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Cloudera Data Engineering 2021 Year End Review

Cloudera

New in 2021. Figure 2 – CDE product launch highlights in 2021. As data teams grow, RAZ integration with CDE will play an even more critical role in helping share and control curated datasets. Early on in 2021 we expanded our APIs to support pipelines using a new job type — Airflow. Modernizing pipelines.

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Bring Geospatial Analytics Across Disparate Datasets Into Your Toolkit With The Unfolded Platform

Data Engineering Podcast

What (if any) are the datasets or analyses that you are consciously not investing in supporting? The company was founded in 2021 by Kirk Marple after his tenure as CTO of Kespry. What (if any) are the datasets or analyses that you are consciously not investing in supporting?

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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. Soda doesn’t just monitor datasets and send meaningful alerts to the relevant teams. The post The DataOps Vendor Landscape, 2021 first appeared on DataKitchen. Soda Data Monitoring — Soda tells you which data is worth fixing.

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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

Given the way we have seen communities and workplace cultures come together and stand for change over what has been a disruptive 20 months, we are proud to introduce the People First category to the 2021 DIA. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners!

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Data Engineering Annotated Monthly – August 2021

Big Data Tools

But it is incredibly hard to determine whether a dataset is ethical, unbiased, and not skewed manually. But what if we need to query the same dataset multiple times? Conferences SmartData 2021 – This international conference on data engineering is organized by a Russian company, but it aims to have at least 30% of the talks in English.

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Data Engineering Annotated Monthly – August 2021

Big Data Tools

But it is incredibly hard to determine whether a dataset is ethical, unbiased, and not skewed manually. But what if we need to query the same dataset multiple times? Conferences SmartData 2021 – This international conference on data engineering is organized by a Russian company, but it aims to have at least 30% of the talks in English.

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Exploring MNIST Dataset using PyTorch to Train an MLP

ProjectPro

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?