The Internet of Things (IoT) is a major driver of new data needs with tens of billions of connected devices today, and growing rapidly; Big Data is getting bigger! The Internet is no longer limited to just IT-related devices like computers, smartphones, and routers.
Some of these devices can generate data at a staggering rate – a single sensor may produce data volume on the order of an entire enterprise data warehouse…in a single day. Mobile and networked devices have not only become a significant driver of modern Big Data technologies but are driving evermore innovative and scalable approaches to data management and analytics. Techniques such as stream processing and edge-based filtering and analytics become even more relevant, and tough decisions about ingest and retention policies need to be made.
Social media may be the first human innovation which pushed data volume beyond technology limits, but machines, not humans, will generate the most data in what’s called IoT (Internet of Things). Every device, including electronics, phones, and network equipment, as well as thermostats, lighting, locks, office equipment, appliances, health monitors, factory equipment and other everyday things (50 billion contributors in all) will add to the mix by 2020.
Thus far, most corporate CIOs have not made IoT their top priority, citing costs, technology challenges, integration risks, security concerns and regulatory issues. However, an explosion of IoT activity is on the horizon, driven by the confluence of low-cost sensors, mobility, and advanced data analytics. Compounding the deluge of information challenges is the near infinite amount of available and affordable cloud-based storage and compute power, aka Big Data.
How does a CIO balance technology challenges with the business opportunities when it comes to IoT adoption? There are a myriad of critical issues:
BigRio can bring practical perspectives to the discussion, identifying the low hanging fruit(s) ripe for early adoption, suggesting the initial monetization opportunities, assessing investment and technology risks, and laying out an implementation plan. Following this strategic guidance, BigRio brings world-class Big Data in IoT Solutions like Enterprise Data Hubs, data lakes, data integration, and data science, and provides long-term support. Our specialties in the areas of cloud computing, data management, Big Data engineering, and statistical modeling, translate into early success and long-term support for realizing your IoT vision.