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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

Looking at the program I have the same problem as I always had with CMG conferences – how could I attend all the sessions I want considering that we have multiple tracks? So you need to understand what is going on there – and Debbie is definitely an authority in that area. day program. Something you shouldn’t miss.

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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

While working on my PhD in political science, I realized my curiosity was always more piqued by methodological coursework, which led me to take as many stats/data science courses as I could. Later I enrolled in a data science program focused on helping academics transition to industry roles.

Analytics 207
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Why test data management is more important than you think

Testsigma

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. What is test data? The test data required by testing team to test an application can be of two types: 1.

Testing 60
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40+ Best Web Development Blogs of 2018

KeyCDN

Its blog articles will definitely come in handy as your projects scale, but they’re also great reading for those who simply want to understand the philosophies behind specific dev practices in the front end or server side. Visit website 5. Be sure to check it out if your dev process needs a creative kick in the pants. Visit website 12.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

Data lakehouses typically provide support for data ingestion through a variety of methods. These include application programming interfaces, streaming, and more. This data lands in its original, raw form without requiring schema definition. Therefore, it contains all of an organization’s data.

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Data Mining Problems in Retail

Highly Scalable

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns. Khan and D.

Retail 152