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- Mapreduce: MR Model Abstraction for Future Security Study
- Staggeringly Large File Systems
- Handling Large Datasets at Google: Current Systems and Future Directions
- Mapreduce: Simplified Data Processing on Large Clusters
- Mapreduce: Simplified Data Processing on Large Clusters
- An Executive's Guide to AI
- Digital Marketing Handbook
- A Structure for Hadoop
- Exploiting Latent Features of Text and Graphs
- Wisckey: Separating Keys from Values in SSD-Conscious Storage Lanyue Lu, Thanumalayan Sankaranarayana Pillai, Andrea C
- Comparative Analysis, Security Aspects & Optimization of Workload
- The Friendship That Made Google Huge | the New Yorker 12/9/18, 4:19 PM
- Bigtable: a Distributed Storage System for Structured Data
- Mapreduce Jeffrey Dean and Sanjay Ghemawat Background Context • BIG DATA!! O Large-Scale Services Generate Huge Volumes Of
- Projecto Em Engenharia Informatica
- Data Center Fundamentals: the Datacenter As a Computer
- ACM and Infosys Foundation Honor Google Developers for Innovations That Transformed Internet-Scale Computing
- SUMMARY: Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Mike Burrows, Tushar Chandra, Andrew Fikes, and Robert E
- Experiences with Mapreduce, an Abstraction for Large-Scale Computation
- Gw222.Pdf (1.685Mb)
- Introduction to Information Retrieval
- Handling Large Datasets at Google: Current Systems and Future Directions
- Mapreduce & Resilient Distributed Datasets
- Tensor, Tensor Networks, Quantum Tensor Networks in Machine Learning: an Hourglass Architecture
- The Google File System
- Mapreduce: Simplified Data Processing on Large Clusters
- Efficient, Scalable, and Accurate Program Fingerprinting in Binary Code
- Analysis of Media Datasets Using Hadoop Mapreduce
- Association for Computing Machinery 2 Penn Plaza, Suite 701, New York
- Sample Syllabus
- 15-712: Advanced Operating Systems & Distributed Systems Virtual
- Licensing Information for Cisco JVDI Agent Release 12.7
- Tensorflow: Large-Scale Machine Learning on Heterogeneous
- Google's Hybrid Approach to Research
- Mapreduce: Simplified Data Processing on Large Clusters
- Software Engineering at Google Lessons Learned from Programming Over Time
- Bigtable, Spanner,
- Exploiting Flaws in Big Data Systems Michael G
- Resilient Distributed Datasets (RDD) Paper in NSDI 2012
- Improving the Performance of Google File System to Support Big Data
- The Google Stack