Feedzai, a data science company that uses real-time, machine-based learning to analyze big data to make commerce safe, and DataStax, the company that delivers Apache Cassandra to the enterprise, today announced a commercial partnership under which Feedzai is now part of the DataStax Partner Network.
This article is the fifth and last in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance.
A new survey from SAS, “Finding the Right Balance Between Personalization and Privacy,” finds a strong correlation between trust and willingness to share information on the part of the consumer. Trust in data security is by far the biggest factor when customers decide to provide information.
The huge volume of Big Data produced by sensors, genomic sequencers, electronic exchanges, and connected devices continues to generate headlines but it’s the diverse types of data, not the volume, that’s a bigger challenge to data scientists and is causing them to “leave data on the table.” [Read More...]
In-memory computing is comprised of two main categories: In-Memory Databases and In-Memory Data Grids. Nikita Ivanov, CTO of GridGain delves into the differences between the two and when to apply each technology. [Read More...]
All Recent News
- Feedzai Partners with Datastax for Real-Time Fraud Analysis
- Sumo Logic Launches Transaction Analytics to Transform How Companies Learn from Business Events
- GridGain In-Memory Data Fabric
- SAS Survey: Finding the Right Balance Between Personalization and Privacy
- Data Science 101: Data Agnosticism – Feature Engineering Without Domain Expertise
- Big Data Humor: The Art of Statistics
- Free Promo Code for IS3 Cloud Conference, Oct. 27-28 in San Francisco