Analyzing Connected Data with SAP HANA Graph
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Course Feature
Cost:
Free
Provider:
openSAP
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from openSAP platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [May 19th, 2023]
This course, Analyzing Connected Data with SAP HANA Graph, provides an introduction to the use of graph databases to analyze connected data. It covers topics such as exposing data to SAP HANA graph, pattern matching queries, built-in algorithms, GraphScript, SAP HANA hierarchies in SQL, and integration options with adjacent technologies. System demos will be included to provide a hands-on experience.
[Applications]
After taking this course, participants should be able to apply SAP HANA Graph to analyze connected data. They should be able to understand how to expose data to SAP HANA Graph, use pattern matching queries and built-in algorithms, and use GraphScript to create custom graph algorithms. Participants should also be able to understand how to integrate SAP HANA Graph with other technologies such as full-text search and spatial.
[Career Paths]
1. Data Analyst: Data Analysts are responsible for collecting, organizing, and analyzing data to identify trends and patterns. They use their findings to inform business decisions and strategies. Data Analysts must have strong analytical and problem-solving skills, as well as a deep understanding of the data they are working with. With the increasing use of connected data, Data Analysts must be able to use SAP HANA Graph to analyze and interpret data in order to draw meaningful conclusions.
2. Business Intelligence Developer: Business Intelligence Developers are responsible for designing, developing, and maintaining business intelligence solutions. They must have a deep understanding of data analysis and visualization tools, such as SAP HANA Graph, in order to create effective solutions. Business Intelligence Developers must also have strong communication skills in order to effectively collaborate with stakeholders and present their findings.
3. Data Scientist: Data Scientists are responsible for using data to solve complex problems and uncover insights. They must have a deep understanding of data analysis and machine learning techniques, as well as the ability to use SAP HANA Graph to analyze connected data. Data Scientists must also have strong communication skills in order to effectively collaborate with stakeholders and present their findings.
4. Data Engineer: Data Engineers are responsible for designing, developing, and maintaining data pipelines and architectures. They must have a deep understanding of data engineering tools, such as SAP HANA Graph, in order to create effective solutions. Data Engineers must also have strong communication skills in order to effectively collaborate with stakeholders and present their findings.
[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and data structures. Students will also learn about the latest technologies and trends in the field, such as artificial intelligence, machine learning, and cloud computing.
2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. Students will learn about data mining, machine learning, and predictive analytics, as well as the use of big data tools and technologies. They will also gain an understanding of the ethical implications of data science.
3. Master of Science in Artificial Intelligence: This degree path provides students with an in-depth understanding of artificial intelligence and its applications. Students will learn about the fundamentals of AI, including machine learning, natural language processing, and computer vision. They will also gain an understanding of the ethical implications of AI and its potential impact on society.
4. Doctor of Philosophy in Data Science: This degree path provides students with an advanced understanding of data science and its applications. Students will learn about data mining, machine learning, and predictive analytics, as well as the use of big data tools and technologies. They will also gain an understanding of the ethical implications of data science and its potential impact on society.
Course Provider
Provider openSAP's Stats at AZClass
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