Can we switch from SAP to data science?

You can get into data analytics without switching from SAP. SAP has got many data analytic tools. The only thing you need to understand is the basics of data analytics i.e. ETL, Data modelling and Data visualisation.

Is SAP useful for data scientist?

SAP Predictive Analytics is built for data scientists, business and data analysts. It used to automate data preparation, predictive modeling, and deployment tasks; pre-built modeling functionality; advanced visualization; native integration with SAP HANA and R language support.

Which is better data analyst or SAP?

Data analyst is general, or can analyze simple to complex data without any expertise on any system (at least based on my experience). A SAP consultant includes all of those + specializes in SAP itself, and just learning the solutions how they tie together takes years of experience.

Is SAP still relevant?

SAP will not be outdated forever because SAP is one of the number one providers of enterprise software solutions since more than 10 years to improve work and data management in organisations across all industries. SAP is not old technology and outdated.

How did you switch to data science?

If you are looking to transition your career to data science, the most common advice you may have heard is to learn Python or R, or to learn machine learning by pursuing courses like Andrew Ng’s ML course on Coursera, or to start learning big data technologies like Spark and Hadoop.

Is SAP a business intelligence tool?

SAP BusinessObjects BI (SAP BO) is a centralized suite of reporting and analytics tools for business intelligence (BI) platforms. It consists of a number of reporting applications that allow users to discover data, perform analysis to derive insights and create reports that visualize the insights.

Is ERP related to data science?

In a similar way, data science is working with ERP data now. The same thing will happen to data science and data coming from an ERP system: The processes companies use will become standardized and ultimately accepted by industry as the norm. ERP data are analyzed to make internal business processes more efficient.

What is Hadoop and Hana?

SAP HANA is referred to as the in-memory technology, whereas Hadoop from Cloudera is known as a big data solution. SAP HANA is used for a higher-level and operational analysis, whereas Hadoop is used as a tool for pre-processing and aggregation of very detailed data.

Can I pursue a career in sap as a data scientist?

You can pursue a career in SAP data science. There are PIA group within SAP that is all data scientists. Actually one of the most valuable data analysis area is SAP – it has most business data and many of companies using SAP has Big data in or around SAP – to make sense of such data and fully leverage it, data science is very important.

What is it like to work as a SAP system administrator?

If you are an SAP basis engineer, system administrator or HANA database administrator working in IT department of a company which runs SAP systems, you are expected to keep these mission-critical systems always up and healthy , minimize downtimes & service outages and avoid corresponding business loss.

How do developers and consultants change SAP programs?

For business requirements, developers & consultants can change SAP programs or add new customizations & programs to the system. All these changes are made in development systems, usually tested qa (quality assurance) systems then finally transported to the SAP production systems via Transport Management System with SAP transaction STMS.

Are you prepared to crack a data science interview?

Whether you’re a fresher, a mid-career transitioner, or considering a late career switch, you need to be extremely well prepared to crack data science interviews. That’s what we aim to help you do in the ‘Ace Data Science Interviews‘ course!