SAP Datasphere + BDC Masterclass|Hands on Training [Updated]

Explore the SAP BDC cockpit, activate data packages in a 30-day trial, and install data products into data sphere via catalog and marketplace, using system landscape and replication options.

Understand the one domain model ODM as a central data model that harmonizes SAP data across systems, and see how BDC creates a single data product from S4HANA and SuccessFactor.

Package raw data with business context into standardized, metadata-rich data products—reusable and ready for consumption—harmonized across SAP sources via ODM and usable in data sphere and Databricks.

Activate prebuilt AI-powered intelligent apps from the catalog to gain insights and KPI tracking for SAP processes. Apps replicate data, build models, and provide dashboards and predictive models in SAP.

Explore how an intelligent app in SAP Datasphere activates data packages, workspaces, and models to deliver a live SSE dashboard with KPIs from S4 HANA.

Learn how to extend SAP intelligent applications with intelligent application extensions, including copying reports, enhancing visuals, or rebuilding on a new model to preserve upgrades.

Discover how SAP data sphere sits at the center of SAP BDC, ingests and harmonizes data from SAP and non-SAP sources into spaces, enabling modeling and reporting.

Get a quick overview of SAP data sphere within the SAP BDC environment, explore the landing page, data builder, and space management for creating spaces, models, and analytics.

Navigate the SAP DWC/Datasphere interface, explore the landing page, spaces management, repository explorer, and apps; configure data provisioning, security, and connections between analytics and host clouds.

Create and manage a data warehouse cloud workspace by setting up a space, configuring storage and memory, adding users, deploying, and monitoring space status.

Explore the new flat design for spaces, navigate the updated layout, create spaces, select multiple spaces and delete, and note the removal of hibernation as part of the changes.

Explore semantics in SAP data warehouse cloud, focusing on relational datasets, dimensions, measures, and text to structure tables, views, and business builder assets for analytical reporting.

Learn how to create tables in the data builder, define columns and a primary key, choose relational datasets, deploy the table, and preview data.

Create and load tables using csv file uploads, data editor, and CSP options; deploy, import, and export table structures and data for SAP DWC/Datasphere.

Create graphical views in the data builder by dragging tables, joining data, projecting fields, adding calculated and aggregate columns, and enabling persistence and access controls for cloud data.

Explore graphical view and skill view in data builder to create and format SQL queries, view data, and build joins across tables.

Create and connect tables to build an entity relationship model that maps relationships, supports views and mappings, and serves as a design canvas for data pipelines and system design.

Learn to use the content network to accelerate data creation with samples, business content, and third-party models. Create a content space, import objects, deploy them, and load data.

Deploy tables, load CAC files, and map relationships between sales, business partners, products, and categories to build a relational dataset for SAP DWC in this hands-on session.

Create a graphical data model in Data Builder, connect sales order, business partner, and product tables, resolve errors, define a sales overview analytical dataset, and deploy for SSD consumption.

Learn to add a SAP Analytics Cloud tenant to Datasphere and switch between them by configuring the tenant URL and app integration URL.

Connect to SAP Data Warehouse Cloud from SAC using Data Builder II, configure a DWC connection, and consume DWC views in stories to build charts with measures and dimensions.

in data builder ii, attach text as labels to columns using product descriptions or company names. configure display options to show labels in stories.

Create a modular data model by wrapping product and dimensions into reusable components, attaching product category and business partner dimensions to build scalable analytical datasets.

Build product and category dimensions, attach them to transaction data, and expose descriptions with product and category text views in a graphical, data set driven model.

Learn advanced data building in SAP DWC/Datasphere Masterclass, connecting product and category through views and mappings, while managing column mappings, runtime joins, and text entity considerations.

Attach business partner as a dimension, upload address data, and build a geo-enabled view in SAP DWC/Datasphere; deploy and visualize locations using latitude and longitude on a map.

Create a level-based hierarchy in SAP DWC using address data to organize business partners by region, country, and city, deploy and refresh to reflect in the dashboard.

Explore how to create time data in SAP DWC: generate a timetable and time dimensions from year to month, map calendar levels, and deploy time options for accurate dashboards.

Master advanced data building by applying input parameters to filter views in SAP DWC/Datasphere, assign default values, and preview category-specific results.

Learn to implement data access control in sap dwc by creating an allowed-values table, attaching a data access control, and restricting data by user or region.

Learn how intelligent lookup enhances data cleaning by matching records using exact and fuzzy rules, deploying lookups, handling unmatched records, and refining rules to improve accuracy.

Learn how to configure a new replication flow in data builder to copy selected tables from source to target, with initial and delta load options, projections, and mappings.

Learn how data flow in data builder moves data from source to target, applying joins, projection, aggregation, and Python script transforms, then deploy, schedule, and monitor the flow.

Create a new transformation flow with delta capture to track inserts, updates, and deletes, then compare graphical and SQL view transforms for initial and delta loads.

Differentiate replication, transformation flow, and data flow to balance fast data and real-time needs with complex logic and Python options, and sending data out of data sphere.

Create and deploy a task chain in data builder by dragging tasks, enabling parallel branches, and applying all or any completion rules to control execution.

Explore how business builder separates business and data layers, enabling business users and data engineers to collaborate via star schemas, perspectives, and consumption model.

Explore how the business builder enables business users to create dimensions, analytical data sets, and fact models, while data engineers supply the data builder and consumption models.

Create a new dimension in business builder, defining attributes, keys, and auxiliary properties with public access and perspectives. Treat dimensions as master data to attach to transaction and analytical data.

Create product category and business partner dimensions, define attributes, and prepare a transaction data workflow to build an analytical dataset for sales reporting.

Create an article dataset by building a data view that joins item and sales data, defines measures, and uses associations with product view, business partner, and product category.

Master the creation of time dimensions, analytical data sets, and consumption models in SAP DWC, deploy them, and use perspectives and measures in SSD dashboards.

Build fact model and consumption model using article dataset, surrounding the fact with dimensions to form a star schema, and expose sources and perspectives for analysis.

Learn to build reusable analytics with a fact model on top of article datasets and consumption models, creating calculated measures that apply across multiple consumption views.

Build data access control by deploying a data access controller table, creating an alteration scenario to restrict business partner data in the business partner view.

Identify the analytical model within the data builder, and explore using article model as the main consumption path to SE, with phase two enhancements planned for 2023.

Explore building analytical article model in data builder from an analytical dataset, adding measures and dimensions, and configuring calculated and restricted measures such as profit, net amount, and delivery status.

Create a Google Cloud Platform login and activate a 90-day free trial with $300 credit, detailing how to sign up, provide country and payment information, and start using GCP services.

Explore setting up a DWC / datasphere connection to Google Cloud BigQuery, creating a project and service account, generating a key, uploading certificates, and validating access.

Connect to a GCP source in SAP DWC and fetch data from cloud by uploading to BigQuery, auto-detecting schema and previewing results. Manage data with snapshots, schedules, and real-time access.