Big Data

Netflix – Your New Big Data Leader

Netflix has changed the entertainment industry on its head in just about 4-5 years. We all know the transformation story of Netflix from a simple dvd mailing service company to a multi-billion dollar business enterprise. But, how it happened? May be it was Netflix’s unique idea of creating a modern video streaming website or its efforts to build a big data and analytics company that could predict customer insights well before others can. A big data company that excels in identifying, accessing and prioritizing customer’s entertainment needs. Netflix’s has currently 50 million subscribers around the world.

The company’s is always on the hunt for new technologies to improve its big data and analytics infrastructure. Netflix applies modern big data techniques to manage customer information. The company has it own big data federated orchestration system Genie to manage various big data jobs such as Hadoop, Pig, Hive and more. Strategically, the company attempts to use data virtualization techniques to garner new insights. The first step involves analysis and monitoring of customers’ data, done at a massive scale to predict their viewing habits. Netflix’ ability to come up with popular entertainment services can be linked to the company’s understanding of what its customers’ primarily want. Big data has put Netflix at a clear advantage and many other companies can also replicate its success by extracting value from big data.

Big data might be the driving force behind the recommendation engine of Netflix, helping in predicting viewing habits. But the sheer volume of data Netflix collects on a daily basis can make it challenging for any company to apply analytical skills which is key to establish a more customer-driven engagement. The real challenge in a data-driven environment is to provide a secure flow of information across business units. Dan Weeks engineering manager for Big Data Compute at Netflix explained that the biggest big data challenge at Netflix is scale. Globally, there are over 86 million subscribers of Netflix, streaming over 125 million hours of content per day. Dan said, “Netflix is a very data driven company. We like to make decisions based on evidence. We don’t want to make changes to the platform that we can’t substantiate will actually improve the experience for users.”

Netflix’s ultimate goal is to improve the viewing experience of its customers. For this reason, the company has some of the most sophisticated big data tools at its disposal that excel in generating more accurate and insightful analytic strategies.