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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

Exploratory data science and visualization: Access Iceberg tables through auto-discovered CDW connection in CML projects. Also, selecting the option to enable Iceberg analytic tables ensures the VC has the required libraries to interact with Iceberg tables. 8 2001 5967780. 1 2008 7009728. 2 2007 7453215. 3 2006 7141922.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. They test each student’s grasp of a particular sentence or paragraph—but not of a whole story.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. You can analyze streaming data interactively using managed Apache Zeppelin notebooks with Amazon Managed Service for Apache Flink Studio in near-real time.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That resulted in server farms, collecting volumes of log data from customer interactions, data which was then aggregated and fed into machine learning algorithms which created data products as pre-computed results, which in turn made web apps smarter and enhanced e-commerce revenue. Instead, they refactored their monolithic web apps (e.g.,

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St.

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Data Science at The New York Times

Domino Data Lab

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion. And it works.