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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. Greenplum Advantages.

Big Data 321
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Kubernetes in the wild report 2023

Dynatrace

On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments.

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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. Cloud enables self-service analytics.

Analytics 135
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Dutch Enterprises and The Cloud

All Things Distributed

Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 129
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Hierarchical Navigation and Faceted Search on Top of Oracle Coherence

Highly Scalable

Some time ago I participated in design of a backend for one large online retailer company. Taking into account the previous considerations, performance requirements were set as 1000 faceted navigation requests/second per typical hardware blade. Storage nodes are basically Coherence storage nodes.

Ecommerce 100
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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

This is a given, whether you are using the highest quality hardware or lowest cost components. This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. Primitives not frameworks.

AWS 144