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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.

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40+ Best Web Development Blogs of 2018

KeyCDN

Reading and following the right web development blogs makes it much easier to get a solid education. That’s why in this post, we’ve compiled a list of the top web development blogs that will help you find your footing and acquire essential skills in modern web dev. Visit website 3. Visit website 5. Visit website 9.

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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. The posting on the AWS developer blog also has some more background.

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Path to NoOps part 1: How modern AIOps brings NoOps within reach

Dynatrace

Mike Gualtieri of Forrester Research, who coined the term NoOps , once said in his blog post, “NoOps means that application developers will never have to speak with an operations professional again.”. NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team.

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Less is More: Engineering Data Warehouse Efficiency with Minimalist Design

Uber Engineering

Once identified, … The post Less is More: Engineering Data Warehouse Efficiency with Minimalist Design appeared first on Uber Engineering Blog. In our experience, optimizing for operational efficiency requires answering one key question: for which tables does the maintenance cost supersede utility?

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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Right Sizing is in progress and will be covered with more details in a dedicated technical blog post later. Stay tuned.

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