• BLOG

  • Articles by Van Rijmenam

    4 Use Cases of Big Data and High Performance Computing

    With the amount of data that organizations have to deal, with expected to grow into the exabytes in the coming year(s), we will need better technology. Bring in High-Performance Computing, or HPC in short, and a completely new world opens for you. HPC is dramatically changing the playing field.  In the past years, it has grown from an innovative feature used only by the most advanced scientific research centres, to a tool that enables organisations across industries to gain advantages of Big Data. Presidents from the USA to Russia have stressed the importance of HPC. Today more and more [...]

    Read more

    7 Important Big Data Trends for 2016

    It is the end of the year again and that means it is time for the Big Data trends for next year. I did that for 2014, I did it for 2015 and now it is time for 2016. What is awaiting us in 2016? Which Big Data trends will have an impact on the global Big Data domain? How will Big Data affect organizations in 2016? Let’s have a look at seven of the most important Big Data trends for the year 2016. 1. The Rise of the Algorithms Big Data is out, Algorithms are in. Data has become a commodity and every organization is capable of collecting and storing vast amounts of data. Analysing all [...]

    Read more

    How Data Lakes Open New Possibilities for Your Organisation

    In the past years, I have seen a flood of information on data lakes, and it looks like it is becoming as much of a buzzword as Big Data. I described data lakes as a growing trend in 2015 – stating that it was time for organisations to experiment with data lakes. But are we seeing much progress? Sure, organisations like Facebook, Google and Yahoo have advanced considerably, and their developers experience numerous benefits using data lakes. But what does it mean - a data lake - and what are the benefits of it? And are ‘offline’ organisations such as retailers and financial services [...]

    Read more

    7 Reasons why the Algorithmic Business will Change Society

    The world around us is changing so rapidly, that even the hype big data is already outdated. Big data is nothing new any more, and by now we all know that more data is coming our way, rapidly. But in big data itself is no value at all.  We can all generate massive amounts of data after all. By itself, big data is not transformative. Not even big data analytics is driving the change, after all, any company can hire analysts to provide insights into your data. Where the real value lies is in algorithms. Algorithms define action and dynamic algorithms are at the core of future businesses. [...]

    Read more

    How Engineering Company Siemens Creates Value for Their Customers Using Big Data Analytics

    Siemens is a 168-years old engineering company that has prepared itself for the future. While most consumers might know Siemens from washing machines and electronic equipment, that image is largely outdated. Today, Siemens manufactures trains, power plant equipment, healthcare equipment and offers a wide range of smart software solutions. In the past decade, they have moved forward and combined their engineering capability with great new analytical capabilities to help their customers perform better. Let's look at three examples of how they are changing the game for the energy industry, [...]

    Read more

    Why The 3V’s Are Not Sufficient To Describe Big Data

    It is generally accepted that big data can be explained according to three V’s: Velocity, Variety and Volume. In a 2001 research report, META Group (now Gartner) analyst Doug Laney defined big data as being three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources). Later in 2012 Gartner updated the definition of big data as high volume, high velocity, high variety. Although I do not want to diminish the importance of the definition by Gartner, I do think that big data can be better explained by adding a few [...]

    Read more

    7 Ways How Big Data Can Help the Air Force

    In 1952, when the NSA was founded, they quickly employed thousands of cryptologists to deal with the massive amounts of data that was flowing into the organisation. Since then, governments from around the world have been analysing large streams of data. Therefore, it does not come as a surprise, that the armed forces have also been using data, and more lately big data, to gather intelligence and optimise the organisation. There are a lot of opportunities for the armed forces when they start using Big Data analytics. These advantages can be found within organisational efficiencies, regarding[...]

    Read more

    7 Best Practices How Big Data Can Help the Air Force

    In 1952, when the NSA was founded, they quickly employed thousands of cryptologists to deal with the massive amounts of data that was flowing into the organization. Since then, governments from around the world have been analyzing large streams of data. Therefore, it does not come as a surprise, that the armed forces have also been using data, and more lately big data, to gather intelligence and optimize the organization. There are a lot of opportunities for the armed forces when they start using Big Data analytics. These advantages can be found within organizational efficiencies, regarding[...]

    Read more

    Big Data-as-a-Service Solutions Will Revolutionize Big Data

    Big Data services offered in the cloud is nothing new. In the past years, we have seen many Big Data vendors that have created Big Data solutions that can be accessed via the web to crunch and analyse your data. Recently, however, we have seen the rise of a new type of offering: Big Data-as-a-Service solutions. These solutions differ from Software-as-a-Service solutions or Infrastructure-as-a-Service solutions, as they are more or less a combination of those two. This results in a complete package for companies to start working with Big Data. But what is Big Data as a Service and how could [...]

    Read more

    5 Interview Questions for Your Next Big Data Vendor

    It's easy to have unrealistic expectations of big data companies considering all the hype surrounding big data and predictive analytics. If you need to choose a big data vendor, you have an increasing number of options, but it's important to go into the decision with realistic expectations about what you want big data to do for you. Since we just launched our Big Data Company index, let's dive a bit deeper in selecting the right Big Data vendor. Just because a big data vendor can do something you need doesn't mean you'll actually derive business value from it. That's one reason many [...]

    Read more

    11 of page 12