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Hadoop Summit 2015 Highlights. June 14, 2015. June 18, 2015. I attended the Hadoop summit held at San jose in June and here are my observations on the same. 1 Near Real time streaming is the trend. Every one wants to do this. Apache Spark clearly stands out. 2 Apache Flink seems to be emerging player in the real-time streaming space. B Flink promises low level latency than Spark Streaming (that still uses micro batching). 4 Industry is accepting Kafka as the go-to distributed messaging system. Almost...

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Software Solutions | swsolutionsblog.wordpress.com Reviews

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Hadoop Summit 2015 Highlights. June 14, 2015. June 18, 2015. I attended the Hadoop summit held at San jose in June and here are my observations on the same. 1 Near Real time streaming is the trend. Every one wants to do this. Apache Spark clearly stands out. 2 Apache Flink seems to be emerging player in the real-time streaming space. B Flink promises low level latency than Spark Streaming (that still uses micro batching). 4 Industry is accepting Kafka as the go-to distributed messaging system. Almost...

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Software Solutions | swsolutionsblog.wordpress.com Reviews

https://swsolutionsblog.wordpress.com

Hadoop Summit 2015 Highlights. June 14, 2015. June 18, 2015. I attended the Hadoop summit held at San jose in June and here are my observations on the same. 1 Near Real time streaming is the trend. Every one wants to do this. Apache Spark clearly stands out. 2 Apache Flink seems to be emerging player in the real-time streaming space. B Flink promises low level latency than Spark Streaming (that still uses micro batching). 4 Industry is accepting Kafka as the go-to distributed messaging system. Almost...

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Sinatra : For mocking WebServices | Software Solutions

https://swsolutionsblog.wordpress.com/2015/01/25/sinatra-for-mocking-webservices

Sinatra : For mocking WebServices. January 25, 2015. January 26, 2015. With patterns like Microservices and MVC emerging, we often see different teams working on different modules there by creating a huge dependency between teams. For example, UI team waiting on the back end team to provide an end point. Install Sinatra : Run the below 2 commands from command line. Note : Install gem. Before running the below commands. Sudo gem install sinatra. Sudo gem install j son. Download sample source code. 2015-01...

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Hadoop Summit 2015 Highlights | Software Solutions

https://swsolutionsblog.wordpress.com/2015/06/14/hadoop-summit-2015-highlights

Hadoop Summit 2015 Highlights. June 14, 2015. June 18, 2015. I attended the Hadoop summit held at San jose in June and here are my observations on the same. 1 Near Real time streaming is the trend. Every one wants to do this. Apache Spark clearly stands out. 2 Apache Flink seems to be emerging player in the real-time streaming space. B Flink promises low level latency than Spark Streaming (that still uses micro batching). 4 Industry is accepting Kafka as the go-to distributed messaging system. Almost...

3

kranthisb | Software Solutions

https://swsolutionsblog.wordpress.com/author/kranthisb

Hadoop Summit 2015 Highlights. June 14, 2015. June 18, 2015. I attended the Hadoop summit held at San jose in June and here are my observations on the same. 1 Near Real time streaming is the trend. Every one wants to do this. Apache Spark clearly stands out. 2 Apache Flink seems to be emerging player in the real-time streaming space. B Flink promises low level latency than Spark Streaming (that still uses micro batching). 4 Industry is accepting Kafka as the go-to distributed messaging system. Almost...

4

ActiveMQ Master/Slave Setup [With MSql persistence layer] | Software Solutions

https://swsolutionsblog.wordpress.com/2015/01/26/masterslave-activemq-setup-with-msql-persistence-layer

ActiveMQ Master/Slave Setup [With MSql persistence layer]. January 26, 2015. January 26, 2015. Been trying to configure Master/Slave ActiveMQ instances with MySQL as the persistence layer. I ran into multiple blockers and hence decided to document my findings that would help someone during the set-up. To bring up 2 instances (Master and Slave) of ActiveMQ on 2 different servers. To achieve higher reliability we decided to persist the message in MySQL before they are consumed by the consumers. Note and Im...

5

Keeping two systems in sync (Close to Real time) | Software Solutions

https://swsolutionsblog.wordpress.com/2015/05/14/keeping-two-systems-in-sync-close-to-real-time

Keeping two systems in sync (Close to Real time). May 14, 2015. May 14, 2015. Was trying to solve a problem. Thought I will share my learnings here… Please comment if you have any alternate or better solutions. 1 Two systems, (say GITHub and GitHub Backup) should be in sync. 2 If a user checks-in his changes into the main repository, those changes should be replicated into the backup repository in almost real-time. Things to consider during design:. B ActiveMQ Network Brokers:. I SyncRequestService will ...

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Graph & Tree algorithms | Sada Kurapati

https://sadakurapati.wordpress.com/2014/01/06/graph-tree-algorithms

Lost in ever growing technology…. N Queens Backtracking algorithm. Graphs and Trees – Shortest Path (BFS, Dijkstra, Bellman Ford) →. Graph and Tree algorithms. Graphs directed, undirected and special case of directed which are called Directed Acyclic Graph(DAG). Trees Binary trees and also most useful version of it, the Binary Search Trees (BST). Standard traversal techniques Breadth First Search (BFS), Depth First Search (DFS). Overview of shortest path algorithms BFS, Dijkstra and Bellman Ford. Here in...

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Hadoop Summit 2015 Highlights. June 14, 2015. June 18, 2015. I attended the Hadoop summit held at San jose in June and here are my observations on the same. 1 Near Real time streaming is the trend. Every one wants to do this. Apache Spark clearly stands out. 2 Apache Flink seems to be emerging player in the real-time streaming space. B Flink promises low level latency than Spark Streaming (that still uses micro batching). 4 Industry is accepting Kafka as the go-to distributed messaging system. Almost...

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