5. Dedicated company Doolytics Srl with specialised team on:
• doolyk
• Hadoop and its major distributions (Cloudera,
Hortonworks, Big Insight)
• Elasticsearch
• Appliances / Columnar db : Sap Hana – HP Vertica
• Predictive & Advanced Analytics: R, Spark , Python, SPSS
• IOT : Flume – Storm – Kafka
• …….
Big Data Competences
6. Content
2 Big Data
1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
6 Use Cases
10. Some companies approach the
“Big Data” issue moving from a
traditional Datawarehouse to a
modern columnar High
Performance Database or to a
HDFS (File system). This is a just a
merely ICT update
Is Big Data just this?
ERP, CRM, Other DB
BI Tool
EDW / DW on
NETEZZA, HANA, VERTICA
STAGING AREA
IS BIG DATA JUST THIS ?
11. Big Data scientist break big data into
4 dimensions, Volume, Velocity,
Variety, Value.
With the implementation of
solutions like SAP Hana, HP Vertica
and other High Performance DB a
Company can only resolve the
VOLUME issue.
ERP, CRM, Other DB
BI Tool
EDW / DW on
NETEZZA, HANA, VERTICA
STAGING AREA
? ?
What about Variety & Velocity ?
12. 1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
2 Big Data
6 Use Cases
Content
13. from "The Rock“ by Thomas Stearns Eliot 1934
Where is the Life we have lost in living?
Where is the wisdom we have lost in knowledge?
Where is the knowledge we have lost in information?
The Challenge
14. Enabling BI Business Users to perform:
• Data Exploration on Hadoop
• Real Time Analytics
• Analysis on Structured & Unstructured Data
Preserving and continuing to develop existing skills and
investments made on BI Tool in memory (like Qlik)
Leveraging a modern, cost effective and linearly scalable
infrastructure
The Challenge
15. 1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
2 Big Data
6 Use Cases
Content
16. • doolyk is a comprehensive set of tools to build and manage
unlimited data with Big Data approach
• doolyk is NoSQL connector for Hadoop
• doolyk use a low cost hardware for infrastructure
• doolyk don’t need ETL to connect any type of data
• doolyk use a native interface based on standard html objects
• doolyk is a solution for all analytics needs
• doolyk … is your solution for your next Big Data project
The solution - doolyk
20. • Enables the creation of very «light» analytics models
• Enables business users to do data exploration on doolyk/Hadoop
• Enables business users to analyse both structured, unstructured and realtime data
• Perfectly integrates with BI Tool (like Qlik) every time there’s need for data discovery
on billions of records / Terabyte of data
• Solves Hadoop’s concurrency and latency issues, which are unacceptable to BI (Qlik)
users, therby increasing the potential user base and improving the user experience
The Benefits - doolyk masks Hadoop stack
complexity
23. • Major Clothing Retailer being able to dynamically determine stock turnover, on hand and
inventory. Side benefit: saves 12 machine hours prevously spent doing data preparation and
ETL
• Major Insurance Company to analyse black box data feeds from cars in order to identify
customer clusters for targeted rates/services
• Major Bank to determine how and when customers are accessing which bank services, using
which different technology channels (ATM, Web Banking, App, etc) and from which devices
• Major Telco to determine which customers are accessing which services and monitoring
times, subscriptions rates and money spent (80 terabytes of data and 100 billion rows)
• Major Bank being able to analyse 60 billions rows (instead of 1.7 billions) when performing
anti-fraud controls
• Manufacturing - Pellet heater producer to monitor operational data to determine if the
device is operating correctly, correlating it to external data (ex. weather) and leveraging it as
a feedback for designers. Other benefit is to monitor the efficiency of maintenance contract
operators
• …..
Use Cases – Our Experiences
