The Big Data Course
Big data is changing the way we work, live and behave; the way we manage organisations and societies and big data impacts our privacy. Big data has many implications and numerous advantages for any industry, any organisation and any society around the world.
What is big data and how should you deal with it? How will it affect your industry, organisation and supply chain? How can you ensure the privacy of your consumers and how can you put big data to work for your organisation and outperform your peers. For only $ 495,-, this Big Data Course will give you access to exclusive content that will give you all the answers.
The Big Data Strategy Model
The Big Data Strategy Model thus helps organisations to develop their big data strategy, and it does so in a comprehensive way. As Mark van Rijmenam, the founder of BigData-Startups.com, explains: “Big data is changing the way businesses—and even governments—are operated and managed, but many organisations are not yet familiar with the topic and/or have no clear overview of the big data ecosystem. This innovative Big Data Strategy Model will change that and will help organizations take the first steps towards their big data strategy”.
Big Data Open Source Tools
It is generally believed that implementing a big data strategy is expensive and time-consuming. Both are not true. There are many big data open source tools that can be implemented for free and can be adapted as necessary to suit personal needs.
We have collected 125 of the most important big data open source tools for you to discover. Each open source tool has its own expertise and some of them offer also premium services. Have a look and let us know if you find a big data open source tool missing.
The Big Data Startups
New Big Data Startups are founded on a daily basis. The investments in these highly technological startups continue to grow. But they are difficult to find. That is why we have collected them for you.
Discover the big data startups from around the world and get an understanding in what they do as each big data startup has a different speciality. Each startup is individually reviewed and rated on several criteria.
If you would like to see your big data startup featured on this big data platform, you can register it here
Public Big Data
In 2011 European Commissioner Neelie Kroes put up a proposal to open up Europe’s Public Data for everyone to use. Neelie Kroes is a strong supporter of the use of public datasets and she called governments to put online datasets that were created with public money.
More and more public datasets are becoming more widely available for organisations and that thrives innovation and new solutions for (unknown) problems in the world.
Big data marketplaces start to exist and organisations can buy or download for free many public data sets. Combining these with personal data will provide additional insights.
The Big Data Best Practices
At the moment, only 12% of the organisations worldwide have developed a big data strategy. In the coming years this will grow, but you can already learn from the lessons learned by the organisations that did implement a big data strategy.
We collect big data best practices that can help other organisations when implementing a big data strategy. Examples of these interesting use cases start to appear in every industry and an overview of these best practices can help to drive innovation. If you have a use case yourself that you want to share, please do not hesitate to contact us.
- Roambi – offers interactive mobile visualizations
- Vitria – they provide real-time insights in big data
- Palantir - they provide insights from data when needed most
- Rocket Fuel – they use A.I. to improve advertising
- Tableau Software – they provide easy-to-use software applications
- Domo - a cloud-based big data management platform
- Quid - delivers augmented intelligence for organisations
- Guavus - helps Communication Service Providers create value with their data
- ParStream - a real-time big data analytics platform
- Appnomic Systems – they bring big data analytics to IT operations