TECHBYTES





Why Learning Docker Containers is so important in IT industry?

Why Learning Docker Containers is so important in IT industry?    Ashish Pandey

Containerization/Dockerization is a way of packaging your application and run it in an isolated manner so that it does not matter in which environment it is being deployed. In the DevOps ecosystem containers are being used at large scale. and this is just...




zekeLabs among Top 10 destinations to learn AI & Machine Learning

zekeLabs among Top 10 destinations to learn AI & Machine Learning    Ashish Pandey

Artificial Intelligence course from zekeLabs has been featured as one of the Top-10 AI courses in a recent study by Analytics India Magazine in 2018. Here is what makes our courses one of the best in the industry.




Mass layoffs in IT Majors – speculations - facts - and the future ahead !

Mass layoffs in IT Majors – speculations - facts - and the future ahead !    Arman Ahmed

If you are an IT professional in India this may scare you a bit. Hearsay is Indian IT services companies are on a firing spree. A significant number of layoffs have prominently been made public from companies that include big names like Cognizant, IBM, Info...




What are Big Data, Hadoop & Spark ? What is the relationship among them ?

What are Big Data, Hadoop & Spark ? What is the relationship among them ?    Awantik Das

Big Data is a problem statement & what it means is the size of data under process has grown to 100's of petabytes ( 1 PB = 1000TB ). Yahoo mail generates some 40-50 PB of data every day. Yahoo has to read that 40-50 PB of data & filter out spans. E-commerce...




How can I become a data scientist from an absolute beginner level to an advanced level?

How can I become a data scientist from an absolute beginner level to an advanced level?    Awantik Das

This is the question that every budding Data Scientist asks himself while starting on the tedious yet adventurous journey to the world of Data Science. Other than struggling with the factors like self-doubt the beginners look for the Effective Learning Path...




Is it still necessary to understand map-reduce paradigms for machine learning on large data sets?

Is it still necessary to understand map-reduce paradigms for machine learning on large data sets?    Awantik Das

Spark has covered a lot of mileage in a couple of years. And, with of Spark 2.0 - the internal implementation & optimization is abstracted the best possible way.