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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Like any other marketing strategy, you must measure email performance. Behavioral Information includes understanding the audience’s interest and interaction with your email. Digital workers measure almost anything they choose. “ Outcome analysis ” measures the effectiveness of your campaigns. Automation.

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Optimizing energy production with the latest smart grid technologies

IBM Big Data Hub

A smart grid is a digital electricity network that supplies power to consumers using interactive two-way communication, enabling automated, advanced energy delivery and a litany of opportunities for consumers to control their electricity use and costs. And real-time grid monitoring is vital for optimizing smart grid technology.

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What is cloud cost optimization?

IBM Big Data Hub

Moving data and applications from traditional on-premises data centers to cloud infrastructure offers companies the potential for significant cost savings through accelerating innovation, keeping a competitive edge and better interacting with customers and employees. Why do you need cloud cost optimization?

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Monitor and optimize cost on AWS Glue for Apache Spark

AWS Big Data

One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark. In this post, we demonstrate a tactical approach to help you manage and reduce cost through monitoring and optimization techniques on top of your AWS Glue workloads. includes the new optimized Apache Spark 3.3.0

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Optimizing Hive on Tez Performance

Cloudera

Reviewing the Tez architecture design and the details regarding how the initial tasks parallelism and auto-reduce parallelism works will help you optimize the query performance. . Container reuse: This is an optimization that limits the startup time impact on containers. This saves time interacting with YARN. hive.cbo.enable.

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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.