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

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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: Programming Fundamentals: Understand basic programming concepts and logic. Learn a programming...
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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: Programming Fundamentals: Understand basic programming concepts and logic. Learn a programming language like Java, Python, or C++ to grasp fundamental coding principles. Database Concepts: Acquire knowledge of relational database concepts. Understand SQL (Structured Query Language) for querying databases. Web Technologies: Familiarize yourself with web development technologies such as HTML, CSS, and JavaScript. Learn about web services and APIs. Object-Oriented Programming (OOP): Understand the principles of OOP, as it is commonly used in modern programming paradigms. SAP Basics: Get a basic understanding of SAP and its modules. Familiarize yourself with SAP business processes and workflows. 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. 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. 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. 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. 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. 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. read less
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Hi, I want to know about the future about Big Data technology. Please advice.
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I am from computer science background. I do HTML5 and CSS but i want to learn Big data or DevOps. I am very much confused about which one to choose and which have a great future. Can anyone suggest?
If you studied maths in 11th and 12th,get into data science/business analytics/data analytics/bigdata analytics.Above mentioned are one and the same.Why am I suggesting above are following reasons. 1)Data...
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How big data development knowledge will help big data testing. What are the requirements for BIG data testing. Does ETL testing cover big data?
Hello Ashok, You will first need to understand the fundamentals of hadoop and some linux commands. For testing map reduce jobs,you will have to understand flow of map and reduce and then verifying...
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Shall I learn big data analytics first or go for java and cloud computing and then hadoop?
These are 2 different skills. If you have analytical skills go for data analytics
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