Download - Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

Transcript
Page 1: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

Big Data Playbook

Page 2: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

2

big data \big 'dat-ə\ noun referring to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infrastructure to address efficiently.

Big Data Defined

Page 3: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

3

C-Level View of Big Data – Not “Big”

from Big Data Executive Summary

64% - Ingest diverse, new data in real-time

Page 4: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

4

Consideration – Online vs. Offline

• Long-running• High-Latency• Availability is lower

priority

• Real-time• Low-latency• High availability

Online Offlinevs.

Page 5: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

5

Consideration – Online vs. Offline

Online Offlinevs.

Page 6: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

Use Cases and Production Systems

Page 7: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

7

Hadoop is good for…

Risk Modeling Churn Analysis Recommendation Engine

Ad Targeting Transaction Analysis

Trade Surveillance

Network Failure

PredictionSearch Quality Data Lake

Page 8: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

8

MongoDB is good for…

360 Degree View of the Customer

Mobile & Social Apps

Fraud Detection

User Data Management

Content Management

& DeliveryReference

Data

Product Catalogs

Machine to Machine Apps Data Hub

Page 9: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

9

MongoDB and Hadoop are Complementary

• “Data Lake”• In-depth analytics

• Real-time systems• Light-weight analytical

workloads

Page 10: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

10

Use MongoDB+Hadoop Together

E-Commerce

• Products & Inventory• Real-time

recommendations• Customer profile• Session management• Customer clickstream• Fraud detection

• Transaction history• Clickstream history• Recommendation

model• Fraud modeling

Analysis

MongoDB Connector for

Hadoop

Page 11: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

11

Customer example – Global Travel Firm

Travel

• Flights, hotels and cars

• Real-time offers• User profiles,

reviews• User metadata

(previous purchases, clicks, views)

• User segmentation• Offer recommendation

engine• Ad serving engine• Bundling engine

Algorithms

MongoDB Connector for

Hadoop

Page 12: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

12

Customer example – MetLife

Insurance

• Insurance policies• Demographic data• Customer web data• Call center data• Real-time churn

detection

• Customer action analysis

• Churn prediction algorithms

Churn Analysis

MongoDB Connector for

Hadoop

Page 13: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook

13

Customer example – Criteo

Ad-Serving

• Catalogs and products

• User profiles• Clicks• Views• Transactions

• User segmentation• Recommendation

engine• Prediction engine

Algorithms

MongoDB Connector for

Hadoop

Page 15: Webinar: MongoDB and Hadoop - Essential Tools for Your Big Data Playbook