What is ETL?
Put simply, an ETL pipeline is a tool for getting data from one place to another, usually from a data source to a warehouse. A data source can be anything from a directory on your computer to a webpage that hosts files. The process is typically done in three stages: Extract, Transform, and Load. The first stage, extract, retrieves the raw data from the source. The raw data is then transformed to match a predefined format. Finally, the load stage…Continue
Added by Daniel Lucia on May 14, 2020 at 6:30am — No Comments
We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influences concerning the business, and the former deals with business issues that relate to profit, cost, etc. …Continue
The world is on the constant lookout for technologies that can help us further improve how we go about not only our daily lives but how we conduct business as well. And this search has led us to highly valuable resources: Geolocation and big data. We know the world is brimming with data, which makes it vital to use technologies that can help us sort through this data and make some sense of it. That’s where big data comes in — allowing us to extract value from the abundance of data. It is…Continue
Added by Ryan Williamson on April 13, 2020 at 1:58am — No Comments
You’re a data scientist, but you didn’t end up in the data science industry.
Are you worried about not making it?
Fret not, we’ve got multiple career options molded perfectly for you.
Ever since data science and big data analytics became the buzzwords in the industry, career options in these fields never went amiss. Job roles in both the data science and the big data analytics industry continue to reign as some of the most coveted jobs a tech professional could…Continue
Added by Yoey Thamas on April 7, 2020 at 11:44pm — No Comments
Deep Learning is a major branch of Machine Learning we have heard so much about.With or without our knowledge, deep learning is strategically influencing our day-to-day decisions.
The past few years have witnessed a…
Added by Albert Smith on March 29, 2020 at 9:11pm — No Comments
Did you ever wonder what’s a typical day of a data scientist like? A data scientist needs to explore data given to us and provide actionable insights, but how do we do that and is that all we do? Do we just sit in-front of a computer and code all day? Do we spend most of our day reading papers? Or is it something completely different? Let me walk you…Continue
Added by Angelia Toh Choon Muay on March 26, 2020 at 5:12am — No Comments
Have you ever experience a situation where you want to import and combine hundred of datasets? If you do this manually, then it will take too much time. On the other hand, we can use a simple R programming to solve this problem in easily and quickly. Therefore, I would like to share two methods of combining all small files in a directory into a single dataset…
Data scientist was coined the sexiest job of the 21st century and with good reason. In LinkedIn 2020 Emerging Jobs Reports, Artificial intelligence was named the ‘Jobs of Tomorrow’ due to its strong presence. Furthermore, the potential application of data science in multiple industries has attracted people from all…Continue
90% of data in existence has been generated in the last two years. On a daily basis, 7.5 sextrillion gigabytes of data are generated - around 147,000 gigabytes per person. These numbers are staggering, but it’s to be expected: the world is growing and the machine economy is growing exponentially. That's not to say that all of this data is immediately useful. Organizations can’t simply tap into these sources without massive amounts of pre-processing – but is anybody…Continue
Added by Maha Islomova on March 10, 2020 at 4:00am — No Comments
Added by Janardhanan PS on March 2, 2020 at 9:37pm — No Comments
Added by Janardhanan PS on February 24, 2020 at 7:00pm — No Comments
Machine learning (ML) is an application of Artificial Intelligence (AI) that provides the system with the ability to automatically learn and improve from experience rather than explicit programming. This is possible because today a large amount of data is available which lets machines to be trained rather than programmed. It is…Continue
Added by Vijay Singh on February 18, 2020 at 8:57pm — No Comments
Why do we need Learning Sprints?
Virtually every company is under pressure to transform their business in order to sustain in the future. As part of these efforts, they are hiring data scientists and engineers, data analysts, and they are making huge investments into cloud, big data technologies and AI, amongst others. Virtually all employees need to unlearn what they have assumed to be true for decades, and they have to acquire new skills. Time and money are the big…
Added by Rafael Knuth on February 10, 2020 at 10:00am — No Comments
All machine intelligence is powered by data. This isn't ground-breaking, or even news – we've known about data's value for decades now. However, not all data are created equal, and we'll be looking at executing machine learning products from a standpoint that prioritizes the quality of the data streaming into them.
Machine Learning (ML) is a specific subset of…
Added by Maha Islomova on January 24, 2020 at 7:30am — No Comments
The ability of companies to provide great healthcare has always been reliant upon data. Before the widespread adoption of technology, important information came from medical exams, checkups, and direct communication between physicians. …Continue
Added by Luke Fitzpatrick on December 15, 2019 at 11:30pm — No Comments
Summary: A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same thing.
Our profession of…Continue
Added by William Vorhies on December 4, 2019 at 3:12pm — No Comments
By 2027, the big data market is estimated to grow to USD 103 billion. And by 2022, the global big data and analytics market is predicted to grow to USD 274 billion, statistics backed by Statista.
The scarcity of talent in the big data industry is being wooed by hefty pay packages, but only to those with extensive knowledge in big data tools and technologies.…Continue
Added by Yoey Thamas on December 3, 2019 at 1:41am — No Comments
I was formally (1998-2016) a Senior Research Fellow in the Institute of Educational Technology (IET) at the Open University (OU) in the UK. It was in that context that I first started thinking about the potential of Learning Analytics in my field which is Accessibility of eLearning and Disabled Student Support. Looking back through my work-related blog (…Continue
Added by Martyn Cooper on November 24, 2019 at 4:30pm — No Comments
A few years ago I took a call from an analyst at a hedge fund who was looking for external data that would, in his words, provide “alpha.” I explained that our company was connected to thousands of data sources and hundreds of thousands of public datasets; I told him that we were continuously pulling in open data from 70 countries, standardizing it through an ingestion pipeline trained against the largest catalogue of public data in the world, and serving it up…Continue
Added by Lewis Wynne-Jones on November 11, 2019 at 5:30am — No Comments
Despite being about as prevalent as electricity, it can be difficult to adequately explain how critical data is to the modern world. From business operations to tackling the environmental crisis, data is the key to unlocking insight and developing intelligent solutions across every sector. Although Big Data has been in the news for at least a couple of decades, other types of data are now getting air time as well. Open…Continue
Added by Lewis Wynne-Jones on October 31, 2019 at 5:30am — No Comments