Upcoming Changes in the PMP® Examination

Most of the professionals allied with the project management practices might be aware of the recent announcement made by the PMI in line to keep the project management content relevant to the trending business challenges. The changes will be included in the latest version of the PMBOK® Guide, sixth edition, which is due to be released in…

How to prepare for analytics interview

Are you applying for any demanding position in the ‘Analytics’ stream? Then, you will certainly be nervous about how to prepare for the interview and successfully crack it. It is quite natural for most of us when hear of an analytics interview or look at the analysts, we gradually think that data analytics is something…

What is Serverless Computing | Amazon Web Services

Traditionally once an application gets developed, the next step is to get it deployed on the servers. For this the capacity planning, procurement, installation of server hardware and software must be done, which might take from a few weeks to a few months. Not only it is time consuming, but it also involves a lot…

Tips to Crack Hadoop Developer Interview

Big data’s biggest tool Hadoop – is an open-source, Java-based framework used for distributed storage and distributed processing of massive amounts of data, popularly known as Big Data. The recent market report from Google clearly states that almost 84% of the companies have incorporated Big Data, or in the verge of doing so. The report…

Which is the Best Analytics Tool to Learn?

SAS or R or Python, from where do should I start? This is the most common question that every aspirant face while entering the world of Data Analytics. Whether you are a newbie or an experienced player in the field of data analytics, you must have encountered a fair share of discussions on the right…

Why Lean Six Sigma Certification to fire up your Career

Who does not want to set up a profitable career, but, how many of us know the valid approach to getting on track for it? Here’s where most of the people fail to choose the right credentials to carve a rewarding career in various business domains. Today, there are different top-notch certifications available in the…

Why Algorithms are Important to Learn?

Algorithm – it is no longer an unknown term for many of us, and today, algorithms exist in every aspect of computer science. Algorithms are widely used in different outperforming fields such as social media, e-commerce, transportation, healthcare, education, etc. With the growing technology trends, algorithms these days are considered as the key building blocks…

Data Science or Data Analytics? Career Options Explained Best

A lot of people are confused about these terms. Article below will explain you in details and clear your confusion about these Data Science & Data Analytics Professionals topics. So let’s get going on this discussion… Some companies don’t differentiate between a data scientist and analytics professional and use these terms interchangeably to define their team members….

Getting Started with Big Data?

Very often I do get the query ‘I am familiar with X, Y and Z, is it good enough to get started with Big Data ?’. This post is to address the same. Here we will look at what is required to get started with Big Data and the rational behind it. There is a…

Benefits of Storing Big Data on Cloud

Big Data and Cloud Computing, these are the two trending technologies that have created big hype in global market. Taken separately, both big data and cloud technologies have turned to be highly beneficial to organizations, offering a competitive market edge to escalated business opportunities. Though, each technology worth on its own credibility, many organizations found…

Major difference between Data Science & Data Analytics Professionals

A lot of people are confused about these terms. Article below will explain you in details and clear your confusion about these 2 topics. So let’s get going on this discussion… Some companies don’t differentiate between a data scientist and analytics professional and use these terms interchangeably to define their team members. On the other hand, significant…