Скачать с ютуб LIVE SAP BW Data in SAP Analytics Cloud | SAP Analytics Cloud Data Analyzer | Consume SAP BW Live в хорошем качестве

LIVE SAP BW Data in SAP Analytics Cloud | SAP Analytics Cloud Data Analyzer | Consume SAP BW Live

The focus of this video is to explain the process involved in setting up a live connection to an on-premise SAP BW from SAP Analytics Cloud. The main feature of Live Data Connection is that the changes made to data in the on-premise data source are immediately reflected in the sap analytics cloud data analyzer, You can use direct reporting capability without creating the model or a story. You can apply filtering on the data and show descriptions instead IDs. Ideally, a direct connection type is recommended for users who do not want to set up a reverse proxy on their local network. Course Page https://anubhavtrainings.com/analytic... Join Our Telegram Channel : https://t.me/Anubhavlearningseries12 To join this course Email us on - [email protected] In this course of SAP Analytics Cloud You will be able to learn following topics unit wise as below UNIT-1: Overview and Positioning  Analytics Cloud Architecture Overview  SAC vs other BI tools  Benefits and core functionalities of SAC  Cloud vs On-Premise vs Hybrid  Analytics Cloud Client tools and Importance UNIT-2: Modelling  What is MODEL  Components of MODEL  Working with Dimension and Classification  Configuring Geo-Dimension  Working with Measures  Working with Transformations  Working with Variables  Data Blending UNIT-3: Business Intelligence  Designing SAC Stories  Working with Custom Templates  Working with Standard Templates  Working with Canvas-Responsive and Grid modes  Working with Designer (Builder panel, Styling Panel)  Filters in SAC  Query level filters  Story level filters  Page-level filters  Widget level filters  Advanced Filters  Linked Analysis  Hyperlinking  Conditional Formatting  Customizing Measures  Customizing Dimensions  Data blending  Working with Chart widget  Working with a Table widget  Working with Geo Map widget  R language basics  Generating R based Stories  Import data connection from Google drive UNIT-4 Augmented Analytics  What is Augmented Analytics  Smart Search  Smart Discovery  Smart Insights UNIT-5: Planning with SAC  How to develop planning data models in SAC  Understand measures, accounts, hierarchies, currency conversion  Manage versions of planning  Create planning stories  Planning functions – variance, forecast, version management  What if analysis  Allocations  Spreading and Distributions  Value Driver Tree- VDT  Data actions and insights  Live Data connection to BPC system  Collaboration UNIT-6: Analytics Designer  What is Analytics Designer  Difference between SAC Stories vs Analytics Designer  Analytics Designer overview and walkthrough  Outline, Designer, Error, and reference panels  Design mode vs Run mode vs View mode  Designing basic Analytic application  working with Container widgets  Implementing filters  working with Drop-down, Radio button, Checkbox components Analytics Cloud Training Technical https://www.anubhavtrainings.com/anal...  working with script variables  working with script objects  Configuring and implementing Dynamic Visibility  Implementing Hyperlinking and Explorer option  Using APIs to integration with Smart discovery, smart insights  Embedding the webpages inside the Analytic designer  Embedding SAC app inside other webpages  Live Data connection to Application Program ON HDB for integration  Close loop scenarios with OData Integration UNIT-7: Predictive Scenario  Predictive scenario overview  SAC Stories vs SAC Applications vs SAC Predictive  Working with Datasets, Variables  Understand Regression  Understand Logistic Regression, RoC Curves, AUC Curve  Model performance and Confusion Matrix  Profit Simulation for Classification  Implementing Classification Precative Model  Implementing Regression Predictive Model  Residual and MAPE Concept in Regression  Trend, Cycle, Residual and Variations concepts  Implementing a Time series Predictive Model  Generating predictive stories UNIT-8: Administration  SAC Administration Overview  Roles (Standard vs Custom)  Team  Users  Working with data loading and scheduling  Cloud connector  Analytics Cloud Agent UNIT-9: SAC Roadmap and Certification