We may earn an affiliate commission when you visit our partners.
Dayo Bamikole
Welcome to Approaches to Requirement Analysis for Efficient Data Storage and Processing. This course will teach you how to understand and identify steps to take your data to the right location based on its use case.
Read more
Welcome to Approaches to Requirement Analysis for Efficient Data Storage and Processing. This course will teach you how to understand and identify steps to take your data to the right location based on its use case.
Read more
Welcome to Approaches to Requirement Analysis for Efficient Data Storage and Processing. This course will teach you how to understand and identify steps to take your data to the right location based on its use case.
Data has evolved over the last 2-3 decades. We have been able to identify and group data into multiple categories and even with them we have subcategories. In this course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, you’ll gain the ability to confidently make the right choices to place your data in the right tool with all the right additional features required to be efficient. First, you’ll explore how to evaluate steps to design, implement, and support your data storage . Next, you’ll discover and understand the business continuity capabilities within the lifecycle of your data. Finally, you’ll learn how to ensure data integrity and manage performance at scale. When you’re finished with this course, you’ll have the skills and knowledge of Approaches to Requirement Analysis for Efficient Data Storage and Processing needed to effectively manage your data in your environment.
Register for this course and see more details by visiting:
OpenCourser.com/course/jrnl2d/approaches
What's inside
Syllabus
Course Overview
Evaluate Steps to Design, Implement and Support Data Storage
Understand Data Availability throughout the Data Lifecycle
Explore How to Ensure Data Integrity
Read more
Syllabus
Course Overview
Evaluate Steps to Design, Implement and Support Data Storage
Understand Data Availability throughout the Data Lifecycle
Explore How to Ensure Data Integrity
Read more
Managing Performance at Scale
New Module
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Demystifies efficient data storage and processing approaches
Taught by Dayo Bamikole, an experienced professional in the field
Covers essential concepts for designing, implementing, and supporting data storage solutions
Focuses on ensuring data integrity and managing performance at scale
Helps learners develop a comprehensive understanding of data storage and processing
Suitable for beginners and professionals seeking to enhance their knowledge in data management
Save this course
Save Approaches to Requirement Analysis for Efficient Data Storage and Processing to your list so you can find it easily later:
Save
Save
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 Approaches to Requirement Analysis for Efficient Data Storage and Processing with these
activities:
Compile a list of resources on data storage and processing
Show steps
Having a curated list of resources will make it easier for you to continue learning after the course.
Show steps
-
Search for articles, tutorials, videos, and other materials on data storage and processing
-
Organize the resources into a coherent collection
-
Categorize and tag the resources
Review relational databases concepts
Show steps
Preparing your foundational knowledge of relational databases will ensure you are ready to get the most out of this course.
Browse courses on
Relational Database
Show steps
-
Review normalization
-
Review primary, foreign, and composite keys
-
Review primary, foreign, and composite keys
-
Practice writing SQL queries
Attend a workshop on data storage and processing
Show steps
In-person workshops can provide hands-on experience and networking opportunities.
Show steps
-
Identify relevant data storage and processing workshops
-
Register and attend the workshop
-
Actively participate in the workshop
-
Network with other attendees and experts
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss best practices in data storage and processing
Show steps
Collaborating with peers will enhance your understanding and provide new perspectives.
Show steps
-
Join or start a study group or discussion forum
-
Engage in discussions on data storage and processing concepts and techniques
-
Share knowledge and experiences with other participants
Implement a data storage solution for a specific use case
Show steps
Implementing a solution will help you apply the concepts learned in this course to a practical scenario.
Show steps
-
Identify the data requirements of the use case
-
Design a data storage solution using the appropriate tools and technologies
-
Implement the data storage solution
-
Test and evaluate the performance of the data storage solution
Participate in a data storage or processing competition
Show steps
Challenge yourself and gain practical experience.
Show steps
-
Find a data storage or processing competition that aligns with your interests and skills
-
Form a team or participate individually
-
Develop and implement a data storage or processing solution
-
Submit your solution and compete against other participants
Explore advanced data storage techniques
Show steps
To increase your understanding, explore advanced techniques that go beyond the scope of this course.
Browse courses on
NOSQL Databases
Show steps
-
Find relevant tutorials on NoSQL databases, Big Data, and cloud storage
-
Follow the tutorials and practice the techniques
-
Experiment with different tools and technologies
Mentor a junior colleague or student in data storage and processing
Show steps
By teaching others you deepen your own understanding.
Show steps
-
Identify someone who would benefit from your mentorship
-
Set up regular meetings to provide guidance and support
-
Share your knowledge and experience
-
Provide feedback and encouragement
Compile a list of resources on data storage and processing
Show steps
Having a curated list of resources will make it easier for you to continue learning after the course.
Show steps
Show steps
Show steps
- Search for articles, tutorials, videos, and other materials on data storage and processing
- Organize the resources into a coherent collection
- Categorize and tag the resources
Review relational databases concepts
Show steps
Preparing your foundational knowledge of relational databases will ensure you are ready to get the most out of this course.
Browse courses on
Relational Database
Show steps
Show steps
Show steps
- Review normalization
- Review primary, foreign, and composite keys
- Review primary, foreign, and composite keys
- Practice writing SQL queries
Attend a workshop on data storage and processing
Show steps
In-person workshops can provide hands-on experience and networking opportunities.
Show steps
Show steps
Show steps
- Identify relevant data storage and processing workshops
- Register and attend the workshop
- Actively participate in the workshop
- Network with other attendees and experts
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss best practices in data storage and processing
Show steps
Collaborating with peers will enhance your understanding and provide new perspectives.
Show steps
Show steps
Show steps
- Join or start a study group or discussion forum
- Engage in discussions on data storage and processing concepts and techniques
- Share knowledge and experiences with other participants
Implement a data storage solution for a specific use case
Show steps
Implementing a solution will help you apply the concepts learned in this course to a practical scenario.
Show steps
Show steps
Show steps
- Identify the data requirements of the use case
- Design a data storage solution using the appropriate tools and technologies
- Implement the data storage solution
- Test and evaluate the performance of the data storage solution
Participate in a data storage or processing competition
Show steps
Challenge yourself and gain practical experience.
Show steps
Show steps
Show steps
- Find a data storage or processing competition that aligns with your interests and skills
- Form a team or participate individually
- Develop and implement a data storage or processing solution
- Submit your solution and compete against other participants
Explore advanced data storage techniques
Show steps
To increase your understanding, explore advanced techniques that go beyond the scope of this course.
Browse courses on
NOSQL Databases
Show steps
Show steps
Show steps
- Find relevant tutorials on NoSQL databases, Big Data, and cloud storage
- Follow the tutorials and practice the techniques
- Experiment with different tools and technologies
Mentor a junior colleague or student in data storage and processing
Show steps
By teaching others you deepen your own understanding.
Show steps
Show steps
Show steps
- Identify someone who would benefit from your mentorship
- Set up regular meetings to provide guidance and support
- Share your knowledge and experience
- Provide feedback and encouragement
Career center
Learners who complete Approaches to Requirement Analysis for Efficient Data Storage and Processing will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
Data Architects design, construct, and manage data storage systems. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, can help you develop the skills and knowledge you need to design, implement, and support data storage solutions that meet the specific needs of your organization. You'll learn how to evaluate different data storage technologies and choose the right one for your application, and you'll gain the skills you need to implement and manage data storage systems that are efficient, reliable, and scalable.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, can help you develop the skills and knowledge you need to gather and analyze data, and you'll learn how to use data to solve business problems and make better decisions.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases to ensure that they are available, reliable, and secure. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, can help you develop the skills and knowledge you need to manage and maintain databases, and you'll learn how to design, implement, and support database solutions that meet the specific needs of your organization.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines that move data from one system to another. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, can help you develop the skills and knowledge you need to design, build, and maintain data pipelines, and you'll learn how to use data engineering tools and technologies to automate the movement of data.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems and make predictions. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, can help you develop the skills and knowledge you need to use data to solve business problems, and you'll learn how to use data science techniques and tools to make predictions and forecasts.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models that can learn from data and make predictions. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, can help you develop the skills and knowledge you need to build and maintain machine learning models, and you'll learn how to use machine learning techniques and tools to solve business problems.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to design and develop software systems that use data effectively, and you'll learn how to use software engineering principles and practices to build reliable and scalable software systems.
Business Analyst
Business Analyst
Business Analysts help organizations understand their business needs and develop solutions to meet those needs. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to understand business needs and develop data-driven solutions, and you'll learn how to use business analysis techniques and tools to gather and analyze data, and you'll learn how to use business analysis techniques and tools to gather and analyze data, and you'll learn how to use business analysis techniques and tools to gather and analyze data, and you'll learn how to use business analysis techniques and tools to gather and analyze data.
Product Manager
Product Manager
Product Managers are responsible for the development and management of products. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to manage products, and you'll learn how to use data to make informed decisions about product development and management.
Project Manager
Project Manager
Project Managers plan, execute, and control projects to achieve specific goals. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to plan and manage projects, and you'll learn how to use data to track project progress and make informed decisions.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software systems to ensure that they meet quality standards. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to test and evaluate software systems, and you'll learn how to use data to identify and fix defects.
IT Consultant
IT Consultant
IT Consultants provide advice and guidance to organizations on how to use technology to meet their business needs. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to provide advice and guidance to organizations, and you'll learn how to use data to help organizations make informed decisions about technology investments.
Data Librarian
Data Librarian
Data Librarians organize, manage, and provide access to data. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to organize, manage, and provide access to data, and you'll learn how to use data management techniques and tools to ensure that data is accessible, reliable, and secure.
Records Manager
Records Manager
Records Managers are responsible for the management and preservation of records. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to manage and preserve records, and you'll learn how to use records management techniques and tools to ensure that records are accessible, reliable, and secure.
Archivist
Archivist
Archivists are responsible for the preservation and management of historical records. This course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, may help you develop the skills and knowledge you need to preserve and manage historical records, and you'll learn how to use archival techniques and tools to ensure that records are accessible, reliable, and secure.
For more career information including salaries, visit:
OpenCourser.com/course/jrnl2d/approaches
Reading list
We've selected 15 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
Approaches to Requirement Analysis for Efficient Data Storage and Processing.
Covers the principles of designing and implementing data-intensive applications, including topics such as data modeling, data storage, and data processing. It would be a useful reference for understanding the design considerations for data storage and processing systems.
Classic textbook on database systems, covering a wide range of topics from data modeling to query processing. It would be a useful reference for students and practitioners who want to gain a comprehensive understanding of this field.
Provides a comprehensive introduction to Apache Spark, a popular open-source framework for distributed data processing. It would offer practical guidance on using Spark for data storage and processing tasks.
Comprehensive guide to the Hadoop framework, which is widely used for processing large datasets. It would provide in-depth knowledge of the Hadoop ecosystem and its components.
Save
Comprehensive guide to MongoDB, a popular open-source NoSQL database. It would provide in-depth knowledge of MongoDB's features and capabilities for data storage and processing.
Comprehensive guide to Elasticsearch, a popular open-source search and analytics engine. It would provide in-depth knowledge of Elasticsearch's features and capabilities for data storage and processing.
Save
Introduces the principles and best practices of building scalable real-time data systems. It would provide additional insights into the challenges and techniques involved in processing large-scale data in real-time.
Comprehensive guide to Cassandra, a popular open-source distributed database designed for handling large-scale data. It would provide in-depth knowledge of Cassandra's features and capabilities for data storage and processing.
Focuses on large-scale data processing using MapReduce, a programming model specifically designed for processing large datasets. It would provide additional depth on data processing techniques covered in the course.
Introduces the fundamentals of machine learning using the R programming language. It would provide a foundation for understanding the machine learning techniques that can be applied to data storage and processing.
Save
Provides a comprehensive overview of data mining techniques, including data preprocessing, feature selection, and model evaluation. It would be a valuable resource for gaining a deeper understanding of data analysis methods.
Save
Provides a concise overview of NoSQL databases, covering the different types of NoSQL databases and their use cases. It would be a valuable resource for students and practitioners who want to learn more about NoSQL databases.
Save
Provides a comprehensive overview of cloud computing, covering the different types of cloud services and their use cases. It would be a valuable resource for students and practitioners who want to learn more about cloud computing.
Comprehensive guide to Solr, covering the different components of Solr and how to use them to build and run search applications. It would be a valuable resource for students and practitioners who want to learn more about Solr.
Save
Comprehensive guide to Lucene, covering the different components of Lucene and how to use them to build and run search applications. It would be a valuable resource for students and practitioners who want to learn more about Lucene.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jrnl2d/approaches
Share
Similar courses
Here are nine courses similar to
Approaches to Requirement Analysis for Efficient Data Storage and Processing.
Implementing Data Storage with Azure Data Lake
OpenCourser.com/course/wi0j5l/implementing
Implementing Data Storage with Azure Data Lake
Most relevant
Analyze Data in a Model Car Database with MySQL Workbench
OpenCourser.com/course/7fihhb/analyze
Analyze Data in a Model Car Database with MySQL Workbench
Most relevant
Securing Android User Data with Kotlin
OpenCourser.com/course/lv1fpp/securing
Securing Android User Data with Kotlin
Most relevant
Architecting Big Data Solutions Using Google Dataproc
OpenCourser.com/course/zumt8q/architecting
Architecting Big Data Solutions Using Google Dataproc
Most relevant
DP-203: Secure, Monitor, and Optimize Data Storage and Processing
OpenCourser.com/course/x5morq/dp
DP-203: Secure, Monitor, and Optimize Data Storage and...
Optimizing Neural Networks for Efficient Data Processing
OpenCourser.com/course/e00hjz/optimizing
Optimizing Neural Networks for Efficient Data Processing
Advanced Searching and Reporting with Splunk Enterprise
OpenCourser.com/course/0bdc66/advanced
Advanced Searching and Reporting with Splunk Enterprise
Real-world Scenarios: SQL Server Query Tuning in Action
OpenCourser.com/course/1w9vm7/real
Real-world Scenarios: SQL Server Query Tuning in Action
DP-203: Data Ingestion and Preparation
OpenCourser.com/course/t3tat2/dp
DP-203: Data Ingestion and Preparation
Time
34 hours
Level
Intermediate
Via
Pluralsight
Instructor
Dayo Bamikole
Language
English
Good to know
Demystifies efficient data storage and processing approaches
Taught by Dayo Bamikole, an experienced professional in the field
Covers essential concepts for designing, implementing, and supporting data storage solutions
Focuses on ensuring data integrity and managing performance at scale
Helps learners develop a comprehensive understanding of data storage and processing
Suitable for beginners and professionals seeking to enhance their knowledge in data management
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser