Setting Up Multi-Node Hadoop Cluster , just got easy !

In this blog,we are going to embark the journey of how to setup the Hadoop Multi-Node cluster on a distributed environment. So lets do not waste any time, and let’s get started. Here are step…

Source: Setting Up Multi-Node Hadoop Cluster , just got easy !

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Are we really eliminating central authorities with blockchain?

Knoldus

There is a lot of promise around blockchains. While we at DeepChains do subscribe to the philosophy and would be eager to provide business solutions to meet the industry needs but there has been a lot of double talk, it seems with blockchains.

The premise of blockchain is the following

  • No central registration – No big papa.
  • Decentralized – there is no single point of failure.
  • Safe – Encrypted and secure.
  • Private – My data as an individual is not held by a central authority. I choose what to share
  • Secure – end-to-end encrypted communication routed over Tor.
  • Open – Open source code

However, for all the so-called currency exchanges, this does not seem to be the case. Let us understand the premise of Bitcoins philosophy first. If you look at the image below, we are trying to get rid of any central agencies,

screenshot-from-2016-11-27-13-37-34

We are trying to get rid…

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Spark – LDA : A Complete example of clustering algorithm for topic discovery.

Knoldus

In this blog we will be demonstrating the functionality of applying the full ML pipeline over a set of documents which in this case we are using 10 books from the internet.

So lets start with first thing first..

What is Clustering ?

Clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statisticaldata analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, bioinformatics, data compression, and computer graphics.

Clustering when applied on the textual data , then it is known as Document Clustering.

It has applications in automatic…

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Four Myths of In-Memory Computing

GridGain - In-Memory Computing

As any fast growing technology In-Memory Computing has attracted a lot of interest and writing in the last couple of years. It’s bound to happen that some of the information gets stale pretty quickly – while other is simply not very accurate to being with. And thus myths are starting to grow and take hold.

I want to talk about some of the misconceptions that we are hearing almost on a daily basis here at GridGain and provide necessary clarification (at least from our our point of view). Being one of the oldest company working in in-memory computing space for the last 7 years we’ve heard and seen all of it by now – and earned a certain amount of perspective on what in-memory computing is and, most importantly, what it isn’t.

In-Memory Computing

Let’s start at… the beginning. What is the in-memory computing? Kirill Sheynkman from RTP Ventures gave…

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Scala – IOT : First basic IOT application using Scala on RaspberryPi

Knoldus

Let’s start our journey for making the first IoT application to make world a better place 😉
(I would never miss a chance to mock Hooli ! 😉 )

In this blog finally the two technologies SCALA and IOT  will meet and we will be doing these many things in this blog:

  1. Setting up the scala sbt environment on RaspberryPi
  2. Developing your first IOT application using Scala
  3. Deploying the developed application on RaspberryPi.

And finally we are going to achieve this:

IMG_20160827_203534_HDR

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Scala vs Kotlin

Agilewombat

It’s been a long time since I’ve updated this blog. Over the year I’ve moved away from Scala as my preferred language and towards Kotlin. I’ve found Kotlin a refreshing approach as its borrowed a lot of the good things I liked about Scala but kept it simple and practical by avoiding a lot of the gotchas and ambiguity that can exist in Scala.

Here is a collection of things I like about Scala and Kotlin and also a comparison of how these features are accomplished in each language.

Type Declaration and Inference

Something I love about both these languages is they both have static typing with type inference. This gives you the power of compile time type checking with out the declarative boiler plate. Largely it works the same in both languages. Both languages also have preference to immutable type declaration as well with the optional type declaration being…

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