SAP HANA Cloud Implementation, Modelling and Reporting

Register for SAP HANA cloud trial via the landing page, provision a database, verify landscape and installation, and use the cloud database explorer to run SQL on a provided dataset.

Learn to access the SAP HANA Cloud trial, register, verify your account, choose a data center in SAP BTP cockpit, and locate the SAP HANA Cloud in the dev space.

Learn to add instance mapping and adjust SAP HANA cloud configuration by binding your database instance to a cloud environment using the org ID, enabling decoupled modeling workflows.

Connect SAP Business Application Studio to your Hana database, then create a space and project, deploy an empty project, import data, and understand HDI artifacts.

Discover SAP business application studio, a new, developer-friendly environment for Hana native, Fiori, and cloud apps, with hands-on setup of development spaces, projects, and integrated git workflows.

Import data into your SAP Hana cloud project with the SAP Business Application Studio using the Hgb table import method, creating local data in your HDI for modeling and deployment.

Learn to implement a hybrid SAP HANA setup by provisioning the cloud instance, installing express edition on premise, configuring cloud connector, and performing virtualization and replication demos.

Access the SAP Business Application Studio, create a Hana dev space, start a Hana database project, connect to the cloud endpoint, and deploy an HDI container.

Provision a SAP HANA cloud instance via a BTP trial account, install tools, set up SAP HANA database and data lake, perform instance mapping, and test with Database Explorer.

Learn to install and configure SAP HANA express edition on premise, including registering, downloading, VM setup with VMware or VirtualBox, and mounting a system database via the web IDE.

Connect your cloud connector from on-prem to the BTP cockpit, linking to the SAP HANA Cloud instance. Configure region, sub account, and location ID to verify an active connection.

Learn to connect your on premise SAP HANA express edition to the cloud connector, verify IP and host details, check the web ID, and establish a secure cloud-to-on-premise link.

Virtualize on-prem Hana tables to Hana cloud by creating a remote source and virtual tables, enabling remote queries and analytics through calculation views and cubes.

Explore how replication in SAP HANA Cloud duplicates on-prem tables for analytic workloads, hosting data in the cloud to enable faster queries and support calculation views and cubes.

Explore replication configuration in SAP HANA Cloud by creating virtual and test schemas, setting up v_outlet and r_outlet tables, and activating a remote subscription with distribute.

Create a cross container link between your project HDI and the main cloud DB to access data and metadata from the business application studio through a synonym and calculation view.

Learn to use the SAP Business Application Studio to connect a Hana database, create a space and project, deploy an empty project, import data, and start the database.

Learn how to import efashion data into your main SAP HANA Cloud database, create a fashion schema, and import csv datasets with header handling, column mapping, and table creation.

Create a user and a role, grant select and schema access on EA fashion, assign the role to the user, enabling cross-container access via sql and cockpit.

Enable cross container access from hdi project in the application studio to the SAP HANA instance by binding a user provided service and generating hdb grant file for e fashion.

Modify hdbgrant file to grant the service roles and privileges for data access in the E fashion schema, binding the object owner and application user to the same role.

Explore SAP Hana Cloud solution, uncover database features, functionalities, nodes, and views; master modeling fundamentals 101, create calculation views, and test drive schemas, tables, variables, filters, and calculate columns.

Create a fashion schema and outlet_lookup table, insert data using the SQL console on the correct HDI main database instance, and preview calculation views in this SAP HANA Cloud course.

Explore the types of calculation views in SAP HANA Cloud, including dimension calculation views and cubes, and learn how time dimension views extend date data for reporting.

Explore the modeling nodes in SAP HANA Cloud, covering joints, non-equity joins, unions, minus and intersect, projection, aggregation, and rank features for calculation views.

Explore SAP Hana Cloud's semantic layer, data lineage, and impact analysis, and learn to manage semantics, aggregations, variables, data masking, and hierarchies in the business application studio.

Clarify how measures and dimensions in data modeling enable reporting, showing sales by region and quantity by product as measures, while regions, products, and cities serve as dimensions.

Explore how measures and dimensions live in fact and dimension tables, modeled via a star schema, and distinguish physical tables from models that are not materialized in Hana.

Explore calculation view types in SAP HANA Cloud, including dimension, cube, cube star join, and time based dimension views. Learn to join, union, and filter data to build OLAP cubes.

Explore the distinction between design time and runtime calculation views in SAP HANA Cloud, including spaces, HDI persistence, and how building objects pushes changes to runtime for reporting tools.

Explore business reporting requirements for active partners, suppliers, and purchases, including top active suppliers by quantity and amount, by location, and currency, using exploratory data sets for charts and maps.

Explore the HDI schema and database explorer to inspect currency exchange tables, employees, products, business partners, and addresses, and distinguish header and item data for purchase orders.

Design reusable dimension calculation views for employees, business partners, and products, then build a star schema cube by combining transaction data for the reporting layer.

Log into your BTP trial, start the SAP HANA cloud database, create a dev space, build a SAP HANA database project, deploy an HDI container, and explore the database explorer.

Import data into your SAP HANA cloud project by creating cur, master, and transactions folders, uploading CSV and HDB files, and deploying to persist and verify the data.

Import base models, including the three dimensional views and the cube, deploy them in the database, and validate data with a query and quick graphs.

Learn to design and deploy an employee dimension calculation view on the SAP HANA cloud, selecting and projecting employee data, and enabling reuse across reports and analyses.

Learn to build a SAP HANA cloud business partner dimension view by projecting columns from the business partner and address tables, then joining them and configuring semantics and output naming.

Create a calculated column firm name by concatenating company name and legal form in the BP business partner calculation view, and implement it in the projection node.

Apply dynamic region filtering with variables in a calculation view to drive regional reporting. Learn single and multiple value prompts, data reduction, and testing and deployment in the database explorer.

Learn to answer business questions by testing data scenarios, building cubes and views, and analyzing top suppliers by quantity and value across regions.

Explore Hana olap features such as filters, variables, and input parameters, learn how Hana implements them for modelers and data scientists, and review calculated columns, hierarchies, and time-dimension views.

Learn the difference between filters and variables in SAP HANA Cloud: filters are hard-coded at the view level and can target measures, while variables provide dynamic region prompts.

Explore how input parameters deliver dynamic user values for tax calculations in the SAP HANA Cloud. Use direct value help to drive calculated columns and create new gross values.

Create a dynamic filter on measures with a runtime input parameter to filter the gross amount, such as greater than 1000, and implement the filter expression at runtime.

Map address type codes to readable labels using a calculated column with the case function in a projection, turning 0102 into residential or commercial for clearer reporting.

Learn to create a calculated column that extracts the year from a date field using the extract year function in SAP HANA Cloud, with validity start date examples.

Learn to implement restricted columns in SAP HANA cloud with measure-level filtering by region, using static and parameterized controls to restrict data visibility per country.

Explore building a level hierarchy for geographic information (region, country, city) at the semantic level in the SAP HANA Cloud, with route visibility and drill down.

Create time dimension views in SAP HANA Cloud by generating time data with the update time dimension procedure, selecting granularity and the target schema and table.

Change modeling nodes on the fly while preserving mappings, replace underlying objects with data sources, preview data, and propagate or extract semantics to keep models consistent.

Explore semantic layer features and semantic node capabilities, including assigning semantics to measures and attributes, and using currency and unit of measure types for reporting. Label and hide columns.

Explore currency conversion in a SAP HANA cloud cube by filtering to the base currency, adding a gross amount in USD, and configuring semantics with ticker tables and exchange rates.

Explore SAP HANA Cloud calculation view nodes, including join, union, aggregation, text join, and rank nodes, with features like non-equal and spatial joins, and access resources to import the models.

Demystify joins by explaining how to relate data across tables, understand cardinalities—1 to 1, one to many, many to many—and implement inner, left, right, and full outer joins for reporting.

Demonstrate inner join on partner and address tables to extend partner data with addresses in a 1-to-1 relationship, producing 45 matching records in a SAP HANA calculation view.

Explore how a left outer join links the business partner and address tables in a 1-to-1 setup, producing 45 rows with nulls on the right for nonmatches.

Explore full outer joins in a calculation view, showing how this join returns all records from both tables and outputs the table with the most records.

Demonstrate one-to-many join cardinality in SAP HANA cloud models, linking master data to transactions in a star schema with multiple products per business partner and multiple purchases per product.

Discover how to union two region-specific data cubes (EMEA and Americas) using the union node, map columns by name, and add a flag to identify each projection in the result.

Learn to union cubes with constant values to show measures in separate columns, preserve each column's meaning, and use manage mapping to fill zeros where data is missing.

Explore intersect node workflows to find common regions across two projections in SAP HANA Cloud, mapping region and category, validating with net amount measures and deploying changes.

Explore the minus node to remove APJ from dataset A using projection one and projection two, map the same columns, and note how input order changes the result.

Learn to use the non-equi join node in SAP HANA Cloud to join tables with operators beyond equality, such as less than or greater than, enabling flexible modeling.

Build a simple spatial calculation view by performing a point-to-point spatial join on SD_point data, using two projections and a join predicate to create one-to-n combinations.

Explore real-time data visualization with SAP HANA Cloud, building optimization-friendly models and leveraging inbuilt features to ensure accurate, consistent results across scenarios.

Explore SAP HANA Cloud performance optimization with parallelization, table partitioning, and cache settings and snapshots; learn to force and stop parallelization using partition local execution.

Master SAP HANA join optimization by applying auto pruning, referential and dynamic joins, greedy pruning, and optimized join columns to reduce data and improve accurate results.

Learn to optimize Hana's union node using constant-value hints, pruning configuration tables, and column-based pruning to avoid unnecessary unions and data from unused projections.

Enable the keep flag in the aggregation node to ensure accurate totals by enforcing proper calculation order, such as multiplication before summation, on key columns like order id.