Data Engineering Metrics Off-The-Shelf 
Cloudera
JULY 24, 2023
In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).
O'Reilly Media - Data
MARCH 22, 2018
Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.
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The Accidental Successful CIO
MAY 12, 2021
These BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps designed to provide users with detailed intelligence about the state of the business. The challenge that CIOs are facing is how best to make use of these new tools?
Netflix Tech
MARCH 7, 2024
Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.
O'Reilly Media - Ideas
MARCH 31, 2020
We won’t go into the mathematics or engineering of modern machine learning here. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data.
Altexsoft
FEBRUARY 22, 2022
Taking good care of your fleet assets pays off by prolonging their lifecycle, increasing efficiency, and reducing the probability of failures. Prevention is better than cure. If you think vehicle breakdowns are inevitable, we got news for you. These risks and losses can – and have to! – be avoided with proactive maintenance.
Altexsoft
OCTOBER 21, 2022
It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage?
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