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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. There are fat books to teach you how to experiment ( or die! ). Insights worth testing. You can test landing pages. Public relations.

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Cloud migration best practices: Optimizing your cloud migration strategy 

IBM Big Data Hub

Re-platforming With a re-platforming migration, some adjustments or optimizations are made to the applications before moving them to the cloud. Additionally, without proper monitoring and optimization, ongoing cloud usage costs can escalate rapidly, leading to budget overruns and financial strain.

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10 Books that Data Analyst Should Read

FineReport

Then these books, I think you must read. The author is known as “the prophet of the big data era”, this book is the first of its kind in the study of big data systems. Although this book may have been somewhat outdated in the present, many of the ideas in it are still very useful. From Google. About thinking.

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Simplify your query management with search templates in Amazon OpenSearch Service

AWS Big Data

With its scalability, reliability, and ease of use, it’s a valuable solution for businesses seeking to optimize their data-driven decision-making processes and improve overall operational efficiency. Let’s say you have an index of books, and you want to search for books with publication date, ratings, and price.

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What is vibration analysis and how can it help optimize predictive maintenance?

IBM Big Data Hub

Understanding vibrations Vibrations are multidimensional, so vibration testing requires an understanding of various parameters. Rectifying issues using vibration analysis helps organizations optimize asset efficiency and reduce energy consumption. And since rotating and reciprocating components (e.g., motors, compressors, pumps, etc.)

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Memory Optimizations for Analytic Queries in Cloudera Data Warehouse

Cloudera

You can read previous blog posts on Impala’s performance and querying techniques here – “ New Multithreading Model for Apache Impala ”, “ Keeping Small Queries Fast – Short query optimizations in Apache Impala ” and “ Faster Performance for Selective Queries ”. . You can also contact your sales representative to book a demo.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner. Adapted from the book Effective Data Science Infrastructure. However, none of these layers help with modeling and optimization. An Overarching Concern: Correctness and Testing.

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