Descriptions
Large-Scale Database Systems Specialization, The specialization Large-Scale Database Systems is designed for post-graduate students aiming to develop advanced skills in distributed database systems, cloud computing, and machine learning. Across three comprehensive courses, you will explore distributed database architecture, transaction management, concurrency control, query optimization, and data reliability protocols, preparing you to manage complex data environments. You will gain hands-on experience with cloud computing concepts, including Hadoop and the MapReduce framework, essential for large-scale data processing. Additionally, you will study machine learning applications such as collaborative filtering, clustering, and classification, learning to optimize these models for scalable analysis in distributed systems. By the end, you will understand how to optimize large-scale data warehouses and implement machine learning algorithms for scalable analysis. This specialization prepares you to design and optimize high-performance, fault-tolerant data solutions, making you ready to work with large-scale distributed systems in industries like data analytics, cloud services, and machine learning development. Learners will engage in real-world scenarios that challenge them to manage and optimize distributed database systems while reflecting on their professional goals. Through self-reflective readings, you will connect technical concepts to your own experiences, considering the impact of your decisions on system design, scalability, and security.
What you’ll learn
- Master database systems, including transaction management, query optimization, and data warehousing principles for large-scale environments.
- Develop proficiency in cloud computing concepts, using Hadoop and Accumulo for data processing and storage in distributed systems.
- Apply machine learning techniques such as clustering and collaborative filtering to analyze big data and enhance system reliability.
Who this course is for
- Post-graduate students seeking advanced expertise in distributed database systems, cloud computing, and machine learning.
- Professionals aiming to design and optimize large-scale, fault-tolerant data solutions.
- Engineers and analysts working in data analytics, cloud services, or machine learning development.
- Anyone interested in mastering scalable data management and distributed computing concepts.
Specificatoin of Large-Scale Database Systems Specialization
- Publisher : Coursera
- Teacher : David Silberberg
- Language : English
- Level : Intermediate
- Number of Course : 3
- Duration : 12 weeks to complete at 5 hours a week
Content of Large-Scale Database Systems Specialization
Requirements
- A background in distributed systems, database management, cloud computing, and machine learning is recommended.
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Course 1 – Foundations of Distributed Database Systems
Course 2 – Distributed Query Optimization and Security
Course 3 – Reliability, Cloud Computing and Machine Learning
Password file(s): www.downloadly.ir
File size
790 MB
