According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.  

As more companies become data-driven, professionals skilled in data science…

According to technology experts that would have increased from 130 to 40000 exabytes ten and a half years before 2020. Some research writers have estimated that society will produce 1.7 megabytes of data every day for each individual on the planet increasing today's digital universe from 4.4 to 44 zettabytes

A lot of institutions and organisations…

“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner 

Big data is the new oil and there’s no denying to this fact. In certain ways the analogy fits, it is easy to draw attention about how information (data) is used to power much of the transformative technology that we see today such as predictive analysis, automation and artificial intelligence etc.  

As technology move…

The past few years have seen a wave of travel companies member accounts compromised which have rocked the industry.

Cathay Pacific had 9.4M accounts compromised.…

The term "big data" comes up frequently in articles and office discussions, but what does it really mean to utilize big data?

Big data: it’s one of those buzzwords you can’t seem to get away from. Though you might have an idea of what it means, there’s likely plenty you don’t know the ins and outs of what it takes to really harness the power of big data.

We sat down with Robert Swisher, Chief Technology Officer at Business.com, to get a better idea of what…

The rise in Machine Learning, Deep Learning and Artificial Intelligence technologies seems to breaking all barriers. All these technologies have the potential to spur innovation everywhere in the world. When it comes to deep learning, the technological advancement seem to be very uplifting. They have the power to help the companies perform better and more quickly. But, at the same time, there is certain amount of confusion surrounding these technologies as well.…

When it comes to Data Science, the most recurring topic is modeling. Quite a few articles out there talk about data preparation and only a bunch about how to communicate your results properly. However, there are hardly any dealing with the topic that we are going to cover today: data enrichment.

In our experience with helping companies to start using their data…

What do you do before purchasing something that costs more than a pack of gum? Whether you want to treat yourself to new sneakers, a laptop, or an overseas tour, processing an order without checking out similar products or offers and reading reviews doesn’t make much sense anymore. Thanks to comment sections on eCommerce sites, social nets, review platforms, or dedicated forums, you can learn a ton about a product or service and evaluate whether it’s a good value for money. Other customers,…

Introduction

Artificial Intelligence is growing at a rapid pace in the last decade. You have seen it all unfold before your eyes. From self-driving cars to Google Brain, artificial intelligence has been at the centre of these amazing huge-impact projects.

Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the usual…

Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.

But which one is better? And, more importantly, which one should you learn?

Both are widely used and are standard tools in the hands of every data scientist.

The answer may surprise you – because as a professional data scientist, you should be ready to deal with…

Wondering how the words, fashion, weather and predictive analytics are connected?

Here’s a poser – what is one of the biggest challenges before the global fashion industry today? Weather. You wouldn’t have guessed it, right?

Pick up any fashion magazine, read any fashion…

Who are our Data Quality Heroes?

Lemahieu W., vanden Broucke S., Baesens B.

This article is based upon our upcoming book Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data, www.pdbmbook.com  See also our corresponding…

A few years ago, the impact of digitization was only established in top industries like Banking, Insurance, and Retail. Now times have changed – the recruitment industry is also adopting digital transformation.

Everyone is a candidate at some point in…

When our customers ask us what the best data warehouse is for their growing company, we consider the answer based on their specific needs. Usually, they need nearly real-time data for a low price without the need to maintain data warehouse…

Today every company is acting on the digital transformation or at least talking about digital transformation. While it is important to drive it by analyzing customer behavior, it is extremely important to understand who from your organization is acting upon it – your…

ETL stands for Extract, Transform, Load. It has been a traditional way to manage analytics pipelines for decades. With the advent of modern cloud-based data warehouses, such as BigQuery or Redshift, the traditional concept of ETL is changing towards ELT – when you’re running transformations right in the data warehouse. Let’s see why it’s happening, what it means to have ETL vs ELT, and what we can expect in the future.

ETL is hard and outdated

ETL arose to solve a problem of…

The Internet of Things connected all of kinds intelligent devices, such as mobile devices, sensors, machines or vehicles with each other and with the cloud computing. Analysis of the IoT data offers many opportunities for companies, as they can make faster decisions, optimize business processes or develop new applications and even restructure business models. This has the enormous potential of Internet of Things that is virtually present in every industry, including energy, retail,…

In all business areas making decisions is a natural and integral part of any company’s management process. Doesn’t matter if it’s a small family business or a huge multi-national corporation. At some point or another they all need to make decisions to ensure their continued operation. And that’s exactly what a manager’s job in an organization comes down to – a constant process of decision-making to ensure continued growth and…

It seems like it has been a long time since big data was all the hype in tech. Over the past year, it’s blockchain that has been grabbing headline after headline. It does appear fitting since blockchain is proving to be quite the disruptive force. This, however, doesn’t mean that data stakeholders can just tune out all this blockchain frenzy. Data is still the lifeblood of modern tech. Disruptive technologies and data will inevitably have an interplay.…

Digital disruption has turned the telecom industry upside down. New digital technologies are entering the market forcing telecom operators to adapt to new business models.

We went from analog to digital few decades…