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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.

Big Data 321
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Sponsored Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 100
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Cloud-Based Testing – A tester’s perspective

Testsigma

However, the primary goal of traditional testing and cloud-based testing remains the same i.e., to deliver high-quality and efficient software. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Cloud-based testing comprises cloud-based test automation as well.

Cloud 67
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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166
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Expanding the AWS Cloud – Introducing the AWS Europe (Stockholm) Region

All Things Distributed

In April 2017, Amazon Web Services announced that it would launch a new AWS infrastructure region Region in Sweden. Today, I'm happy to announce that the AWS Europe (Stockholm) Region, our 20th Region globally, is now generally available for use by customers. Public sector.

AWS 124
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Python at Netflix

The Netflix TechBlog

takes place in Amazon Web Services (AWS), whereas everything that happens afterwards (i.e., Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. We also use Python to detect sensitive data using Lanius.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202