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[Audio] Hi, In this video you will hear about a revolutionizing technology that is SAP HANA Cloud..

[Audio] So, What is SAP HANA Cloud? At it's core, SAP HANA Cloud is an advanced in-memory database platform, a cloud-based offering designed to unlock the power of real-time analytics and application development, Which provides a single place to access, store, and process all enterprise data in real time. It also provides all of the advanced SAP HANA technologies for multi-model data processing in-memory or on disk..

Architecture Diagram. SAP ANALYTICS CLOUD SAP DATA WAREHOUSE CLOUD SAP BUSINESS APPLICATIONS SAP HANA CLOUD SMART MULTI-MODEL VIRTUAL ACCESS TRUSTED SAP HANA Database Native Storage Extension Data Lake Structured I Files REPLICATION TRUSTED THIRD PARTY APPLICATIONS 3RD-PARTY ETL ELAST'C SAP Applications Non-SAP Applications Data Stores.

Manage your data platform Store, process, and federate data to run powerful applications all within a single cloud solution. Access on-premise and cloud data sources directly from SAP HANA Cloud to ease the integration of diverse storage landscapes and run hybrid landscapes. Manage less-frequently accessed data Leverage cost-effective storage options for less-frequently accessed data through multiple storage tiers (for example, disk storage and data lake) that offer simplified data movement. Process multi-model data Access, manipulate, and analyze spatial data using various data types, methods, and constructors. Model different networks and linked data coming from various industries, and analyze relationships and dependencies. Apply advanced analytics Benefit from embedded machine learning and predictive libraries that allow you to apply advanced analytics to your data..

Protect sensitive and confidential data Use enhanced data privacy features such as data masking and data anonymization to protect sensitive data, and selectively share valuable information within business processes and applications. Store and access data in a data lake Use SAP HANA Cloud, data lake to analyze petabyte volumes of relational data and store structured, semi-structured, and unstructured data as files in the data lake. Scale elastically to match system load Elastically scale your compute and storage resources and access your data according to the business needs for performance, data volume, and cost..

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