While the term “big data” is relatively new, the act of gathering and storing large amounts of information for eventual analysis is ages old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as follows :
Volume. Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop) have eased the burden.
Velocity. Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time.
Variety. Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions.
Under SAS models, two additional dimensions occurs when it comes to big data:
Variability. In addition to the increasing velocities and varieties of data, data flows can be highly inconsistent with periodic peaks. Is something trending in social media? Daily, seasonal and event-triggered peak data loads can be challenging to manage. Even more so with unstructured data.
Complexity. Today's data comes from multiple sources, which makes it difficult to link, match, cleanse and transform data across systems. However, it’s necessary to connect and correlate relationships, hierarchies and multiple data linkages or your data can quickly spiral out of control.
Big data is a field that treats of ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
Bring in different types of data, structured and unstructured, from within and outside your organization. Build data lakes and warehouse, on premises and on cloud.
Easily handle batch data and real-time data transfers. Collect it, clean it, prepare it, and transform your data to make it available to everyone. Maintain Data Quality and Administration. Deploy Governance and control access of multiple data sources to power business intelligence and advanced analytics. Visually analyze and build insightful reports & dashboards however massive the data is for improved business planning and future performance. Dive deeper into your data to see patterns you didn’t know existed. Access, Anywhere, Any Device.
Team Beryl has expertise in delivering Big Data Solutions globally with respect to Big Data Storage, Management, or Analytics.