Blogging Tips: Hadoop

Showing posts with label Hadoop. Show all posts

Spark Streaming

In this post, we'll discuss another important topic of big data processing: real-time stream processing area. This is an area where Had...

While Hadoop fits well in most batch processing workload, and is the primary choice of big data processing today, it is not optimized for ot...

Inspired by Dr. Gautam Shroff who teaches the class: Web Intelligence and Big data in coursera.org, there are many scenarios where we want t...

" Big Data Analytics " has recently been one of the hottest buzzwords. It is a combination of "Big Data" and "Deep...

Hadoop Map/Reduce model is very good in processing large amount of data in parallel. It provides a general partitioning mechanism (based o...

Since the emerging of Hadoop implementation, I have been trying to morph existing algorithms from various areas into the map/reduce model. ...

Hadoop is getting more popular these days. Lets look at what it is good at and what not. The Map/Reduce Programming model Map/Reduce offers...

In my previous post, I talk about the methodology of transforming a sequential algorithm into parallel. After that, we can implement the pa...