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Mohamad Halabi
Oracle offers a comprehensive big data platform. This course is aimed for beginners who are looking to learn about what big data architecture looks like and how such architecture is fulfilled using Oracle's big data platform.
Read more
Oracle offers a comprehensive big data platform. This course is aimed for beginners who are looking to learn about what big data architecture looks like and how such architecture is fulfilled using Oracle's big data platform.
Read more
Oracle offers a comprehensive big data platform. This course is aimed for beginners who are looking to learn about what big data architecture looks like and how such architecture is fulfilled using Oracle's big data platform.
Big data is a large ecosystem that requires students to learn variety of skill sets. In this course, Starting with Oracle Big Data, you will learn the overall end-to-end big data architecture within the context of Oracle's big data platform. First, you will learn how to integrate and transform data from various sources. Next, you will discover how to manage, access, and query data. Finally, you will explore how to analyze data for insights. When you are finished with this course, you will have a foundational understanding of big data architectures and what Oracle offers in the big data space.
Register for this course and see more details by visiting:
OpenCourser.com/course/bb4ix1/starting
What's inside
Syllabus
Course Overview
Getting Started
Ingesting and Transforming Data with ODI
Ingesting Real-time Data with GoldenGate
Read more
Syllabus
Course Overview
Getting Started
Ingesting and Transforming Data with ODI
Ingesting Real-time Data with GoldenGate
Read more
Handling Interactive Big Data with Oracle NoSQL
Data Virtualization with Big Data SQL
Loading Hadoop Data into Oracle with Big Data Connectors
Graph Analysis with Big Data Graph
Spatial Analysis with Big Data Spatial
Performing Advanced Data Analytics
Course Closure
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches the concepts of Big Data architecture, particularly the Oracle Big Data platform, which is valuable for learners seeking to work with big data technologies
Starts with the basics, making it suitable for beginners with no prior experience in big data technologies
Covers a range of topics, including data integration, transformation, management, analysis, and visualization, providing a comprehensive foundation in big data concepts
Provides hands-on experience through labs and exercises, allowing learners to apply the concepts they learn
Taught by industry experts, ensuring the content is up-to-date and relevant to real-world applications
Save this course
Save Starting with Oracle Big Data to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Starting with Oracle Big Data with these
activities:
Organize and review course materials
Show steps
Enhance retention and understanding by organizing and reviewing course materials, including notes, slides, assignments, and quizzes, ensuring that key concepts are well-structured and easily accessible for future reference.
Show steps
-
Gather all course materials and organize them into a logical structure.
-
Review the materials regularly to reinforce concepts and identify areas for further study.
-
Create summaries or mind maps to consolidate information.
Find a mentor who has experience in big data
Show steps
Enables you to learn from an experienced professional and gain valuable insights into big data.
Show steps
-
Identify potential mentors through professional networks, industry events, or online platforms.
-
Reach out to potential mentors and express your interest in learning about big data.
-
Establish regular meetings or communication channels with your mentor.
Form a study group with classmates
Show steps
Enhance understanding and retention by regularly meeting with classmates to discuss course concepts, solve problems, and share insights, creating a collaborative and supportive learning environment.
Show steps
-
Identify a few classmates with similar interests and schedules.
-
Decide on a regular meeting time and place.
-
Prepare for each meeting by reviewing the material and identifying areas for discussion.
-
Actively participate in discussions and share perspectives.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Participate in discussion forums on Oracle's big data platform
Show steps
Engage in discussions with peers to exchange knowledge, ask questions, and clarify concepts related to Oracle's big data platform.
Show steps
-
Join relevant discussion forums.
-
Participate in discussions by sharing your insights and asking questions.
-
Learn from the experiences and perspectives of other participants.
Practice SQL queries
Show steps
Practice writing and executing SQL queries to develop proficiency and enhance understanding of data manipulation concepts covered in the course.
Browse courses on
SQL
Show steps
-
Install a database management system (e.g., Oracle Database, MySQL).
-
Create a database and populate it with sample data.
-
Write queries to retrieve, filter, sort, and aggregate data.
-
Review query results and optimize queries for efficiency.
Complete practice problems on data integration and transformation
Show steps
Reinforce your understanding of data integration and transformation concepts by solving practice problems.
Browse courses on
Data Transformation
Show steps
-
Identify different data sources and their formats.
-
Apply data transformation techniques to convert data into a consistent format.
-
Practice loading transformed data into a database.
Mentor a junior developer on big data concepts
Show steps
Helps you to solidify your understanding of big data concepts by explaining them to others.
Show steps
-
Identify a junior developer who is interested in learning about big data.
-
Schedule regular meetings to discuss big data concepts.
-
Provide guidance and support to the junior developer as they work on big data projects.
Follow tutorials on data analytics with Oracle tools
Show steps
Enhance your data analytics skills by following guided tutorials that demonstrate the use of Oracle's analytics tools.
Browse courses on
Data Analytics
Show steps
-
Explore Oracle's data analytics platform.
-
Follow tutorials on performing data analysis tasks.
-
Apply data analytics techniques to real-world datasets.
Follow online tutorials on Apache Hadoop
Show steps
Work through structured tutorials to gain hands-on experience with Hadoop, a core component of Oracle's big data platform, to supplement theoretical concepts covered in the course.
Browse courses on
Hadoop
Show steps
-
Identify reputable online sources or platforms offering Hadoop tutorials.
-
Choose tutorials that align with specific topics covered in the course.
-
Follow the tutorials step-by-step and implement the concepts in a sandbox environment.
-
Troubleshoot any errors or issues encountered during the tutorials.
Explore Oracle Big Data Spatial for geospatial analysis
Show steps
Gain proficiency in geospatial analysis by working through tutorials on Oracle Big Data Spatial, a component of the course, to enhance understanding of spatial data handling and analysis techniques.
Browse courses on
Geospatial Analysis
Show steps
-
Locate reputable online tutorials or resources for Oracle Big Data Spatial.
-
Follow the tutorials to learn about spatial data concepts and operations.
-
Apply the techniques to real-world datasets and analyze the results.
-
Share your insights and findings with others.
Build a data ingestion pipeline using Oracle GoldenGate
Show steps
Gain practical experience by implementing a data ingestion pipeline using Oracle GoldenGate, a key technology in the course, to enhance understanding of real-time data integration.
Browse courses on
Data Ingestion
Show steps
-
Set up a source and target database.
-
Configure Oracle GoldenGate to replicate data from the source to the target.
-
Monitor the data ingestion process and troubleshoot any issues.
-
Optimize the pipeline for performance and reliability.
Complete all practice drills and exercises
Show steps
Helps you to reinforce the principles of big data architecture.
Show steps
-
Identify the concepts covered in each drill or exercise.
-
Work through each drill or exercise.
-
Check your answers against the provided solutions.
Develop a data analysis project using Oracle Big Data tools
Show steps
Apply concepts learned in the course by creating a project that leverages Oracle Big Data tools to analyze real-world data and draw meaningful insights, enhancing practical skills and deepening understanding.
Browse courses on
Data Analysis
Show steps
-
Identify a suitable dataset for analysis.
-
Use Oracle Big Data tools (e.g., Big Data SQL, Big Data Graph) to explore, transform, and analyze the data.
-
Develop visualizations and reporting to present insights and findings.
-
Document the project and share it with others for feedback and discussion.
Contribute to an open-source big data project
Show steps
Provides you with practical experience in implementing big data solutions.
Show steps
-
Identify an open-source big data project that aligns with your interests and skill level.
-
Review the project's documentation and codebase.
-
Identify an area where you can contribute to the project.
-
Submit a pull request with your contribution to the project.
Participate in a Big Data Analytics competition
Show steps
Provides you with hands-on experience in applying big data analytics techniques.
Show steps
-
Identify a competition that aligns with your interests and skill level.
-
Form a team or work independently on the competition.
-
Develop a solution to the competition's challenge.
-
Submit your solution and compete against other participants.
Organize and review course materials
Show steps
Enhance retention and understanding by organizing and reviewing course materials, including notes, slides, assignments, and quizzes, ensuring that key concepts are well-structured and easily accessible for future reference.
Show steps
Show steps
Show steps
- Gather all course materials and organize them into a logical structure.
- Review the materials regularly to reinforce concepts and identify areas for further study.
- Create summaries or mind maps to consolidate information.
Find a mentor who has experience in big data
Show steps
Enables you to learn from an experienced professional and gain valuable insights into big data.
Show steps
Show steps
Show steps
- Identify potential mentors through professional networks, industry events, or online platforms.
- Reach out to potential mentors and express your interest in learning about big data.
- Establish regular meetings or communication channels with your mentor.
Form a study group with classmates
Show steps
Enhance understanding and retention by regularly meeting with classmates to discuss course concepts, solve problems, and share insights, creating a collaborative and supportive learning environment.
Show steps
Show steps
Show steps
- Identify a few classmates with similar interests and schedules.
- Decide on a regular meeting time and place.
- Prepare for each meeting by reviewing the material and identifying areas for discussion.
- Actively participate in discussions and share perspectives.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Participate in discussion forums on Oracle's big data platform
Show steps
Engage in discussions with peers to exchange knowledge, ask questions, and clarify concepts related to Oracle's big data platform.
Show steps
Show steps
Show steps
- Join relevant discussion forums.
- Participate in discussions by sharing your insights and asking questions.
- Learn from the experiences and perspectives of other participants.
Practice SQL queries
Show steps
Practice writing and executing SQL queries to develop proficiency and enhance understanding of data manipulation concepts covered in the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Install a database management system (e.g., Oracle Database, MySQL).
- Create a database and populate it with sample data.
- Write queries to retrieve, filter, sort, and aggregate data.
- Review query results and optimize queries for efficiency.
Complete practice problems on data integration and transformation
Show steps
Reinforce your understanding of data integration and transformation concepts by solving practice problems.
Browse courses on
Data Transformation
Show steps
Show steps
Show steps
- Identify different data sources and their formats.
- Apply data transformation techniques to convert data into a consistent format.
- Practice loading transformed data into a database.
Mentor a junior developer on big data concepts
Show steps
Helps you to solidify your understanding of big data concepts by explaining them to others.
Show steps
Show steps
Show steps
- Identify a junior developer who is interested in learning about big data.
- Schedule regular meetings to discuss big data concepts.
- Provide guidance and support to the junior developer as they work on big data projects.
Follow tutorials on data analytics with Oracle tools
Show steps
Enhance your data analytics skills by following guided tutorials that demonstrate the use of Oracle's analytics tools.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Explore Oracle's data analytics platform.
- Follow tutorials on performing data analysis tasks.
- Apply data analytics techniques to real-world datasets.
Follow online tutorials on Apache Hadoop
Show steps
Work through structured tutorials to gain hands-on experience with Hadoop, a core component of Oracle's big data platform, to supplement theoretical concepts covered in the course.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Identify reputable online sources or platforms offering Hadoop tutorials.
- Choose tutorials that align with specific topics covered in the course.
- Follow the tutorials step-by-step and implement the concepts in a sandbox environment.
- Troubleshoot any errors or issues encountered during the tutorials.
Explore Oracle Big Data Spatial for geospatial analysis
Show steps
Gain proficiency in geospatial analysis by working through tutorials on Oracle Big Data Spatial, a component of the course, to enhance understanding of spatial data handling and analysis techniques.
Browse courses on
Geospatial Analysis
Show steps
Show steps
Show steps
- Locate reputable online tutorials or resources for Oracle Big Data Spatial.
- Follow the tutorials to learn about spatial data concepts and operations.
- Apply the techniques to real-world datasets and analyze the results.
- Share your insights and findings with others.
Build a data ingestion pipeline using Oracle GoldenGate
Show steps
Gain practical experience by implementing a data ingestion pipeline using Oracle GoldenGate, a key technology in the course, to enhance understanding of real-time data integration.
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Set up a source and target database.
- Configure Oracle GoldenGate to replicate data from the source to the target.
- Monitor the data ingestion process and troubleshoot any issues.
- Optimize the pipeline for performance and reliability.
Complete all practice drills and exercises
Show steps
Helps you to reinforce the principles of big data architecture.
Show steps
Show steps
Show steps
- Identify the concepts covered in each drill or exercise.
- Work through each drill or exercise.
- Check your answers against the provided solutions.
Develop a data analysis project using Oracle Big Data tools
Show steps
Apply concepts learned in the course by creating a project that leverages Oracle Big Data tools to analyze real-world data and draw meaningful insights, enhancing practical skills and deepening understanding.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify a suitable dataset for analysis.
- Use Oracle Big Data tools (e.g., Big Data SQL, Big Data Graph) to explore, transform, and analyze the data.
- Develop visualizations and reporting to present insights and findings.
- Document the project and share it with others for feedback and discussion.
Contribute to an open-source big data project
Show steps
Provides you with practical experience in implementing big data solutions.
Show steps
Show steps
Show steps
- Identify an open-source big data project that aligns with your interests and skill level.
- Review the project's documentation and codebase.
- Identify an area where you can contribute to the project.
- Submit a pull request with your contribution to the project.
Participate in a Big Data Analytics competition
Show steps
Provides you with hands-on experience in applying big data analytics techniques.
Show steps
Show steps
Show steps
- Identify a competition that aligns with your interests and skill level.
- Form a team or work independently on the competition.
- Develop a solution to the competition's challenge.
- Submit your solution and compete against other participants.
Career center
Learners who complete Starting with Oracle Big Data will develop knowledge and skills
that may be useful to these careers:
Big Data Architect
Big Data Architect
**Big Data Architects** design and build big data systems. They work with organizations to understand their business needs and then design systems that can meet those needs. This course helps teach the end-to-end lifecycle of big data management using Oracle's big data platform. This knowledge will help you understand the different components of a big data system and how to design a system that is scalable, reliable, and secure.
Big Data Analyst
Big Data Analyst
**Big Data Analysts** use their programming skills to wrangle and analyze large datasets. They work with organizations to help them understand their data and make better decisions. This course helps teach the end-to-end lifecycle of big data management using Oracle's big data platform. This knowledge will help you understand how data moves through an organization and how to use it for effective decision-making.
Data Engineer
Data Engineer
**Data Engineers** build and maintain the infrastructure that supports big data systems. They work with organizations to ensure that their data is accessible, reliable, and secure. This course helps teach the end-to-end lifecycle of big data management using Oracle's big data platform. This knowledge will help you understand the different components of a big data system and how to build a system that is scalable, reliable, and secure.
Data Scientist
Data Scientist
**Data Scientists** use their skills in statistics, machine learning, and data analysis to extract insights from data. They work with organizations to help them make better decisions. This course helps build a foundation in data management, data analysis, and data visualization. This knowledge will help you prepare for a career as a Data Scientist.
Database Administrator
Database Administrator
**Database Administrators** manage and maintain databases. They work with organizations to ensure that their data is accessible, reliable, and secure. This course helps teach the end-to-end lifecycle of big data management using Oracle's big data platform. This knowledge will help you understand the different components of a big data system and how to manage a big data system.
Software Engineer
Software Engineer
**Software Engineers** design, develop, and maintain software applications. They work with organizations to build software that meets their business needs. This course helps build a foundation in data management, data analysis, and data visualization. This knowledge will help you prepare for a career as a Software Engineer.
Business Analyst
Business Analyst
**Business Analysts** work with organizations to understand their business needs and then develop solutions to meet those needs. This course helps teach the end-to-end lifecycle of big data management using Oracle's big data platform. This knowledge will help you understand how data can be used to improve business outcomes.
Project Manager
Project Manager
**Project Managers** plan, execute, and close projects. They work with organizations to ensure that projects are completed on time, within budget, and to the required quality standards. This course helps teach the end-to-end lifecycle of big data management using Oracle's big data platform. This knowledge will help you understand the different phases of a big data project and how to manage a big data project successfully.
Data Analyst
Data Analyst
**Data Analysts** use their skills in statistics, data analysis, and data visualization to extract insights from data. They work with organizations to help them make better decisions. This course helps build a foundation in data management, data analysis, and data visualization. This knowledge will help you prepare for a career as a Data Analyst.
Data Architect
Data Architect
**Data Architects** design and build data architectures. They work with organizations to develop data architectures that meet their business needs. This course helps teach the end-to-end lifecycle of big data management using Oracle's big data platform. This knowledge will help you understand the different components of a data architecture and how to design a data architecture that is scalable, reliable, and secure.
Statistician
Statistician
**Statisticians** use their skills in statistics and data analysis to solve problems. They work with organizations to help them make better decisions. This course helps build a foundation in data management, data analysis, and data visualization. This knowledge will help you prepare for a career as a Statistician.
Machine Learning Engineer
Machine Learning Engineer
**Machine Learning Engineers** design, develop, and maintain machine learning models. They work with organizations to build machine learning models that can solve business problems. This course helps build a foundation in data management, data analysis, and data visualization. This knowledge will help you prepare for a career as a Machine Learning Engineer.
Financial Analyst
Financial Analyst
**Financial Analysts** use their skills in data analysis and finance to make investment decisions. They work with organizations to help them make investment decisions that are profitable. This course helps build a foundation in data management, data analysis, and data visualization. This knowledge will help you prepare for a career as a Financial Analyst.
Market Researcher
Market Researcher
**Market Researchers** use their skills in data analysis and research to understand consumer behavior. They work with organizations to help them develop marketing campaigns that are effective. This course helps build a foundation in data management, data analysis, and data visualization. This knowledge will help you prepare for a career as a Market Researcher.
For more career information including salaries, visit:
OpenCourser.com/course/bb4ix1/starting
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Starting with Oracle Big Data.
Provides a comprehensive overview of big data concepts, technologies, architectural patterns, and best practices. It will help you to understand the foundational concepts of big data and how Oracle's big data platform fits into the overall big data ecosystem.
Save
Provides a comprehensive overview of the future of artificial intelligence. It discusses the challenges and opportunities of AI and provides case studies of companies that are using AI to improve their operations.
Save
Provides a comprehensive overview of big data analytics, including the technologies, tools, and techniques used to extract value from large datasets. It also discusses the challenges and opportunities of big data analytics.
Save
Provides a comprehensive overview of the big data phenomenon, including the technologies, tools, and techniques used to extract value from large datasets. It also discusses the challenges and opportunities of big data.
Provides a practical guide to data science, including the skills and techniques needed to extract value from data. It also discusses the ethical and legal implications of data science.
Comprehensive guide to Hadoop, the open-source big data platform. It covers all the essential topics, from data storage and processing to security and administration.
Save
Provides a practical guide to predictive analytics, including the skills and techniques needed to build predictive models. It also discusses the ethical and legal implications of predictive analytics.
Comprehensive guide to Spark, the open-source big data processing framework. It covers all the essential topics, from data processing to machine learning and graph analytics.
Save
Comprehensive guide to data mining, the process of extracting knowledge from large datasets. It covers all the essential topics, from data preprocessing to pattern recognition and machine learning.
Comprehensive guide to machine learning, the process of training computers to learn from data. It covers all the essential topics, from supervised learning to unsupervised learning and reinforcement learning.
Save
Comprehensive guide to deep learning, a type of machine learning that uses artificial neural networks. It covers all the essential topics, from supervised learning to unsupervised learning and reinforcement learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bb4ix1/starting
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Time
215 hours
Level
Introductory
Via
Pluralsight
Instructor
Mohamad Halabi
Language
English
Good to know
Teaches the concepts of Big Data architecture, particularly the Oracle Big Data platform, which is valuable for learners seeking to work with big data technologies
Starts with the basics, making it suitable for beginners with no prior experience in big data technologies
Covers a range of topics, including data integration, transformation, management, analysis, and visualization, providing a comprehensive foundation in big data concepts
Provides hands-on experience through labs and exercises, allowing learners to apply the concepts they learn
Taught by industry experts, ensuring the content is up-to-date and relevant to real-world applications
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