Big Data is a way of harvesting raw data from multiple, disparate data sources, storing the data for use by analytics programs, and using the raw data to derive value (meaning) from the data in a whole new ways. We’re talking data from traditional business applications like CRM and web applications, combined with data from a growing number of sensors (IoT), and social media like Facebook, Twitter, and LinkedIn.

This means that no single technology can be called Big Data, which requires a tightly coordinated ecosystem of data acquisition, storage, and application technologies to make it work.

Big Data is the natural evolution of the way to cope with the vast quantities, types, and volume of data from today’s applications. The volume, velocity and variety of data coming into today’s enterprise means that these problems can only be solved by a solution that is equally organic, and capable of continued evolution.

In other words, it’s the ways we are using software and creating the data that are driving Big Data.

Unless we change the ways we use software (like apps), platforms (like social media), and core infrastructure technologies (like the internet), Big Data is here to stay. Case in point: Give up Snapchat? LinkedIn? Facebook? Twitter? Not gonna happen.

About the instructor

Admin

Data 360 Labs

Data 360 utilizes a unique data modeling, reporting and messaging solution powered by AI and machine learning to reduce the operations costs of our clients by up to 90%. Our customers use our platform as a service to augment or replace their existing SaaS, web, mobile or social media systems to save costs. We are solving for the high costs of acquiring and managing customers, employees and community manually or with older software paradigms or web-based technologies. We use the data from the internet genome about the users along with AI and machine learning to gain very detailed insights on millions of users at a time that are not otherwise possible from existing self-service systems like Google, Salesforce and Facebook. Those insights are used to develop highly personalized and targeted workflows, user interfaces, communication strategies, imagery and SaaS systems. Only 1% of businesses ever have the chance to get venture capital and so many businesses struggle with obtaining customers and employees. As much as 75% of a businesses expenses can go to acquiring customers and employees and building community. Big data with AI and machine learning have the change to reduce that to 90% of its normal cost. Our solution is so much more than a game changer.

Course Curriculum

To secure some of the biggest jobs in the future, sign up for this Big Data 101 course to make sure you know that basics and continue your journey on a new path for your career and business!

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