
In-Memory Computing
James Henry
In-Memory Computing: Revolutionizing Data Processing and Analytics for Real-Time Decision-Making in the Age of Big Data offers an in-depth exploration of one of the most transformative technologies shaping modern data management. As organizations grapple with the explosive growth of data and the need for instantaneous insights, in-memory computing emerges as a critical solution to enhance data processing speed and efficiency.
This comprehensive guide delves into the core principles of in-memory computing, explaining how it leverages the power of RAM to dramatically reduce latency and improve performance. Readers will discover the architecture and technologies that underpin in-memory systems, including data grids, analytics platforms, and real-time processing frameworks.
Through insightful case studies and practical examples, this book highlights the diverse applications of in-memory computing across industries such as finance, e-commerce, telecommunications, and healthcare. It reveals how businesses are using this technology to make informed, timely decisions that drive growth and innovation.
As the demand for real-time analytics continues to grow, this book serves as an essential resource for data professionals, IT leaders, and decision-makers looking to stay ahead in the data-driven landscape. Join the revolution in data processing and analytics, and discover how in-memory computing can transform your organization’s decision-making capabilities in the age of big data.
Duration - 3h 27m.
Author - James Henry.
Narrator - Rayan Mitchell.
Published Date - Monday, 06 January 2025.
Copyright - © 2025 James Henry ©.
Location:
United States
Description:
In-Memory Computing: Revolutionizing Data Processing and Analytics for Real-Time Decision-Making in the Age of Big Data offers an in-depth exploration of one of the most transformative technologies shaping modern data management. As organizations grapple with the explosive growth of data and the need for instantaneous insights, in-memory computing emerges as a critical solution to enhance data processing speed and efficiency. This comprehensive guide delves into the core principles of in-memory computing, explaining how it leverages the power of RAM to dramatically reduce latency and improve performance. Readers will discover the architecture and technologies that underpin in-memory systems, including data grids, analytics platforms, and real-time processing frameworks. Through insightful case studies and practical examples, this book highlights the diverse applications of in-memory computing across industries such as finance, e-commerce, telecommunications, and healthcare. It reveals how businesses are using this technology to make informed, timely decisions that drive growth and innovation. As the demand for real-time analytics continues to grow, this book serves as an essential resource for data professionals, IT leaders, and decision-makers looking to stay ahead in the data-driven landscape. Join the revolution in data processing and analytics, and discover how in-memory computing can transform your organization’s decision-making capabilities in the age of big data. Duration - 3h 27m. Author - James Henry. Narrator - Rayan Mitchell. Published Date - Monday, 06 January 2025. Copyright - © 2025 James Henry ©.
Language:
English
Opening Credits
Duration:00:00:14
Introduction to in memory computing
Duration:00:08:57
The architecture of in memory computing
Duration:00:16:34
Core concepts and technologies
Duration:00:15:58
Benefits of in memory computing
Duration:00:28:36
Use cases and applications
Duration:00:19:41
Challenges and considerations
Duration:00:35:40
Popular in memory computing technologies and tools
Duration:00:13:51
Future trends in in memory computing
Duration:00:14:29
Best practices for implementation
Duration:00:41:29
Data modeling strategies
Duration:00:05:28
Conclusion
Duration:00:05:54
Ending Credits
Duration:00:00:15