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Stuff The Internet Says On Scalability For November 23rd, 2018

High Scalability

Waqas Dhillon : The goal of in-database machine learning is to bring popular machine learning algorithms and advanced analytical functions directly to the data, where it most commonly resides – either in a data warehouse or a data lake. Can you eat more after Thanksgiving? Lots of leftovers.

Internet 174
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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. After that, I joined MySpace back at its peak as a data engineer and got my first taste of data warehousing at internet-scale. When I joined Netflix back in 2011, our content analytics team was just 3 people.

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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

Security misconfiguration Security misconfiguration covers the basic security checks every software development process should include. Continuously monitor applications in runtime for known vulnerabilities and prioritize patching based on criticality: for example, adjacency to the internet and/or critical data.

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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154
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MySQL or PostgreSQL: Which is Better?

Percona

Both MySQL and PostgreSQL do the basics very well From a high level, one relational database management system is pretty much like every other relational database management system. These problems have been rectified, but the old reputation lives on in the annals of the Internet and the memories of critics.

Database 119
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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. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 111
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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. What is an MPP Database?

Big Data 321