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Thursday, 17 December 2015

Big Data: How to Build Solutions on Google Cloud Platform

How to Build Solutions on Google Cloud Platform




Learn how to use Google Cloud Platform products, services, and other features to build end-to-end solutions.

Big Data

Last updated December 17, 2015.


Real-time data analysis with Kubernetes, Redis, and BigQuery


Updated October 2015
Perform real-time data analysis of Twitter data using a pipeline built on Google Compute Engine, Kubernetes, Redis, and BigQuery.
 

Real-time logs analysis using Fluentd and BigQuery


January 2015
Log browser traffic to a nginx web server using Fluentd, query the logged data by using BigQuery, and then visualize the results.

Real-time data analysis with Kubernetes, Google Cloud Pub/Sub, and BigQuery


Updated October 2015
Perform real-time data analysis of Twitter data using a pipeline built on Google Compute Engine, Kubernetes, Cloud Pub/Sub, and BigQuery.
 

Processing Logs at Scale using Cloud Dataflow


November 2015
Use Cloud Dataflow to build analytical pipelines that process log entries from multiple sources. This solution generates log data from microservices that run on Google Container Engine. You will combine the log data in ways that help you extract meaningful information and use BigQuery to persist insights derived from the data, which can be used for analysis, review, and reporting.

Real-Time Bidder Solution for Google Cloud Platform


Updated June 2015
Real-time bidding (RTB) is a server-to-server integration option for network ad buyers that allows networks to evaluate and bid on an impression by impression basis. This paper presents a pair of solutions that can be used as references for building and deploying multi-region, real-time bidders on Cloud Platform.
 

Netflix Lipstick on Google Compute Engine


Updated May 2015
Netflix Lipstick provides a web-based graphical interface for visualizing data processing jobs launched by Apache Pig. This document contains instructions for building Lipstick on a Google Compute Engine instance and deploying it on a Hadoop cluster running on Google Compute Engine.

Google Analytics Premium + Google BigQuery for Predictive Digital Marketing


July 2015
Google Analytics Premium, the full featured website traffic analytics tool, has been integrated with BigQuery. That means you can have full-resolution Google Analytics logs automatically imported to your BigQuery project several times per day.
Also check out the BigQuery tutorials.
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