Google Cloud’s Guide to Data Analytics and Machine Learning is designed to help you do just that. It outlines each stage of the data management cycle, including:
Cloud storage and data warehousing
Real-time data integration
Machine learning and AI
Drawing from new research and Google’s own contributions to the field, the guide aims to answer critical questions such as:
How can companies capture raw data in order to answer future business questions?
What should they do with unstructured data, such as images, system logs, and chat transcripts?
How can they easily handle data streaming in real time?
What are some best practices for disseminating information to developers, data scientists, and business users?
The techniques and technologies described in this guide can help you get more value from your data through real-time analytics — and, ultimately, take the first steps toward harnessing machine learning and artificial intelligence. To get started, access Google Cloud’s complete guide.