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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

We need robust versioning for data, models, code, and preferably even the internal state of applications—think Git on steroids to answer inevitable questions: What changed? 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.

IT 364
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12 data science certifications that will pay off

CIO Business Intelligence

According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024. Check out our list of top big data and data analytics certifications.) The exam consists of 60 questions and the candidate has 90 minutes to complete it.

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

Pruitt says the airport’s new capabilities provide data-driven insights for improving operations, passenger experience, and non-aeronautical revenue across airport business units. Applying AI to elevate ROI Pruitt and Databricks recently finished a pilot test with Microsoft called Smart Flow.

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AzureML and CRISP-DM – a Framework to help the Business Intelligence professional move to AI

Jen Stirrup

Although CRISP-DM is not perfect , the CRISP-DM framework offers a pathway for machine learning using AzureML for Microsoft Data Platform professionals. AI vs ML vs Data Science vs Business Intelligence. They may also learn from evidence, but the data and the modelling fundamentally comes from humans in some way.

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At AstraZeneca, data and AI are more than game changers – they are life changers

CIO Business Intelligence

As one of the world’s largest biopharmaceutical companies, AstraZeneca pushes the boundaries of science to deliver life-changing medicines that create enduring value for patients and society. Before AI Bench, every data science project was like a separate IT project. We would spend weeks getting the right environment in place.”.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

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Cloudera’s Open Data Lakehouse Supercharged with dbt Core(tm)

Cloudera

We’re excited to announce the general availability of the open source adapters for dbt for all the engines in CDP — Apache Hive , Apache Impala , and Apache Spark, with added support for Apache Livy and Cloudera Data Engineering. This variety can result in a lack of standardization, leading to data duplication and inconsistency.