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.
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
Big data breaches aren’t going away any time soon and the recent revelation that Russia’s criminal underworld is in possession of account data for 272.3 million people is a testament to that. Initially announced by Reuters at the start of May but constantly referred to by other media outlets ever
Every day, human beings create 2.5 quintillion bytes of data – data that is generated, accessed and shared on laptops, mobile devices and social media. In the political realm, data drives today’s campaigns – from studying voter demographics and conducting outreach to tailoring and testing specific messages. Data, Data, Everywhere