Blueshift and LiveRamp logos

Get Smarter with Your Ad Spend: Blueshift Partners with LiveRamp to Extend Audience Syndication

Since the dawn of digital advertising, marketers have relied on 3rd-party data. Now the advertising world is being flipped on its head with the elimination of 3rd-party cookies, restricted use of Apple’s IDFA without user consent, and increased…
insights

Dive Deeper Into Your Multi-Channel Campaign Performance with Blueshift Insights

For the data-driven marketer of today, it’s not only important to send top-notch communications powered by first-party customer data — marketers need immediate access to actionable insights into their campaign performance to optimize their…
infobip

Introducing InfoBip Support for Blueshift

For businesses looking to improve their multi-channel marketing strategies, finding the right solution can be overwhelming — especially when sending messages across channels in multiple countries. One channel marketers can’t forgo is SMS,…
developer

Blueshift’s Developer Portal: Explore, test, and validate APIs

Calling all developers, IT professionals, and engineers -- did you know we have a developer portal? In addition to our Blueshift Help center, our Developer Portal is the go-to place for anything engineering/IT related within the Blueshift platform.…
Ruby

Passing named arguments to Ruby Rake tasks using docopt for data science pipelines

Introduction Ever considered using rake for running tasks, but got stuck with the unnatural way that rake tasks pass in the arguments? Or have you seen the fancy argument parsing docopt and alikes can do for you? This article describes how…
Connecting Hive Spark on AWS

Connecting Hive and Spark on AWS in five easy steps

Hive and Spark are great tools for big data storing, processing and mining. They are usually deployed individually in many organizations. While they are useful on their own the combination of them is even more powerful. Here is the missing HOWTO…
Running Apache Spark on AWS

Running Apache Spark on AWS

Apache Spark is being adopted at rapid pace by organization big and small to speed up and simplify big data mining and analytics architectures. First invented by researchers at AMPLab at UC-Berkeley, Spark codebase is being worked upon by hundreds…
Setting up Hadoop

Setting up Hadoop 2.4 and Pig 0.12 on OSX locally

This is first of many blog posts to come from our dev bootcamp. Often times you want to test your scripts and run code locally before you hit the push button. We want to share  our findings that we think will be helpful to the wider world…