Analytics Architecture Data Engineering Strategy 
The Netflix TechBlog
NOVEMBER 14, 2023
By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Some techniques we used were: 1.
Dynatrace
JULY 6, 2022
And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? This requires significant data engineering efforts, as well as work to build machine-learning models. Creating a sound IT automation strategy. So, what is IT automation? What is IT automation?
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Abhishek Tiwari
JULY 12, 2018
Building data pipelines can offer strategic advantages to the business. It can be used to power new analytics, insight, and product features. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects.
The Netflix TechBlog
NOVEMBER 20, 2023
These challenges are currently addressed in suboptimal and less cost efficient ways by individual local teams to fulfill the needs, such as Lookback: This is a generic and simple approach that data engineers use to solve the data accuracy problem. Users configure the workflow to read the data in a window (e.g.
The Netflix TechBlog
JANUARY 11, 2022
Curious to learn more about other Data Science and Engineering functions at Netflix? To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham.
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