Distributed filesystems (03) (Hệ thống tệp phân tán)
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- University of Hildesheim
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Slide bài giảng về Hệ thống tệp phân tán (Distributed File Systems) trong khóa học Big Data Analytics, bao gồm các chủ đề như GFS, HDFS và Hadoop.
- ドキュメント名
- Distributed filesystems (03) (Hệ thống tệp phân tán)
- 学校 / コース
- University of Hildesheim · Big Data
- 内容
- Tài liệu này giải thích lý do cần hệ thống tệp phân tán, định nghĩa nó, và giới thiệu GFS cùng HDFS. Nó nhấn mạnh vào việc đọc dữ liệu lớn nhanh, khả năng mở rộng và chịu lỗi.
- 目次
- 0. Introduction
- A. Parallel Computing
- A.1 Threads
- A.2 Message Passing Interface (MPI)
- A.3 Graphical Processing Units (GPUs)
- B. Distributed Storage
- B.1 Distributed File Systems
- B.2 Partioning of Relational Databases
- B.3 NoSQL Databases
- C. Distributed Computing Environments
- C.1 Map-Reduce
- C.2 Resilient Distributed Datasets (Spark)
- C.3 Computational Graphs (TensorFlow)
- D. Distributed Machine Learning Algorithms
- D.1 Distributed Stochastic Gradient Descent
- D.2 Distributed Matrix Factorization
- Questions and Answers
- Outline
- 1. Why do we need a Distributed File System?
- 2. What is a Distributed File System?
- 3. GFS and HDFS
- 4. Hadoop Distributed File System (HDFS)
- ページ数
- 57 ページ
- アップロード者
- Uni24h
説明
Trích nội dung tài liệu
Big Data Analytics Big Data Analytics B. Distributed Storage / B.1 Distributed File Systems Lars Schmidt-Thieme Information Systems and Machine Learning Lab (ISMLL) Institute for Computer Science University of Hildesheim, Germany Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany 1 / 29 Big Data Analytics Syllabus Tue. 9.4. (1) 0. Introduction Tue. 16.4. Tue. 23.4. Tue. 30.4. (2) (3) (4) A. Parallel Computing A.1 Threads A.2 Message Passing Interface (MPI) A.3 Graphical Processing Units (GPUs) Tue. 7.5. Tue. 14.5. Tue. 21.5. (5) (6) (7) B. Distributed Storage B.1 Distributed File Systems B.2 Partioning of Relational Databases B.3 NoSQL Databases Tue. 28.5. Tue. 4.6. Tue. 11.6. Tue. 18.6. (8) (9) (10) C. Distributed Computing Environments C.1 Map-Reduce Pentecoste Break — C.2 Resilient Distributed Datasets (Spark) C.3 Computational Graphs (TensorFlow) Tue. 25.6. Tue. 2.7. (11) (12) D. Distributed Machine Learning Algorithms D.1 Distributed Stochastic Gradient Descent D.2 Distributed Matrix Factorization Tue. 9.7. (13) Questions and Answers Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany 1 / 29 Big Data Analytics Outline 1. Why do we need a Distributed File System? 2. What is a Distributed File System? 3. GFS and HDFS 4. Hadoop Distributed File System (HDFS) Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany 1 / 29 Big Data Analytics 1. Why do we need a Distributed File System? Outline 1. Why do we need a Distributed File System? 2. What is a Distributed File System? 3. GFS and HDFS 4. Hadoop Distributed File System (HDFS) Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany 1 / 29 Big Data Analytics 1. Why do we need a Distributed File System? Why do we need a Distributed File System? Lars Schmi
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Distributed filesystems (03) (Hệ thống tệp phân tán)
プレビューを生成中...
Trích nội dung tài liệu
Big Data Analytics Big Data Analytics B. Distributed Storage / B.1 Distributed File Systems Lars Schmidt-Thieme Information Systems and Machine Learning Lab (ISMLL) Institute for Computer Science University of Hildesheim, Germany Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany 1 / 29 Big Data Analytics Syllabus Tue. 9.4. (1) 0. Introduction Tue. 16.4. Tue. 23.4. Tue. 30.4. (2) (3) (4) A. Parallel Computing A.1 Threads A.2 Message Passing Interface (MPI) A.3 Graphical Processing Units (GPUs) Tue. 7.5. Tue. 14.5. Tue. 21.5. (5) (6) (7) B. Distributed Storage B.1 Distributed File Systems B.2 Partioning of Relational Databases B.3 NoSQL Databases Tue. 28.5. Tue. 4.6. Tue. 11.6. Tue. 18.6. (8) (9) (10) C. Distributed Computing Environments C.1 Map-Reduce Pentecoste Break — C.2 Resilient Distributed Datasets (Spark) C.3 Computational Graphs (TensorFlow) Tue. 25.6. Tue. 2.7. (11) (12) D. Distributed Machine Learning Algorithms D.1 Distributed Stochastic Gradient Descent D.2 Distributed Matrix Factorization Tue. 9.7. (13) Questions and Answers Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany 1 / 29 Big Data Analytics Outline 1. Why do we need a Distributed File System? 2. What is a Distributed File System? 3. GFS and HDFS 4. Hadoop Distributed File System (HDFS) Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany 1 / 29 Big Data Analytics 1. Why do we need a Distributed File System? Outline 1. Why do we need a Distributed File System? 2. What is a Distributed File System? 3. GFS and HDFS 4. Hadoop Distributed File System (HDFS) Lars Schmidt-Thieme, Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany 1 / 29 Big Data Analytics 1. Why do we need a Distributed File System? Why do we need a Distributed File System? Lars Schmi
- ドキュメント名
- Distributed filesystems (03) (Hệ thống tệp phân tán)
- 学校 / コース
- University of Hildesheim · Big Data
- 内容
- Tài liệu này giải thích lý do cần hệ thống tệp phân tán, định nghĩa nó, và giới thiệu GFS cùng HDFS. Nó nhấn mạnh vào việc đọc dữ liệu lớn nhanh, khả năng mở rộng và chịu lỗi.
- 目次
- 0. Introduction
- A. Parallel Computing
- A.1 Threads
- A.2 Message Passing Interface (MPI)
- A.3 Graphical Processing Units (GPUs)
- B. Distributed Storage
- B.1 Distributed File Systems
- B.2 Partioning of Relational Databases
- B.3 NoSQL Databases
- C. Distributed Computing Environments
- C.1 Map-Reduce
- C.2 Resilient Distributed Datasets (Spark)
- C.3 Computational Graphs (TensorFlow)
- D. Distributed Machine Learning Algorithms
- D.1 Distributed Stochastic Gradient Descent
- D.2 Distributed Matrix Factorization
- Questions and Answers
- Outline
- 1. Why do we need a Distributed File System?
- 2. What is a Distributed File System?
- 3. GFS and HDFS
- 4. Hadoop Distributed File System (HDFS)
- ページ数
- 57 ページ
- アップロード者
- Uni24h
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