Optimize Business by Overcoming the Data Overload
Data overload can often hinder a brand’s ability to create an impactful customer touchpoint or deliver differentiated customer
Data overload can often hinder a brand’s ability to create an impactful customer touchpoint or deliver differentiated customer
To be competitive, banks and insurance companies must invest in architectures and tools that deliver more flexible, scalable, and resilient software
With open banking, developers can integrate financial data from multiple institutions within the same application or share financial data between applications …
Successful digital transformation initiatives include powerful AI and machine learning techniques to process and analyze large volumes of data across the …
Enterprises need to reevaluate their approach to data architecture to ensure that their analytics efforts deliver actionable insights to power business …
Today's Neo4j funding announcement is the latest in what has been a banner year for huge industry investments in all things related to real-time
One of the reasons databases can be containerized is that many now have the capability to function with data and compute separately to accommodate shared cloud …
Even the most advanced analytics tools remain useless if they’re not fed a complete, well-governed set of user data.
In this week's real-time analytics news: Acquisitions and partnerships, new automation tools, and
Apache Hudi provides tools to ingest data into HDFS or cloud storage, and is designed to get data into the hands of users and analysts