Big Data at Globant

Success Cases in AWS

Sabina A. Schneider

What is Big Data?

What is Data Science?

Data Architecture Enterprise

Information

Strategy

High

Availability

and

Performance

Mission

Critical

NoSQL

Distributed

Solutions

Product Positioning in the Market

Deeper insight about your Customers

Analytics and Alerts on KPIs

Cross-reference data with different sources

Core Technologies

BigData Ecosystem

Third Party

Integration

Elastic Load Balancer

Web Client

Mobile Devices

BigData – storage and processing

Web Client

Analytics

Dashboard

Web App

Mobile Devices in the cars

Auto scaling singly

Storm Real Time processing

Hadoop

Pig Trends

NoSQL DB EMR Cluster S3 Bucket Cloudfront

Web App

Web App

Scalable Architecture in the Cloud

Metamarkets has

developed a web-based

analytics console that

supports drill-downs and

roll-ups of high dimensional

data sets (real-time

bidding), comprising billions

of events, in real-time.

Data store collects 10 GB

of information every day,

and has over 15 TB.

Reports using Hadoop and

Hive on AWS Infrastructure.

The 40-instance cluster can

scan, filter, and aggregate 1

billion rows in 950

milliseconds.

Gree is a leading

casual game

development

company.

Globant developed a

Hadoop based

architecture to store

gaming events and

generate telemetry

information. These

metrics are used to

analyze, segment

gamer profiles,

estimate revenue and

perform predictive

analysis on game

performance.

Products Positioning

in the Market

• Tweets recollection on

specific events (eg:

elections), integrated

with a set of

MapReduce based

queries

• Data stored in a 20-

node Hadoop cluster

• Google Visualization

tools for widget based

Dashboard

What?

• Innovation to the Financial Market

• Sentiment Analytics to what’s happening now and what can happen next in the

Market

• Predictions one week in advance according to comments on Tweeter

Challenges

• Aggresive Real Time analysis on Social Networks

• Dashboarding comparing with real values from Yahoo Finances

• Sentiment Analysis and Languague filtering

• Analytics Predictions

Data Science

Sophisticated

Mathematical

algorithm

Statistical

Algorithm

Predictions on KPIs

Predictions on Metrics

Classification

Clustering

Recommend

ation

Moneygram Transaction Scoring Analysis of Moneygram historical transactional data labeled as Fraudulent/Non Fraudulent

• 8 years of transactional data to analyze

Training using Support Vector Machines of historical data

• Classification achieved by using only a subset of data using soft margins (by use of slack

variables) to construct dividing hyperplane

• Possible use of kernel principal components to preprocess data and reduce dimensionality of

training dataset

• Avoid high computation times (sparse solution)

Benefits

• Detect fraudulent transactions with a higher level of accuracy

• Increase in customer service satisfaction (less false-positives)

Shopping cart suggestion engine Generate suggestions based on client shopping history

• Cluster a large dataset representing clients' shopping history using

unsupervised learning algorithms.

• Use information from new/existing client to classify into the clusterized

shopping history from ALL clients.

• Generate suggestions based on the cluster's shopping preferences

• Use of Hadoop and Mahout for clustering and posterior classification

• Metadata word clustering using Solr

• Content management and information sorting/ categorization classified by location.

Enhance the performance at a view level.

• Indexing of jwt content coming from different sources (internal and external) developed

with Solr on Lucene. Integration with myJwt.com: internal social network.

• organize the content storage: service running in the Cloud that receives content,

generate different assets (snapshot, thumbnails), extract metadata to be

centralized in one place

• myIdeas: collect ideas from different creative designers from different location

and share a bonus between the bright ideas

Our data visualization practice allows our customers to understand

the evolution of key business drivers, trends, and drill down into the

root causes of deviations.

Our HTML5 data visualization solution, allows us to combine the

flexibility of a custom made solution with a fast time to market. It’s

based in standard Widgets, allowing each user to customize the

dashboard as required, and visualize it on every device.

Data Visualization

Big Data Visualization Framework

Cloud server Browser User input

Video streaming

Kantar Media manages TV Advertisement displayed on DirecTV US.

We developed the addressable advertisement reporting solution, used by advertisers to plan and analyze the

performance of addressable advertisement.

Advertisement displayed on TV is customized to each user profile. The solution allows obtaining reliable

measurements from TV, analyzes the structure of the audience that has watched each advertisement, and

allows evaluating the ROI of the marketing campaign.

Touch screen based

scorecard, used by

the top management

to analyze and

compare results from

different countries

and products.

Thank you!