Companies that incorporate DevOps practices get more done. It is as simple as that. The technical benefits include continuous delivery, easier management, easier to manage, and faster problem-solving. In addition to this, there are cultural benefits like more productive teams, better employee engagement, and better development…

Industries are walking the path that leads to digital transformation and automation, and artificial intelligence is the constant companion. Not many know that artificial intelligence remained stagnant for decades but is now undergoing massive growth and…

The most important thing of any industry is the massive amount of data that is produced by it. So managing it and dealing with it requires a good amount of knowledge and expertise. Well, don't worry when we have data scientists!

What is Data Science? 

Data Science is the branch of study that…

As you must be aware, there are a lot of applications that are a by-product of Machine learning techniques. Machine learning is one of the hottest skills in today’s market. In fact, as per one of the recent LinkedIn surveys, there are over 7k machine learning jobs available. Additionally, there is a tremendous growth rate for machine learning related jobs as well. Another reason which could oblige you to seriously think about this skill set is automation. As we must have heard about…

Machine Learning is an important skill to have in today’s age. But acquiring the skill set could take some time especially when the path to it is unscattered. The below-mentioned points have a very wider reach to the topics it covers and essentially would give anyone a very good start when it comes to starting from scratch. Learners should not limit…

Harvard Business Review has declared data science as the ‘sexiest profession of the 21^st century’, and rightfully so. Keeping in mind, the amount of data being generated each day, the future scope of data science is bright, in fact, very bright. Students of technology, business, economics, mathematics, computer science, and the related subject domains, are all eligible to prepare for a data analyst role.

In the U.S., it is expected that there will exist 2.7 million openings…

In this article, we will be talking about the skillset that the future CHROs need to acquire, heading forward into their career. People analytics, or popularly regarded as ‘hr analytics’, is an industry practice, being exercised globally, off late, to achieve optimal business productivity, and levels of employee engagement.

The said practice involves recording and collecting of employees’ data at work, and later, analyzing it with the help of…

In the past few years, Big Data has emerged as a prospective game-changer for organizations of all sizes and across all industries. Possible – and actual – use cases include better customer targeting, improved employee hiring and benefits, better ad targeting, and reduced overall costs.

This growth in demand for Big Data has meant that a number of people now want to either get into or grow further in the data science industry. One of the most popular routes…

Data scientist remains to be one of the best jobs in 2020.

According to McKinsey, the US will be facing a shortfall of 250,000 data scientists by 2024. Though the jobs market is in constant change, a data scientist job still hits the top list. With many organizations looking for professionals adept in data science skills, a data science career is an ideal choice.

Why learn data science in 2020?

Companies worldwide are generating data.…

Hadoop is an open-source framework that stores and process big data in a distributed environment using simple programming models. It is designed to scale up from single servers to thousands of machines, while each offers local computation and storage. Hadoop divides a file into blocks and stores across a cluster of machines. It achieves fault tolerance by replicating the blocks on a cluster.

Hadoop can be used as a flexible and easy way for the distributed processing of large…

Businesses generate data from different sources such as text files, multimedia forms, Internet of Things (IoT) devices, social media, and, mobile. Data is being used in various domains such as marketing, social media, healthcare, automation, sales, predictive analysis, etc.

However, the simple Business Intelligence (BI) tools cannot process the humongous data. The advanced analytical tools and algorithms for processing and analyzing can help to draw actionable insights out of…

Value of adopting Data Science Skills

Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of work in statistics and computation to interpret data for decision-making.

Advances in the internet and social media is increasing access to big data. Extraction of meaningful information requires the use of AI and ML by data science. Big data is used in every…

One month back Flutura was in  a meeting with a customer in Houston where we were involved in an IOT big data project . It was a very tense meeting ... Budgets were being slashed, heads were rolling because of the steep drop in Oil prices. The CEOs office was forensically examining all projects thru a massive magnifying glass. The tension in the room was palpable. The cross functional team had spent a lot of time building a…

Managing performance of enterprise applications and achieving high levels of Performance with minimum resources is topic of discussion in today’s large enterprises. Resolving performance issues is essential for database administrators (DBAs) when it happens however it is best to react to the problems proactively. Proactive management requires very high level of attention and to help make sense of the overwhelming data provided by the database engine.

In database management being…

The ‘Bell curve’ or the ‘Gaussian bell curve’ is one of the fundamental concepts on which most of the statistical analysis is based. From social sciences to astronomy to financial services- most of the application of statistics in the real world relies on the assumption that the data being analysed is distributed in the shape of the bell curve.

What does…