How to Use Machine Learning to Manage User Access
Capital One is working to scale machine learning methodologies to manage both external and internal user
How Under Armour manages IoT streaming data
You may think of Under Armour as a sports apparel brand, but it’s also an IoT company that manages streaming data from fitness apps such as MyFitnessPal, …
Are Data Science Tasks Destined for Automation?
Gartner predicts that 40 percent of data science tasks will be automated in less than three years. However, as the complexity of machines increases, so will …
How Twitter Overcame Its Real-Time Data Challenges
Learn how Twitter addressed its real-time processing needs with a distributed, and fault-tolerant-stream processing
Lessons from LinkedIn: Faster Insights Through a Unified Data Ecosystem
LinkedIn implemented Apache Kafka to handle real-time data feeds and constructed “Gobblin," a data integration and ingestion
Data Scientists vs. Data Engineers and Data Analysts
Data engineers, data analysts, and data scientists are all valuable additions to businesses of all size and scope. But they each have a different job to
What Does a Data Scientist Really Do?
Hadoop? R? Machine learning algorithms? A data scientist must know a lot more than programming and
Hybrid Integration Platforms: Using the Cloud and Microservices
The cloud and a microservices architecture can help with data systems integration, but first an organizational change has to occur.
Why The Future of Data Science Is Data Psychology
There is still a gap between the data and choosing the best course of
