Data is rampant in the Internet of Things (IoT) Age, during which the exponential growth of data has outpaced the capacity of traditional computing. It has reached maturity in some stages, but it is in adolescence in new stages. With the advent of Big Data, businesses are merging it with big compute and IoT for analytics using Artificial Intelligence (AI). After the raw input from the big data gets cleaned, structured, and unified, AI performs cognitive functions and outputs values for the…
ContinueAdded by Ankur Patel on January 1, 2019 at 8:57pm — No Comments
Is not a secret that Data Science tools like Jupyter, Apache Zeppelin or the more recently launched …
ContinueAdded by Antonio Cachuan on November 20, 2018 at 8:01pm — No Comments
It’s not a secret that containers technology (popularly known as dockers) is becoming one of the top choices in software projects [1], but What about data projects/clusters? Many companies and projects have intentions to take advantages of it. Some examples are Cloudera [2] and the apache-spark-on-k8s project [3], personally, I suggest if you want more information as what exactly is called “Big Data as a Service” to check the last Strata Data…
ContinueAdded by Antonio Cachuan on October 28, 2018 at 4:59pm — No Comments
With the nascent stage of the data revolution past us, organisations are entering a new level of proficiency in handling data expertly. Gone are the days when organisations…
ContinueAdded by Ronald van Loon on October 26, 2018 at 3:35am — No Comments
A data catalog helps companies organize and find data that’s stored in their many systems. It works a lot like a fashion catalog. But instead of detailing swimsuits or shoes, it has information about tables, files, and databases from a company’s ERP, HR, Finance, and E-commerce systems (as well as social media feeds). The catalog also shows where all the data entities are located.
A…
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Added by Ronald van Loon on March 23, 2018 at 10:30pm — No Comments
Companies like Amazon, and Facebook are setting the standard for customer expectations and customer experience.
This includes everything from understanding the whole customer journey, defining the context and personalizing it, to ensuring the payment experience is seamless and frictionless without compromising…
ContinueAdded by Ronald van Loon on March 20, 2018 at 9:00pm — 1 Comment
IoT devices are everywhere, but they aren’t just used for Smart City related technologies.
From Google Home, Fitbit, Apple iPhone, and Laptops, you are already using IoT devices everyday. In fact, Ericsson predicts that there will be 30 billion IoT devices in use around the world by 2023!
IoT devices are spanning industries…
ContinueAdded by Ronald van Loon on March 10, 2018 at 11:27pm — No Comments
The world is rapidly changing thanks to digital technologies.
Business are transforming along wit it.
Join Ronald van Loon on his journey through the intelligent world, and have a deeper look into technological development that are shaping a world and transforming business.
Added by Ronald van Loon on February 6, 2018 at 9:30pm — No Comments
A thought provoking series that gives my account of becoming a marketing data scientist hybrid during one of the most chaotic times in the marketing industry, the Big Data boom. In the series, I discuss my enlightenment, highlight challenges to the modern marketer and those who have developed several skills classically associated with Data Scientists; conclude with recommendations for my peers and the marketing industry. The overlap of responsibilities and required skills among Data Analyst,…
ContinueAdded by Allyn Fowler on April 26, 2017 at 9:30am — No Comments
Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving!
These books require different levels of existing knowledge, and while some are for…
ContinueAdded by Lee Baker on August 31, 2016 at 4:00am — 6 Comments
It’s been a rather quiet summer on Data Science Central with fewer blog posts being published than at other times of the year, but I guess it shouldn’t be too much of a surprise – DSC has had to compete against summer holidays, the Euro 2016 football tournament and the Rio 2016 Olympics.
Of the relatively few that have been published, there have been a few gems. At the time of writing, the 5 blog posts on this list have been read by almost 60,000 of you.
If you haven’t seen any…
ContinueAdded by Lee Baker on August 18, 2016 at 5:30am — No Comments
Big data, this flood of data that scares some people, has moved from hype to reality. However, collecting more data does not always mean better insights. The exponential data growth via social networks and soon by connected objects tomorrow has become big challenges. The cursor should now be on the exploitation of useful data; or somebody call it Smart Data. How to achieve this mission to make intelligent data? Please see the Big Data posts from…
ContinueAdded by Jason Li on July 21, 2016 at 5:20am — No Comments
Find out how Data to Value’s Graph Data software partners Neo4j and Linkurious have been used in the Panama Papers investigation.
Recently there has been a lot of interest around the newly published Panama papers. This giant trove of data that is said to contain a whopping 11.5 million documents or…
ContinueAdded by Zygimantas Jacikevicius on April 7, 2016 at 4:59am — No Comments
Businesses these days rely heavily on data to make important decisions on a day-to-day basis. The flow of correct and consistent data is of great importance for business users to make quick and well informed decisions. The flow and relationships of data need to be defined and structured to ensure best results. This process is called Data Modelling. To avoid human error and speed up the process specialised software is used to help with building a logical data model, a physical data…
ContinueAdded by Zygimantas Jacikevicius on November 26, 2015 at 1:42am — 4 Comments
Hadoop is the leading open-source software framework developed for scalable, reliable and distributed computing. With the world producing data in the zettabyte range there is a growing need for cheap, scalable, reliable and fast computing to process and make sense of all of this data. The underlying technology for Hadoop framework was created by Google as there…
ContinueAdded by Zygimantas Jacikevicius on November 25, 2015 at 1:20am — 4 Comments
Data visualisation is the process of displaying data in visual formats such as charts, graphs or maps. This method is commonly used to grasp more meaning out of a snapshot of data which in other approaches might require sorting through piles of spreadsheets and great quantity of reports. With the amount of data growing rapidly it is more important than ever to interpret all of this information correctly and quickly to make well-informed business decisions.
Graph visualisation has a…
ContinueAdded by Zygimantas Jacikevicius on November 23, 2015 at 6:30am — 1 Comment
Search engines are now an integral part of people’s everyday lives. We are used to having access to information at the click of a button. However we rarely think how much work goes into this ability to search for information. Search engine software has become extremely advanced in recent years, now using complex algorithms to provide the most relevant information with predictive search and search suggestion capabilities. Many engines can do this in real-time, processing millions of…
ContinueAdded by Zygimantas Jacikevicius on September 28, 2015 at 1:54am — No Comments
Today the world generates vast quantities of data each day that can be used to enhance the quality of living of virtually anyone in the world. Information is power but also a tool for supporting development, knowledge sharing and social initiatives. Tracking natural disasters, crowdsourcing rainfall data and mapping out the night’s sky are amongst a diverse range of…
Added by Zygimantas Jacikevicius on September 22, 2015 at 3:58am — 1 Comment
Summary: Flawed data analysis leads to faulty conclusions and bad business outcomes. Beware of these seven types of bias that commonly challenge organizations' ability to make smart decisions.
This is a great article by Lisa Morgan originally published on InformationWeek.com. See the original article…
ContinueAdded by William Vorhies on July 16, 2015 at 2:50pm — 2 Comments
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