BY Capgemini
This page was produced by FT2, the advertising department of the Financial Times. The news and editorial staff of the Financial Times had no role in its preparation.

Capgemini IT: GROWTH ACCELERATOR

IT trends spotted and checked by experts

0
0
1
 
 

Netflix's success hinges on deep-dive analytics


18 Oct, 2016 09:00 am

Netflix has amassed roughly 60 petabytes of data in the Amazon's Web Service cloud, which serves as its key platform for its information infrastructure.



"We want more data for more rich analysis so we can improve the experience for our users," says Kurt Brown, Netflix's director of data platform.

Amazon's Simple Storage Service (S3) serves as Netflix's "central source of truth," Brown says. Once uploaded to S3, the data systems Netflix relies on for its internal analysis, such as Teradata, Redshift, Druid, and others, is sourced from S3. 


Other key tools Netflix uses include Metacat, which allows its users to analyze metadata with several systems, such as Hive, Teradata, or Redshift. Netflix's Big Data Portal serves as a single interface for access to its Redshift, Teradata, and other data warehouse platforms. Netflix also uses Apache Spark, for large scale data processing, and Jupyter Notebook, for document sharing.
 
TAKEAWAY TREND
Netflix' success at meeting its customers' expectations largely hinges on how well it makes use of advanced tools to analyze roughly 60 petabytes of data on the cloud.
Explore the Trend: Real feedback on big data for the first time: how has it fared?

Read more on InformationWeek
more contributions
SUBSCRIBE TO THE NEWSLETTER
{POPUP_CONTENT}