While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.
Data Natives Speaker Dr. Stefan Kühn is Lead Data Scientist at codecentric. Together with his team he is developing robust, fast and intelligent algorithms and is applying modern machine learning methods for analyzing large datasets. Before codecentric he was a researcher in the Scientific Computing Group at the Max Planck
What do you want to be one you grow up? A data scientist, of course! Though ultra popular, the modern field of data science is relatively new. It’s still developing, which makes it incredibly hard for youngsters to get into it early. Kids can take coding courses to see if
Meet Crystal Valentine, Data Natives Tel Aviv 2016 Keynote Speaker Crystal Valentine is VP of Technology Strategy at MapR Technologies in San Jose, California and will serve as a keynote speaker during Data Natives Tel Aviv 2016. Dr. Valentine received her doctorate in Computer Science from Brown University and was
Cloud computing is quickly becoming popular and the number of cloud based applications is increasing with the passage of each day. One of these is the cloud based knowledge base. A knowledge base is a digital resource that contains data as well as the rules for sharing and updating information
I do believe the future can be much better with the possibilities technology offers us. BUT, it will always require our participation and action. We can’t expect technology to solve all our problems but it will definitely empower us to do more. This is our vision at The Social Coin
Pokémon Go is a big deal, and no city is safe from the roaming hordes of trainers seeking more powerful Pokémon, sprinting like packs of animals whenever something rare appears. For all of the hype and positivity surrounding the game, there has also been ample concern generated by the not-so-surprising
Despite the advances in data integration and the blurring of the lines between batch (ETL) and real-time (EAI) integration, the process of managing and blending third-party or externally public datasets continues to be a burden for IT, and a cost for business, both in dollars and missed opportunities. Identifying and
If you didn’t already know, let me be the first to break the good news to you: data on the Indian data analytics sector is very encouraging. Today, India’s BI (Business Intelligence) and Data Analytics industry is worth a princely $10 billion and is expected to skyrocket to $26.9 billion
Where do I get started with data-driven engineering? How can the 3 I’s of data-driven engineering help me get off to a running start? How can I avoid the common pitfalls of data-driven engineering? What are the 3 I’s? The 3 I’s of data-driven engineering are insights, indicators and investments.
Want to innovate faster? Then it’s time to get your head into the cloud. The true value of the cloud software is not that it’s a cheaper alternative to hardware, but that it is a fast and flexible environment where innovation can flourish – for both traditional companies and companies