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Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. Consequently, access control mechanisms also need to scale constantly to handle the ever-increasing diversification.

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How Snowflake and Merit Helped Provide Over 120,000 Students with Access to Education Funding 

Snowflake

Let’s delve into these three specific educational-choice programs and how Snowflake integrates with Merit to support their use of data for good and make their meaningful program missions a reality — providing more than 120,000 students with access to funding so far, and set to grow. The work we do together is truly meaningful. ”

Education 105
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Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

The name comes from the concept of “spare cores:” machines currently unused, which can be reclaimed at any time, that cloud providers tend to offer at a steep discount to keep server utilization high. The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. Tech stack.

Cloud 332
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Data Access API over Data Lake Tables Without the Complexity

Towards Data Science

Data Access API over Data Lake Tables Without the Complexity Build a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go Photo by Joshua Sortino on Unsplash 1. We want to create a service that will expose just 3 fields from this parquet table for fast API access: name , last_name , and age.

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How Meta discovers data flows via lineage at scale

Engineering at Meta

This information is then utilized to identify relevant matches with other people who have specified matched values in their dating preferences. However, these tools are limited by their lack of access to runtime data, which can lead to false positives from unexecuted code. DPP ) and libraries (e.g., PyTorch ), workflow engines (e.g.,

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Part 1: A Survey of Analytics Engineering Work at Netflix

Netflix Tech

This fragmentation leads to inconsistencies and wastes valuable time as teams end up reinventing metrics or seeking clarification on definitions that should be standardized and readily accessible. Our ecosystem enables engineering teams to run applications and services at scale, utilizing a mix of open-source and proprietary solutions.

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities. Several organizations utilize multiple cloud providerssuch as AWS, Azure, and Google Cloudto enhance risk mitigation.

Cloud 82