doolyk_rev_p_001.compressed
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Doolyk is a tool that allows business users to explore and analyze both structured and unstructured data from Hadoop. It masks the complexity of the Hadoop stack and allows users to work directly with data in their existing BI tools. Doolyk has been used by companies in telecom, insurance, manufacturing, retail, banking and other industries to perform real-time analytics, inventory analysis, fraud detection, customer profiling and more using data from sources like call detail records, sensor data, web logs and financial transactions.
doolyk_rev_p_001.compressed
- 1. Angelo Khatib - Product Manager & co-Founder @doolyk Michele Monaco Sales Manager @doolyk Dario Paoletti Senior Consultant @doolyk
- 2. Content 1 Introduction 3 The Challenge 4 The Solution doolyk 5 The Benefits 2 Big Data 6 Use Cases
- 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. Doolytics a Horsa company
- 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
- 8. 90% of worlds data was created in the last 2 years Big Data Market will grow x 30 in next 6 years Big Data Market
- 9. Because theres a Data Deluge which we cant collect in bottles Why build a data lake
- 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 dont 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. BI TOOL (Data Lake) Single Data Repository doolyk web How does it work ? Architecture (sample)
- 18. Content 1 Introduction 3 The Challenge 4 The Solution doolyk 5 The Benefits 2 Big Data 6 Use Cases
- 20. Enables the creation of very 束light損 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 theres need for data discovery on billions of records / Terabyte of data Solves Hadoops 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. Content 1 Introduction 3 The Challenge 4 The Solution doolyk 5 The Benefits 2 Big Data 6 Use Cases
- 22. Telco: CDRs Analysis Telco: Traffic Analysis Insurance: Telematics Insurance: Black Box Analysis Manufacturing: IOT Retail: Dynamically calculate stock KPIs Banking: Risk Management Banking: Web Analytics Banking: Fraud Detection . Use Cases Our Experiences
- 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. #NeverStopThanks Angelo Khatib - Product Manager & co-Founder @doolyk angelo.khatib@doolyk.com Michele Monaco Sales Manager @doolyk angelo.khatib@doolyk.com