Dynatrace
APRIL 19, 2023
People now depend on digital experiences for access to goods, services, and entertainment. As such, the corporation’s mission is to deliver exceptional—and healthy—gambling entertainment experiences. Business Insights is a managed offering built on top of Dynatrace’s digital experience and business analytics tools.
The Netflix TechBlog
JULY 15, 2021
In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. What keeps me engaged and enjoying data engineering is giving super-suits and adrenaline shots to analytics engineers and data scientists. are these two movie names in different languages really the same?)
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The Netflix TechBlog
MAY 28, 2021
Part of our series on who works in Analytics at Netflix?—?and That person grew up dreaming of working in the entertainment industry. Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment.
All Things Distributed
NOVEMBER 15, 2016
SPICE sits between the user interface and the data source and can rapidly ingest all or part of the data into its fast, in-memory, columnar-based data store that’s optimized for analytical queries. Collaboration and sharing of live analytics : Users often want to slice and dice their data and share it in various ways.
Dynatrace
DECEMBER 14, 2021
The importance of factors such as price, safety, convenience, change fees, loyalty points, entertainment – the list can be very long – varies from one customer to the next, and may even change from visit to visit. In fact, your customers are unpredictable and easy to lose because they’re digital.
Dynatrace
DECEMBER 14, 2021
The importance of factors such as price, safety, convenience, change fees, loyalty points, entertainment – the list can be very long – varies from one customer to the next, and may even change from visit to visit. In fact, your customers are unpredictable and easy to lose because they’re digital.
The Netflix TechBlog
MARCH 2, 2021
Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production.
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