Lantea is an open source big data platform for .NET that allows easy extraction, transformation, and loading of data from various sources. It features SQL querying of aggregated data, simple data collection from websites, files, emails and databases, and export of data in multiple formats and APIs. Lantea is targeted towards data scientists, market analysts, managers needing business intelligence, researchers, and big data developers.

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