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Showing posts with the label Distributed Computing

RDBMS to NoSQL - A story about (r)Evolution in Databases

Over the last few days, few of my friends have been asking me about NoSQL and its relevance.  I have been casually trying to answer this, but have always felt that this subject need to elaborated.  Through the slide deck, I have tried to provide a perspective on this subject. RDBMS to NoSQL. An overview. View more PowerPoint from Girish Raghavan Hope it helps. P.S:  Some of the slides ended up looking very busy. My apologies for that. This is a result of trying to balance between content (without sufficient audio explanations) and managing the size of the deck.

Eight Fallacies of Distributed Computing.

By Peter Deutsch   and James Gosling Essentially everyone, when they first build a distributed application, makes the following eight assumptions. All prove to be false in the long run and all cause big trouble and painful learning experiences. 1. The network is reliable 2. Latency is zero 3. Bandwidth is infinite 4. The network is secure 5. Topology doesn't change 6. There is one administrator 7. Transport cost is zero 8. The network is homogeneous There is a great article by Arnon Rotem-Gal-O z  explaining the same.  Read it if you are interested.  (Ref:  http://nighthacks.com/roller/jag/resource/Fallacies.html )

Big Data: Understanding CAP Theorem.

Definition: In theoretical computer science, the CAP Theorem, also known as Brewer's theorem, states that it is impossible for a distributed computer system to simultaneously provide all three of the following guarantees: Consistency (C) Availability (A) Partition Tolerance (P) According to the theorem, a distributed system can satisfy any two of these guarantees at the same time, but not all the three. ( Reference: Wikipedia ) Relevance and Importance: It has been over twelve years since, Eric Brewer , then a scientist at University of California Berkeley, made the conjuncture which led to what we now universally acknowledge as CAP Theorem.  But over these years, CAP theorem has changed the rules and proved to be one of the significant seeds on determining how a highly scalable and distributed computing platform can be built.  Over these twelve years, this theorem has ended up as one of the primary read for anyone who is involve...