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Angelo Khatib - Product Manager & co-Founder @doolyk
Michele Monaco – Sales Manager @doolyk
Dario Paoletti – Senior Consul...
Content
1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
2 Big Data
6 Use Cases
w e a r e a s t r o n a u t s o n p l a n e t e a r t h
#NeverStopExploring
Doolytics a Horsa company
Dedicated company Doolytics Srl with specialised team on:
• doolyk
• Hadoop and its major distributions (Cloudera,
Hortonw...
Content
2 Big Data
1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
6 Use Cases
Big Data
Landscape
90% of world’s data was
created in the last 2 years
Big Data Market will grow x
30 in next 6 years
Big Data Market
Because there’s a
“Data Deluge” which
we can’t collect in
bottles
Why build a data lake
Some companies approach the
“Big Data” issue moving from a
traditional Datawarehouse to a
modern columnar High
Performance...
Big Data scientist break big data into
4 dimensions, Volume, Velocity,
Variety, Value.
With the implementation of
solution...
1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
2 Big Data
6 Use Cases
Content
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...
Enabling BI Business Users to perform:
• Data Exploration on Hadoop
• Real Time Analytics
• Analysis on Structured & Unstr...
1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
2 Big Data
6 Use Cases
Content
• doolyk is a comprehensive set of tools to build and manage
unlimited data with Big Data approach
• doolyk is NoSQL conne...
BI TOOL
(Data Lake)
Single Data Repository
doolyk web
How does it work ? – Architecture (sample)
Content
1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
2 Big Data
6 Use Cases
Hadoop stack complexity
• Enables the creation of very «light» analytics models
• Enables business users to do data exploration on doolyk/Hadoop
•...
Content
1 Introduction
3 The Challenge
4 The Solution – doolyk
5 The Benefits
2 Big Data
6 Use Cases
• Telco: CDR’s Analysis
• Telco: Traffic Analysis
• Insurance: Telematics
• Insurance: Black Box Analysis
• Manufacturing:...
• Major Clothing Retailer being able to dynamically determine stock turnover, on hand and
inventory. Side benefit: saves 1...
#NeverStopThanks
Angelo Khatib - Product Manager & co-Founder @doolyk
angelo.khatib@doolyk.com
Michele Monaco – Sales Mana...
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doolyk_rev_p_001.compressed

  1. 1. Angelo Khatib - Product Manager & co-Founder @doolyk Michele Monaco – Sales Manager @doolyk Dario Paoletti – Senior Consultant @doolyk
  2. 2. Content 1 Introduction 3 The Challenge 4 The Solution – doolyk 5 The Benefits 2 Big Data 6 Use Cases
  3. 3. w e a r e a s t r o n a u t s o n p l a n e t e a r t h #NeverStopExploring
  4. 4. Doolytics a Horsa company
  5. 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. 6. Content 2 Big Data 1 Introduction 3 The Challenge 4 The Solution – doolyk 5 The Benefits 6 Use Cases
  7. 7. Big Data Landscape
  8. 8. 90% of world’s data was created in the last 2 years Big Data Market will grow x 30 in next 6 years Big Data Market
  9. 9. Because there’s a “Data Deluge” which we can’t collect in bottles Why build a data lake
  10. 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. 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. 12. 1 Introduction 3 The Challenge 4 The Solution – doolyk 5 The Benefits 2 Big Data 6 Use Cases Content
  13. 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. 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. 15. 1 Introduction 3 The Challenge 4 The Solution – doolyk 5 The Benefits 2 Big Data 6 Use Cases Content
  16. 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
  17. 17. BI TOOL (Data Lake) Single Data Repository doolyk web How does it work ? – Architecture (sample)
  18. 18. Content 1 Introduction 3 The Challenge 4 The Solution – doolyk 5 The Benefits 2 Big Data 6 Use Cases
  19. 19. Hadoop stack complexity
  20. 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
  21. 21. Content 1 Introduction 3 The Challenge 4 The Solution – doolyk 5 The Benefits 2 Big Data 6 Use Cases
  22. 22. • Telco: CDR’s Analysis • Telco: Traffic Analysis • Insurance: Telematics • Insurance: Black Box Analysis • Manufacturing: IOT • Retail: Dynamically calculate stock KPI’s • Banking: Risk Management • Banking: Web Analytics • Banking: Fraud Detection • …. Use Cases – Our Experiences
  23. 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
  24. 24. #NeverStopThanks Angelo Khatib - Product Manager & co-Founder @doolyk angelo.khatib@doolyk.com Michele Monaco – Sales Manager @doolyk angelo.khatib@doolyk.com

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