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The impact of chatbots across industries is rapidly expanding. Companies are utilizing these conversational AI tools to automate e-commerce, provide customer support, and even streamline internal business processes. Companies want more efficient ways to connect with their users and provide superior customer service, and users want an easier yet effective way to get products, services or information they are interested in from companies. Chatbots serve both these needs. This is why it is so imperative that chatbots are effectively designed and rigorously tested in order to increase business efficiency and meet customer satisfaction.
This SpringML Whitepaper demonstrates the ability to transfer the data from SAP HANA to Google BigQuery. The Whitepaper includes information on SAP HANA integration design and solution architecture, implementation, types of loading, and worker mechanism and Cloud Dataflow.
Google’s BigQuery is an enterprise-grade cloud-native, serverless, fully managed, Petabyte scale, Data Warehouse as a Service. BigQuery is built on top of Dremel technology which has been in production internally in Google since 2006. Original Dremel papers were published in 2010 and Google Opened this technology as BigQuery to the public in 2011. This whitepaper provides guidelines and best practices for customers looking to leverage BigQuery to build a
Data Lake.
