Knowing basics around Python is a need for development in Data Science. In our previous guides we talked about installing Jupyter and working with Jupyter. This article is not exactly related to Jupyter Notebook but is very important for the developers around big data and data science. Here is List of Python Libraries For Data Science & Machine Learning. List of Python Libraries … [Read more...]
How to Install Apache BigTop on Ubuntu 16.04
Possibly Apache BigTop is confusing to many of the new users for the simple fact - peoples know about Hadoop without many parts and tools. Apache Ambari is another tool which confuses the new users. Apache BigTop is a Big Data management distribution. On official website, there will be good information to clarify any doubt. Here are the SSH commands showing how to install Apache BigTop on Ubuntu … [Read more...]
Jupyter Notebook Tutorial : Part 2
In Part 2 of our Jupyter Notebook Tutorial series, we will learn installing packages in Jupyter, importing data, plotting inline etc works. Our Part 1 of Jupyter Notebook Tutorial was on how to install on localhost or server - on Mac OS X or GNU/Linux. For quick recapitulation to unused with Python, normally on terminal, if you run : [crayon-59c89fb393dff764649783/] then it will start Python … [Read more...]
Jupyter Notebook Tutorial : Part 1
Jupyter is a kind of acronym to mean Julia, Python, and R. Jupyter runs code in many programming languages and Python 3.3 or greater, or Python 2.7 need for installing the Jupyter Notebook. We can install Jupyter with PIP but using the Anaconda distribution to install Python and Jupyter is what is officially recommended. This article is how to install Jupyter Notebook tutorial as part 1 of the … [Read more...]
Overview of Cloud Based Big Data Platforms And Tools From IBM
The goal of this article, Overview of Cloud Based Big Data Platforms And Tools From IBM is to classify the Big Data tools offered by IBM. Also, it will provide the readers an idea around what the big data tools IBM has. As our experience is as user, this article possibly will help the prospective users and developers from easily testing their tools or plan a complete setup. Among so many products … [Read more...]
Create Data Science Environment on Cloud Server With Docker
This guide is not directly related to typical Big Data tools like Hadoop. In this guide we will configuring Docker and Jupyter on a cloud server. Here are the steps, commands to create data science environment on cloud server with Docker for data analysis starting with a blank server with SSH. The users following this guide must have adequate knowledge so that they do not need to read guides like … [Read more...]
Advantages & Disadvantages of Using IBM Big Data Analytics On Cloud
Discussing around the advantages & disadvantages would be just a list. In order to discuss and study advantages & disadvantages of using IBM Big data analytics on cloud in details, we need to try to understand the strategy of a company providing the service, have an overview of the major commonly used products, analyze the documentations and free resources offered. The term Big Data, which is … [Read more...]
What is Fog Computing, Fog Networking, Fogging
Fog computing is a system-wide architecture made up with near-user edge devices which is useful for deploying seamlessly resources and services for computing, data storage, network capabilities over the infrastructure that connects Cloud to the Internet of Things (IoT). Fog Computing is an extension and improvement of the Cloud paradigm in support of IoT applications that must comply with precise … [Read more...]