Why a Big Data Certification?
As the term “big data” is comparatively new, the action of gathering and storing considerable amounts of knowledge for eventual analysis is ages old. The idea acquired momentum in early 2000s when industry analyst Doug Laney articulated the now-mainstream meaning of big data because the three Versus:
Volume. Organizations collect data from a number of sources, including transactions, social networking and knowledge from sensor or machine-to-machine data. Previously, storing it would’ve been an issue – but technology (for example Hadoop) have eased the responsibility.
Velocity. Data streams in in an unparalleled speed and should be worked with on time. RFID tags, sensors and smart metering are driving the need to handle torrents of information in near-real-time.
Variety. Data is available in all kinds of formats – from structured, number data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions.
Variability. Additionally towards the growing velocities and types of data, data flows could be highly sporadic with periodic peaks. Is one thing trending in social networking? Daily, periodic and event-triggered peak data loads can be tough to handle. Much more so with unstructured data.
Complexity. Today’s data originates from multiple sources, that makes it hard to link, match, cleanse and transform data across systems. However, it’s essential to connect and correlate relationships, hierarchies and multiple data linkages or perhaps your data can rapidly get out of hand.