How to Use the AsyncAPI Standard for Real-Time APIs
Adopting AsyncAPI or other real-time API standards will be highly valuable to ensure apps can handle real-world events and drive digital
Parallel Processing 2.0: Round Two, Ready Fight!
Vectorized CPUs have been gestating for decades. Now they are emerging as the innovator’s choice as they use parallel CPU instructions when working on a …
ScaleOut Brings Real-Time Capabilities to Azure Digital Twins
Adding real-time analytics unlocks new use cases for Azure Digital Twins that go beyond modeling infrastructures to enable tracking live, mission-critical …
Survey Shows Many Weak Links in the Data Supply Chain
Lack of automation and data security challenges are impeding the flow of enterprise information, known as the data supply
Actionable Insights at Scale Needs New Data Approach
Enterprises need to reevaluate their approach to data architecture to ensure that their analytics efforts deliver actionable insights to power business …
How Your Data Hygiene Impacts the Customer Experience
As companies increasingly rely on data to inform business decisions, data hygiene is essential to truly offer an advantage in today's
Apache Hudi: How Uber Gets Data a Ride to its Destination
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
How Can Companies Break the Wall to Real Time?
Instant information is integral to a company’s success, from customer experience to business transformation, yet companies struggle to access the right …
Confluent Premium Connector Integrates Oracle and Kafka
The Confluent Premium Connector captures changes in Oracle databases to modernize data warehouses and facilitate data synchronization and real-time
4 Real-Time Data Analytics Predictions for 2021
Data management, analytics, data science, and real-time systems will converge this year enabling new automated and self-learning solutions for real-time …
