers many benefits, from cost savings to scalability. [Read more…]
O’Reilly – Meet the Expert Wes Mckinney on Scalable Python You Can Afford-iLLiTERATE
English | Size: 896.48 MB
Category: Python
Join us for this edition of Meet the Expert with Apache Arrow cocreator Wes McKinney to learn considerations and best practices for distributed Python at scale-in a cost-effective way. [Read more…]
Oreilly Meet the Expert Jennifer Yang on Applying Machine Learning Techniques for Data Quality Management REPACK-QUiD
English | Size: 1.21 GB
Category: Tutorial
Traditional rule-based data quality management methodology is costly and hard to scale in the big data environment. It requires subject matter experts within business, data and technology domains. Machine learning techniques for data quality management enable cost-effective and scalable ways to manage data quality for a large amount of data. This presentation will discuss a use case that demonstrates how machine learning techniques can be used in data quality management on a big data platform in the financial industry [Read more…]