Latest technologies and tends in IT industry

Dear All,

In this post we will discuss about latest trends in IT industry. These topics can be chosen for seminar topics in your academic curriculum.

Have you heard about BlockChaining, Webscrapping & elasticsearch. Both of these are trending technologies in IT industry now a days.

• BlockChaining:

Blockchaining is a distributed system application. The term block Chain was coined in 2008 and was implemented as a core component in digital currency i.e bitcoin in 2009. Block chain is secure by cryptographic design. The block are immutable entity in this architecture. It is used as a digital ledger to keep record of electronic transactions. Due to replication of data on immutable nodes it is tolerant to hacking attacks. To adversely affect any value in a block the intruder will need to access all the nodes where the data is replicated which has quite low probability of occurrence.

• Elasticsearch:

In the era of data Analytics, elasticsearch is new tiger of the market. It is again a distributed and RESTful analytics engine with extensive capabilities of integration with different technology platforms. It can also be used along with hadoop for faster analysis. It uses inverted indexing in its core for analysis. Just like hadoop it is horizontally scalable in nature.

• IoT- Internet of Things:

You all might be aware of the customization of products and ease of access and control. All these are small footprints of coming era of IoT. Every device connected with every other device, communicating without any human intervention. For a non-techie its just a market shift in product segments but for a tech guy its a field poured with challenges as well as opportunities in all segments. You can design and test various models using Raspberry-pi and packet-tracer frameworks.

• Data Streams and Data Pipes

Data Pipes are the technology frameworks which works in between two or more platforms which may be working as data source, processing framework or data sink. In this world of big data these technologies have utmost importance as there are different data sources distributed across the globe and you may need to bring all data to one processing framework. Some of the data piping solutions also offers on the go processing and vigilance of the events or data logs. Kafka and NiFi are two revolutionary technologies which are making their strong presence in this domain with wide applicability.

some more details and other topics will appear soon on this post. To keep track of industry trends in the field of big data, IoT & Analytics like our initiative at DataioticsHub

Updating version of R in ubuntu

Dear Technocrats,

This post is for R/Rstudio programmers. As we all know that Rstudio is a package based framework. Many new packages are not supported by older version of R. So in this post I am explaining the procedure to update version of R in your system.

I was having R 3.2.x in my Ubuntu Machine,

and I am showing step by step procedure to update the R version to 3.4.x.

(Note: As we know that R is already installed in our system so it needs to be upgraded. For this we need to mention its online repository path in /etc/apt/sources.list file as shown below:

Now save this and run sudo apt-get update command. It may throw an error as shown below:

To solve this problem you need to authenticate public key by these two commands

After this run the commands

sudo apt-get update
sudo apt-get upgrade r-base

you will get your updated version of R on your Ubuntu Machine as shown.

Hope this post will be helpful. For more updates keep visiting the blog.

Installation of R in Ubuntu

Dear Technocrates,

Now a days R is getting more and more focus due to its ease of use for implementation of machine learning algorithms on large data analysis projects and for data visualization.

In this post I am giving steps to install R and Rstudio in your Ubuntu Machine. Installation of R/Rstudtio in ubuntu is just 3 steps procedure.

1. sudo apt-get update
2. sudo apt-get install r-base

These commands will install available version of R in your machine. You can check the version of R by type the command R on your terminal. To come out of terminal just type

quit();

It will ask to save or not to save your workspace as per your choice just come out of the terminal.
To install the R studio now download the rstudio-1.0.143-amd64.deb in your system and just give the command sudo gdebi rstudio-1.0.143-amd64.deb . Ensure that you are in the same directory in which debian file is downloaded or you have given the right path to that file.
Note: if gdebi is not installed in you system just install it first by simple command:
sudo apt-get install gdebi

You are done. just type rstudio in your terminal as shown:

you will have the rstudio GUI interface in your system as shown below.

Now you can play with features of R on this Rstudio interface. For more updates of programming with R keep visiting the blog.

Rstudio is a package based programming framework. You just install the packages form right side window packages and install option. just type the package you need to install and it will be installed with no efforts.

Most of the packages will be installed simply. But a few new packages may throw error. It is due to version of R. If you have some older version of R installed on your machine there is no escape plan to install new packages in Rstudio other than upgrading your R version.

How to upgrade R in Ubuntu
Upgrading R version in Ubuntu is tricky procedure. Visit this post to find the steps to upgrade R version in Ubuntu machine.