What should be learnt before doing SAP ABAP, HANA and BIGDATA?

Before diving into SAP ABAP, HANA, and Big Data technologies, it's beneficial to have a solid foundation in certain key areas. Here's a general roadmap that can help you prepare for these technologies:

1. Programming Fundamentals:

   • Understand basic programming concepts and logic.
   • Learn a programming language like Java, Python, or C++ to grasp fundamental coding principles.

2. Database Concepts:

   • Acquire knowledge of relational database concepts.
   • Understand SQL (Structured Query Language) for querying databases.

3. Web Technologies:

   • Familiarize yourself with web development technologies such as HTML, CSS, and JavaScript.
   • Learn about web services and APIs.

4. Object-Oriented Programming (OOP):

   • Understand the principles of OOP, as it is commonly used in modern programming paradigms.

5. SAP Basics:

   • Get a basic understanding of SAP and its modules.
   • Familiarize yourself with SAP business processes and workflows.

6. ABAP (Advanced Business Application Programming):

   • Learn the basics of ABAP programming language.
   • Understand SAP data dictionary concepts.
   • Gain knowledge of SAP development tools and environments.

7. SAP HANA:

   • Understand in-memory computing and the advantages of SAP HANA.
   • Learn about SAP HANA architecture and data modeling concepts.
   • Acquire skills in SAP HANA development tools.

8. Big Data Fundamentals:

   • Understand the basics of Big Data concepts and technologies.
   • Learn about distributed computing and storage systems.
   • Familiarize yourself with Hadoop ecosystem components.

9. Database Technologies for Big Data:

   • Gain knowledge of NoSQL databases (e.g., MongoDB, Cassandra) and distributed databases.
   • Learn about data warehousing solutions and columnar databases.

10. Programming for Big Data:

    • Learn programming languages commonly used in the Big Data ecosystem, such as Java, Scala, or Python.
    • Familiarize yourself with frameworks like Apache Spark and Apache Flink.

11. Data Analytics and Machine Learning:

    • Understand basic concepts of data analytics and machine learning.
    • Explore tools and libraries for data analysis and machine learning, such as TensorFlow or scikit-learn.

Remember that these are general guidelines, and the specific requirements may vary based on your role and the projects you'll be working on. Always refer to the official documentation and training resources provided by SAP, HANA, and the specific Big Data technologies you are interested in for the most accurate and up-to-date information.