Why Real-Time Data Integration Should Matter to the NFL
Hoe big data integration might solve the problem of the bust pick on NFL draft
Five Phases of Big Data Projects
First, identify the data and brainstorm a use case. Then make sure everything's in place to make it
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.
Building a Data-Driven Business: Why Integration Matters
Some of the most successful companies these days have mastered “intelligent integration,” in which applications can analyze and route data from multiple …
Scaling SQL for Time-Series Data in IoT Use Cases
TimescaleDB, which is optimized for complex queries on time-series data, says it can solve some pressing challenges with IoT data
Choosing a Software Approach for Large-Scale IoT Deployments
An overview of strategy for building IoT applications, including container automation, and integration with existing systems and external
Using Artificial Intelligence for IoT Integration: Bit Stew’s Approach
Supervised and unsupervised learning approaches rapidly map data into a semantic model that can be used in an IT
How Do You Integrate Real-Time Data? Informatica’s Approach
A key challenge for real-time analytics is simply getting a handle on all the
Hot IoT Jobs for 2017
In-demand skills for the IoT include machine learning, data integration, and network
Why Data Integration Needs to Evolve for the IoT
Data integration technology needs to adapt to the IoT, often processing data "in flight" as it moves from place to