Remove Big Data Remove Efficiency Remove Retail Remove Scalability
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages.

Big Data 321
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Driving Bandwidth Cost Down for AWS Customers. - All Things.

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. For Amazon retail, some of those dimensions are low pricing, large catalog, fast shipping, and convenience. Our account managers periodically call customers to work with them to see if there are opportunities to create better efficiencies and lower bills.

AWS 104
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Data Mining Problems in Retail

Highly Scalable

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Retail 152
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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. “The weakness of a data lake is they fail when you need to access them fast,” Pawlowski said.

Analytics 187
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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. All around us we see that the AWS capabilities foster a culture of experimentation with businesses of all sizes.

AWS 166