Zubair Nabi

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Part of the Big Data Analytics and Systems team. My work has three broad strands: 1) Hardcore Big Data Systems: from batch (Hadoop-like), real-time (Streams/Storm-like), interactive systems (Spark-like), and resource management (YARN-like) to storage (NoSQL + in-memory) and message queues (MQTT-like) and everything in the middle. 2) Application of Big Data Systems to real-world analytics: Telco, Electricity, Urban Dynamics, etc. 3) Bridging the gap between the technical and non-technical worlds viz evangelism, engaging in research strategy, internal/external presentations, etc.

big data hadoop mapreduce nosql newsql datacenters video conferencing ict4d pakistan censorship internet

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About

Zubair Nabi

Presentations

Topic 1: Big Data and Warehouse-scale Computing

Topic 3: Large-scale Distributed Systems

Topic 2: Cloud Computing Paradigms

Topic 4: Concurrency

Topic 5: MapReduce Theory and Implementation

Topic 6: MapReduce Applications

Lab 1: Introduction to Amazon EC2 and MPI

Topic 7: Shortcomings in the MapReduce Paradigm

Topic 8: Enhancements and Alternative Architectures

Topic 9: MR+

Lab 3: Writing a Naiad Application

Topic 11: Google Filesystem

Topic 10: Taxonomy of Data and Storage

Lab 4: Interfacing with Cassandra

Topic 12: NoSQL in Action

Lab 5: Interconnecting a Datacenter using Mininet

Topic 13: Cloud Stacks

Topic 14: Operating Systems and Virtualization

Topic 15: Datacenter Design and Networking

MapReduce Application Scripting

MapReduce and DBMS Hybrids

The Anatomy of Web Censorship in Pakistan

Raabta: Low-cost Video Conferencing for the Developing World

The Big Data Stack

AOS Lab 1: Hello, Linux!

AOS Lab 2: Hello, xv6!

AOS Lab 1: Hello, Linux!

AOS Lab 4: If you liked it, then you should have put a “lock” on it

AOS Lab 5: System calls

AOS Lab 6: Scheduling