AS the increasing value of big data becomes more and more understood, the desire to retain it longer (even indefinitely) and access it quickly and easily presents new challenges—not only storing it but also managing, archiving, and protecting it over its lifecycle for as little money as possible.
Big Data Storage
Data Warehouse Optimization
Traditional data warehouse environments are being overwhelmed by the soaring volumes and wide variety of data pouring in from cloud, mobile, social media, machine, sensor, and other sources. And the problem will only worsen as big data continues to grow. This call for new technologies such as Apache Hadoop to increase capacity and optimize performance.
Internet of things
The Internet of Things (IoT) is actively transforming nearly every industry. With low-cost sensors proliferating devices in constant use by consumers and companies, IoT is expected to change the way we live our lives and manage our businesses. As an unprecedented amount of data is collected and monitored through Internet connected devices, IoT delivers benefits such as seamless automation, optimized resource consumption, increased situational awareness, and the immediate control and response of complex systems.
Data analytics comes in three principal flavors: descriptive, predictive and prescriptive:
Descriptive Analytics is About the Past
Predictive Analytics is About the Future
Prescriptive Analytics Provides Advice Based on Predictions
Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information
Certain characteristics of data can only be seen when represented graphically.
The power of data visualization—the art of representing data visually—therefore lies in its ability to turn raw data into meaning and meaning into understanding.
Business leaders, to acquire real learning from their data, need to adopt visualization as a new common language for exploration and communication.
Cloud migration is the process of moving data, applications or other business elements from an organization’s onsite computers to the cloud, or moving them from one cloud environment to another.