
Explore SAP data sphere and business data cloud through 40 hours of instruction on data integration, preparation, modeling, and reporting, including Databricks and Delta Lake concepts.
Understand the SAP BTP architecture and its five pillars, and learn to configure global accounts, subaccounts, and directories. Demonstrate subscribing to services like Data Sphere via the discovery center.
Set up free tier Datasphere and SAC instances in BTP, and explore a free trial in BDC, including Cloud Foundry enablement, subaccounts, spaces, and deployment steps.
Explore how to create a data sphere space in the SAP Datasphere, allocate resources, and manage users with scoped and custom roles to grant authorizations for development tasks.
Create and assign custom scope roles to users on specific spaces, defining viewer, modeler, and administrator privileges, then deploy to refresh access and unlock data builder and connections.
Learn the SAP business data cloud architecture, including the object store, data sphere, data products, and Databricks integration, for managing SAP and non-SAP sources.
Explore data integration overview and architecture in SAP Datasphere, covering spaces and roles, connections to S4 Hana, S3, and ADLS, remote tables, data flows, and replication flows.
Connect a Hana Cloud source to SAP Datasphere using cloud connector and data provisioning. Configure space management, import remote tables, and build data flows and replication flows.
Explore S/4 HANA to Data Sphere integration using cloud connector setup, enabling data flows, replication flows, and remote tables from Hana Cloud and on-premise systems, with architecture-focused guidance.
Configure the data provisioning agent and cloud connector to connect S/4 HANA to Data Sphere. Create remote tables, load data, and explore ETL, replication, and real-time options.
Learn S/4 HANA to data sphere integration using the CDC engine and resilient data buffer. Compare CDs views, ODC/ODP, and replication flows for BW, native HANA, and data sphere targets.
Discover how remote tables on S/4 ABAP CDS views are integrated within SAP Datasphere-BDC comprehensive training, enabling seamless data access and modeling.
Explore replication flows from S4 HANA CDS views to Data Sphere, using initial, delta, and delta-only options; configure CDS views, manage delta captures, and troubleshoot CDS view limitations.
Explore replication flows for SAP extractors to load data into data sphere, addressing primary key and delta limitations, and activation steps in RSA transactions.
Explore how to configure S/4 HANA CDS views delta replication using the CDC engine, from creating a custom CDS view to monitoring replication flows and loading into data sphere.
Explore ACC to Datasphere and BW to Datasphere integration, compare ACC and ABAP connections, and learn when replication flows are possible, DMIS add-in requirements, and delta capabilities.
Explore four BW to Datasphere integration scenarios—from lift-and-shift BW private cloud with data product generator, to BW bridge limitations, model transfer and semantic onboarding, ending with native BW connection.
Explore replication flow maintenance in SAP Datasphere, covering delta and initial loads, delta-only options, structural changes, and object-level monitoring, pause, and resume workflows.
Master replication flow maintenance and production support strategies within the SAP Datasphere-BDC training, Part 2, to ensure reliable data delivery and ongoing system stability.
Learn how a single CDS view drives two delta replication flows in SAP Datasphere with different intervals. The session covers per-flow RDBs, RMS, and the ABAP pipeline engine.
Connect Amazon S3 to SAP Datasphere using the pre-built S3 connector, configure access keys and IAM roles, and implement data flows or replication flows to ingest files from S3.
Learn to connect Azure data lake storage Gen2 to SAP Datasphere, create storage accounts, containers, and folders, and configure data flows and replication flows with proper schema and authentication.
Explore how generic OData and other APIs connect SAP applications to data in Datasphere, using RESTful, SOAP, or GraphQL interfaces, with practical hands-on steps using Northwind as a test API.
Explore flat file data loads into data sphere, import csv data to create tables, and model entity relationships with ER models for data modeling exercises.
Explore SAP integration suite open connectors to connect Datasphere with external services like Salesforce and Google Drive, compare integration flow versus open connectors, and understand cost and setup considerations.
Learn to build graphical and SQL views in SAP Datasphere, using graphical and transformation flows to stage, transform, and harmonize data from S4/Hana Cloud and other sources.
Create graphical views in datasphere by building joins, applying filters, and adding calculated columns with input parameters; preview data and deploy for OData consumption.
Learn to create SQL views in SAP Datasphere, compare graphical and SQL approaches for data transformation and harmonization, including data persistence, Hana Cloud, standard query, and table function options.
Explore transformation flows in the datasphere by building graphical or SQL view transforms to move data from source to target, with delta capture.
Explore the underlying HANA Cloud technical schema in SAP Datasphere, using the database explorer to navigate integration and integration tech schema, delta and active records, and persisted views.
Explore data flows in SAP Datasphere, learn graphical and scripted transformations with Python, and connect source systems to perform integration, filtering, projection, and aggregation.
This lecture explains analytic models in SAP Datasphere, emphasizing semantic definitions, associations between facts and dimensions, and the use of graphical views to model time, product, and master data.
Learn to design and deploy analytic models in SAP Data Sphere, using variables, structures, and associations to build star-schema data sets and enable BW migration with lineage and dependency checks.
Learn currency and unit conversion in SAP Datasphere, loading exchange rates, applying conversions in graphical views and analytic models, and leveraging views and SQL functions.
Explore intelligent lookup in SAP Datasphere for data marketplace matching with internal data. Utilize pairing columns, fuzzy search, and acceptance rules to harmonize external data and enrich reports.
Explore SAP Datasphere task chains to automate ETL pipelines, orchestrating replication flows, data flows, remote tables, and transformations, with nesting, parallel branches, API tasks, and email notifications.
Explore how to create and load time and GL account hierarchies in Datasphere, including manual level hierarchies and external S4 HANA hierarchies via replication flows, to enable hierarchical reporting.
Explore variables in Datasphere analytic models, including standard, derived value, and dynamic default processing, and learn to configure input parameters, filters, and currency conversion workflows.
Explore restricted measure variables and filter variables in analytic models, and compare standard variables, derive value, dynamic default, and value prompts for practical data filtering and analysis.
Learn how to install business content in SAP datasphere, compare standard vs SAP data products, and understand data loading, configuration, and prerequisites like time dimension and currency conversion.
Explore row-level security and data access controls in SAP Datasphere, defining permissions with single values and ranges, and applying data access controls to analytic models.
Explore mixed modeling between data sphere and Hana cloud, consuming data sphere objects in Hana cloud and graphical views in data sphere. Use open SQL schemas and HDI containers.
Master HANA cloud and Data Sphere mixed models by consuming Data Sphere graphical views in HANA design time, configuring UPS, grants, and synonyms to access Open SQL and HDI objects.
Master S4 and BW4 model transfer in SAP Datasphere, learning how to move and map models within the platform for seamless data interoperability.
Evaluate why BWBridge offers limited capabilities, including no BW query or open hubs, and why migrating to data sphere with BW4HANA or BW-PCE provides a cleaner cloud transition.
Learn to build dimensions and facts in the Datasphere business builder, create a consumption model, and deploy perspectives for SAC and Power BI consumption.
Learn how to consume analytic models in SAP Analytics Cloud using live connections from SAP Data Sphere, exposing data to SAC and Power BI through OData services.
Learn how Data Sphere OData connectivity enables SAP Analytics Cloud and Power BI access to analytic models and graphical views, via Excel add-in and OAuth authentication.
Explore how to enable OData API connectivity from SAP Datasphere to SAC and Power BI, including creating OAuth clients, obtaining tokens, and exposing analytic models and views as OData services.
Explore how to configure ODBC connectivity from Hana cloud to Power BI and Excel using DSN, hosts, and 64-bit drivers, and address input parameter challenges.
Explore cloud data integration from SAC to SAP Datasphere using the CDI connector and Data Export Service API, enabling delta data loads and seamless planning.
Explore seamless planning with data sphere and SAC, including tenant mapping, cloud data integration, and storing planning data in data sphere for unified financial and operational planning.
Understand how SAP business data cloud uses a data lake and SAP managed data products to ingest SAP and non-SAP sources into data sphere for analytics.
Explore the SAP business data cloud architecture, including data lake, lakehouse, and data products, and how data packages, intelligent apps, and Databricks enable data sharing and analytics.
Understand how the BDC object store and foundation layer are managed by SAP and Data Sphere, with access limited to curated data products. Learn how to create custom data products.
Explore licensing timelines, contract rewiring, data products, delta sharing, and data catalog governance within the SAP data sphere and BDC.
Extend a CDS view in SAP S/4HANA embedded analytics, create custom CDS views or fields, and load them into data sphere as a data product with replication.
Explore how Databricks uses delta lake and the bronze–silver–gold medallion architecture, with delta sharing into SAP data sphere for seamless data sharing to analytics cloud.
Learn how to share delta tables from Databricks to Power BI using delta sharing, including creating shares and recipients, enabling external sharing, and using short-lived tokens.
Create a custom data product in data sphere by building a data provider profile, adding a data source and artifacts, and listing it in the public marketplace.
Learn how to install and use the SAP Datasphere cli to automate administration and development tasks in SAP Datasphere, including setup, authentication, spaces, and user and object management.
Learn Datasphere content transport with export-import, delivery and repository packages, and cloud transport management service to move objects across tenants.
Explore external parent-child hierarchy in SAP Datasphere by loading data, building a hierarchy view, and associating it to a GL account dimension, then deploy and analyze in the analytic model.
Structure members are used to apply restrictions and calculations for all the measures in the Analytic model.
Hierarchy with directory object is used for configuring multiple hierarchies in the Datasphere model.
This course covers all key capabilities of SAP Datasphere and mainly focuses on Data integration, preparation, modeling and analytical objects development. The infrastructure required for Integration, DP agent setup, Cloud connector configurations are shown in the hands-on working sessions. Pipe line configuration to automate the data processing, SQL and Python scripting usage in the transformation use cases. It also covers native HANA cloud capabilities, BAS HANA DB object development for data integration and modeling. It covers the topics of consuming Datasphere objects data in SAC and PowerBI applications. In addition to that, topics of Business Data cloud, data products, delta lake in the foundation services and embedded object store in Datasphere. Covers the basics of Databricks, delta tables and data transformations. This course provides the deep knowledge in the architecture of SAP BDC that helps in clearing the SAP BDC certification. In the last chapter, Datasphere administration topics like Transportation, Business content installation, Security roles, CLI tool usage are explained in detail.
Some of the latest updates on seamless planning are gone through in this course, if there is an update on these topics, those sessions will get added to the course content.
So, overall this course is an end to end coverage of all the tasks that are required for Data engineer to work in the SAP space.