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Cloudera Data Engineering 2021 Year End Review

Cloudera

New in 2021. Figure 2 – CDE product launch highlights in 2021. At the storage layer security, lineage, and access control play a critical role for almost all customers. As data teams grow, RAZ integration with CDE will play an even more critical role in helping share and control curated datasets. Happy New Year.

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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. The post The DataOps Vendor Landscape, 2021 first appeared on DataKitchen.

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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! Data for Good.

Banking 76
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How Skyscanner Enabled Data & AI Governance with Monte Carlo

Monte Carlo

After one particularly tough week in the winter of 2021, when marketing data was disrupted by daily incidents and downtime, a group of data engineers decided to create a full diagram of the data systems. The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months.

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How Skyscanner Enabled Data & AI Governance with Monte Carlo

Monte Carlo

After one particularly tough week in the winter of 2021, when marketing data was disrupted by daily incidents and downtime, a group of data engineers decided to create a full diagram of the data systems. The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. These formats are transforming how organizations manage large datasets. Though basic and easy to use, traditional table storage formats struggle to keep up. Why are They Essential?

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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?