Search results for: AWS

Moving Past Infrastructure Limitations

// 04.20.2016 // Infrastructure

Here at MediaMath, we’re quite fond of data. It would be surprising to hear someone say they’re not fond of data, of course, but we’ve spent the last 18 months proving to ourselves and our clients that we really mean it. Our company is built around driving concrete, measurable results, and our clients – both internal and external – have sophisticated analytics teams that want access to the data we generate for their own analysis, owned marketing, budgeting, and more. In this post we will describe the journey from data warehouse to data platform and the success of ditching our […]

Recapping AWS re:Invent—3 Things That Got Our Developers Excited

// 10.22.2015 // Infrastructure

There’s a reason Amazon Web Services (AWS) re:Invent has become the go-to conference for developers in the cloud computing industry– the product launches and releases announced set the tone for the way companies will grow and change over the coming year. The conference has seen enormous growth over it’s four-year history and, this year, more than 18,000 developers descended on Las Vegas to witness 21 product and feature launches and over 275 sessions and workshops. Here is what members of the MediaMath team had to say about what they found the most exciting at re:Invent: Event-driven Architecture “Enterprises with strong […]

Data Liberation at MediaMath

// 04.15.2015 // Data

MediaMath was recently at Amazon Web Services Re:invent 2014, where we presented on our open data platform and data liberation project, both of which are enabled by a variety of tools including many AWS tools. Below is a recording of our presentation: Data Liberation at MediaMath. Aggregating and processing terabytes of data per day is a challenge for any technology company. As marketers and brands become more sophisticated consumers of data, enabling granular levels of access to targeted subsets of data from outside your firewalls presents new challenges. In this presentation, VP of Engineering Edward Fagin and Senior Director of Data […]

Extending Play’s validation to work with Big Data tools like DynamoDB, S3, and Spark

// 03.18.2015 // Data

In this two-part blog series, we are looking at how MediaMath uses Play’s API to perform data validation on big data pipelines. In part one, we covered data validation with Play’s combinator-based API. In part two, we’ll extend that data validation to work with Amazon Web Services DynamoDB, AWS S3, and Spark. Extending validation to work with AWS DynamoDB MediaMath uses a variety of technologies in our analytics stack, including AWS DynamoDB. DynamoDB is a distributed, fault-tolerant key value store as a service that makes it easy to store/query massive datasets. We use it to power a few internal troubleshooting […]

Scaling data tools: How Play enables strongly typed big data pipelines

// 03.04.2015 // Data

The other day, I was talking with a colleague about data validation, and the Play web framework came up. Play has a nice API for validating HTML form and JSON submissions. This works great when you’re processing small amounts of data from the web-tier of your application. But could that same tech benefit a Big Data team working on a backend powered by Hadoop or Spark? We decided to find out, and the results were encouraging. The secret sauce? Play’s combinator-based approach to data validation. Whether your data is big or small, garbage in is garbage out MediaMath processes TBs […]

VPN, security groups, & more on NATs: Part 2 of our Hybrid Cloud Tips & Tricks Series

// 11.19.2014 // Data

Today’s post picks up where we left off last week. As a refresher, here at MediaMath, we run a hybrid data center-cloud environment. In this two-part blog series, I will be highlighting a couple of the trickier aspects of this integration with a focus on maintaining data integrity between your in-house data centers and the cloud – specifically, an Amazon Web Services cloud. Go to part 1: VPCs, Jump Boxes, and NATs Using a NAT on a Public Subnet Some of our services need endpoints accessible from our in-house data centers. These services must go in a public subnet with […]

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