Data Science
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.

HackCorona: 300 participants, 41 nationalities, 23 solutions to fight COVID-19 outbreak
In just one day, the HackCorona initiative gathered over 1700 people and 300 selected hackers came up with 23 digital solutions to help the world fight the COVID-19 outbreak during the 48-hour long virtual hackathon by Data Natives and Hacking Health. Here are the results. HackCorona was created on March 17th

How dangerous news spreads: What makes Twitter users retweet risk-related information
Scientists uncover how information related to potential dangers can spread on social media and how this can be prevented. In Japan, a country prone to various natural and man-made calamities, users often turn to social media to spread information about risks and warnings. However, to avoid spreading rumors, it is

Calling the global data science community to #HACKCORONA
COVID-19 is still spreading exponentially throughout the world. Some people who get it require hospitalization for respiratory failure for multiple weeks. The hardship falls on elderly people, medical personnel as well as the healthcare system in general. Identifying the main pain points in the current health crisis situation, Data Natives

The coronavirus shows us how tech companies can do more against fake news
On March 19th at 6PM CET, we are going live with an educational session on “How can Data Science help in the times of a pandemic”. In particular, how can data science help manage facts vs fiction in the current situation? Will the public listen to scientific advice and implement

Why Data Scientists Must Be Able to Explain Their Algorithms
The models you create have real-world applications that affect how your colleagues do their jobs. That means they need to understand what you’ve created, how it works, and what its limitations are. They can’t do any of these things if it’s all one big mystery they don’t understand. “I’m afraid

How to make data lakes reliable
Data professionals across industries recognize they must effectively harness data for their businesses to innovate and gain competitive advantage. High quality, reliable data forms the backbone for all successful data endeavors, from reporting and analytics to machine learning. Delta Lake is an open-source storage layer that solves many concerns around data

Free eBook: A Practical Introduction to Apache Spark
If you are a developer or data scientist interested in big data, Spark is the tool for you. Apache Spark’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end-users, and integrators to solve

Bracing for Brexit: Best Practices for Data Migration in Wake of 2020 Brexit
Will there be any data-transfer or migration complications post-Brexit? If yes, here is how you could avoid them. Since 2016, the United Kingdom and the European Union have braced for the looming Brexit, or the British exit from the EU. Departure deadlines have been set and extensions have been made

Thriving SaaS Growth and Containerization Use Will Drive Cloud Market in 2020
What does the cloud industry has to offer for the year 2020? What are the trends we will see in cloud adoption and cloud-to-cloud migration? How will 5G impact cloud adoption? Read on. The global economic outlook has been lukewarm heading into 2020, yet there is much reason for confidence

Why over one-third of AI and Analytics Projects in the Cloud fail?
How are various organizations handling the accelerating transition of data to the cloud? What are the obstacles in data cleaning for analytics and the time constraints companies face when preparing data for analytics, AI and Machine Learning (ML) initiatives? Here is a look at some insights from a recent report