SAP S/4HANA is an integrated enterprise resource planning (ERP) system that manages various business functions, including Human Resources (HR), payroll, sourcing, procurement, product development, manufacturing, sales, and distribution.

In the era marked by sensors and interconnected devices, data scientists encounter new challenges. Their primary obstacle lies in efficiently ingesting and utilizing both homogeneous and heterogeneous IoT data sourced from various sensor devices. With the business landscape witnessing the emergence of new devices with diverse sensor parameters, necessitating continuous monitoring for optimal operations.

Big Data Challenges

Digital is disrupting everything. And we’ll see more disruption as businesses look to digitally transform to comeback stronger in the post-COVID 19 world. SAP HANA can be a huge enabler of digital transformation by helping companies adopt and leverage transformative technologies in new ways. With SAP HANA, SAP offers companies a digital transformation platform that can simplify the core ways that companies run.

SAP HANA migration requires careful deliberation and strong adherence to best practices. SAP HANA is more than a traditional data base. It is an in-memory data platform that can be deployed on premise or in the cloud. It delivers many benefits to a business, including accelerating processes, helping extract real-time business intelligence and simplifies the IT environment.

The launch of SAP HANA in 2011 brought about a paradigm shift in the enterprise business. Implemented with in memory technology, SAP HANA offers a more agile business environment and helps accelerate digital transformation of businesses.

Let us find out how SAP HANA, the in memory database (DB) with almost zero response time came about and the advantages of its in memory planning and in memory computing engine.

Evolution of SAP HANA

Consider a situation, where, we have our ERP Central Component (ECC) system on X Database (X is a variable).