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Computer Science - Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud

Description

Book Synopsis: All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from ingestion to activation in a cloud environment using real-world enterprise architectures. You'll learn how to transform, secure, and modernize familiar solutions like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. You'll learn how to: Design a modern and secure cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a cloud native/hybrid data platform Democratize access to enterprise data and govern how business teams extract insights and build AI/ML capabilities Enable your business to make decisions in real time using streaming pipelines Build an MLOps platform to move to a predictive and prescriptive analytics approach. Read more

Details

Are you ready to take your cloud architecture to the next level? Introducing "Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud", a comprehensive handbook that equips you with the knowledge and skills to design, build, and modernize data platforms in the cloud. With this book, authored by industry experts Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner, you'll learn how to harness the power of AWS, Azure, Google Cloud, Snowflake, and Databricks to drive data-driven decisions and elevate your enterprise intelligence.

Unlock the potential of cloud native data and machine learning platforms and empower your business to make faster, more accurate decisions. Transform your traditional data solutions, such as data warehouses and data lakes, into modern, secure, and efficient solutions in a cloud environment. With the latest AI/ML patterns, you'll gain unprecedented insights that will give you a competitive advantage in the marketplace.

With "Architecting Data and Machine Learning Platforms", you'll not only learn the technical know-how to design and build these platforms, but also discover how to democratize access to enterprise data. Empower your business teams to extract valuable insights and develop their own AI/ML capabilities. By consolidating your enterprise data and streamlining data access, you'll unlock a world of possibilities for innovation.

Are you ready to make real-time decisions using streaming pipelines? With this book, you'll learn how to build the necessary infrastructure and MLOps platforms to enable predictive analytics and prescriptive solutions. Stay ahead of the curve and guide your business towards a more data-driven future.

Don't miss out on this opportunity to become a cloud architect expert. Take the first step towards building data platforms that transform your business. Get your copy of "Architecting Data and Machine Learning Platforms" now and unlock the potential of cloud-based analytics!

Disclosure: I get commissions for purchases made through links in this website