open source big data solution/platform based on .NET. Neuzilla is the studio behind Lantea.

1. Introduction to Lantea
.NET Open Source Big Data Solution

2. What is Lantea
• Open source big data platform
• Rich ETL (Extract-Transform-Load) features
• A platform that can help Data Scientist to collect and deal with data easily
• Import data from different source is extremely easy

3. Highlighted features of Lantea
• A lot of different data sources on different media
• Query aggregation data via SQL
• Very easy to collect data from websites, local file systems, emails and
databases
• Export data via a lot of formats and APIs

4. Target User of Lantea
• Data Scientists
• Marketing Analyzer
• Managers who needs BI
• Researchers
• Big data/BI Developers
• Deep Machine Learning Developers
Non-
Commercial
Commercial
Researchers
Data
Scientists
Big data/BI
Developers
Marketing
Analyzer
Open source
developers
Managers
who needs BI

5. Essential Elements of Big Data Platform
• Data/File Extraction
• Data Cleaning and Filtering
• Different ways of Analyzing data
• Real-time Processing
• Data Collection from Different Source
• Connect to Different Database Types
• Analysis Result Rendering
• Advanced Parameter Adjustment
Big Data
Extraction
Cleaning
Analysis
Data
Processing
Data
Collection
Parameter
Adjustment

6. Introduction to Lantea
Architecture Design and Use Case

7. Third-party Projects Included
• Toxy – Data Extraction framework
• Spidey – Web Spider framework
• EQueue – Queue Implementation
• CacheAdapter – Cache Provider
• Irony – Compiler Implementation
• ServiceStack.Redis– Redis Client
• ScrapySharp – Html Parser and Selector
• Autofac – IOC Container
• Log4net – Configurable Logging System
• Datatables.js – Web Spreadsheet
• Thinkecture Identity Server
- Social account integration
• Nepy
– Parsers for Natural Language Processing

8. License Candidate
• LGPL
• Apache 2.0
• MIT
• Custom Open Source license

9. Architecture Design v1
Key Features
• Web Crawling Service
• Data Extraction Service
• Queue Service
• CQLR
(Common Query Language Runtime)
• Rich Formats Outputs and APIs
• Restful and ODATA support

10. Schedule for Lantea

11. Use Case 1 – Regional Manager Report Collection

12. Use Case 1 – Lantea Solution

13. Use Case 2 – Data Aggregation from Websites

14. Use Case 2 – Lantea Solution

15. – the Studio behind Lantea
Our Mission
• Re-create .NET Ecosystem
• Provide .NET-based solutions for clients
• Create something non-exist for .NET Community
• Contribute to Global Open Source Community
• Change the way human lives